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Udacity - Machine Learning Engineer Nanodegree [Course Drive]

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Udacity - Machine Learning Engineer Nanodegree [Course Drive] (Size: 5.37 GB)
  Course Downloaded from coursedrive.net.txt 428 B
  Udacity - Machine Learning Engineer Nanodegree nd009t v1.0.0
  Part 01-Module 01-Lesson 01_Welcome to Machine Learning
  01. 01 MLNDIntro Program Welcome V3-A8AnsR6e75I.en.vtt 4.44 KB
  01. 01 MLNDIntro Program Welcome V3-A8AnsR6e75I.mp4 13.45 MB
  01. 01 MLNDIntro Program Welcome V3-A8AnsR6e75I.pt-BR.vtt 4.73 KB
  01. 01 MLNDIntro Program Welcome V3-A8AnsR6e75I.zh-CN.vtt 3.92 KB
  01. Welcome to the Machine Learning Engineer Nanodegree Program.html 6.1 KB
  02. Projects You Will Build-P7YK47GUGWk.en.vtt 3.9 KB
  02. Projects You Will Build-P7YK47GUGWk.mp4 13.8 MB
  02. Projects You Will Build-P7YK47GUGWk.pt-BR.vtt 3.76 KB
  02. Projects You Will Build-P7YK47GUGWk.zh-CN.vtt 3.48 KB
  02. Projects You Will Build.html 8.08 KB
  03. Program Structure-rjk8-r-Aa5U.en.vtt 3.31 KB
  03. Program Structure-rjk8-r-Aa5U.mp4 13.17 MB
  03. Program Structure-rjk8-r-Aa5U.pt-BR.vtt 3.22 KB
  03. Program Structure-rjk8-r-Aa5U.zh-CN.vtt 2.81 KB
  03. Program Structure.html 8.79 KB
  04. Deadline Policy.html 18.98 KB
  05. Udacity Support.html 9.63 KB
  06. Community Guidelines.html 7.86 KB
  07. Program Readiness.html 6.37 KB
  08. Week 1 Plan.html 5.43 KB
  09. Week 2 Plan.html 5.41 KB
  img
  screen-shot-2018-06-12-at-5.07.10-pm.png 257.46 KB
  screen-shot-2018-08-17-at-2.07.36-pm.png 91.24 KB
  screen-shot-2018-08-17-at-2.07.46-pm.png 134.05 KB
  semi-supervised-learning.jpg?042148 36.85 KB
  index.html 4.15 KB
  Part 01-Module 01-Lesson 02_What is Machine Learning
  01. Introduction-bYeteZQrUcE.en.vtt 2.36 KB
  01. Introduction-bYeteZQrUcE.mp4 6.79 MB
  01. Introduction-bYeteZQrUcE.pt-BR.vtt 2.48 KB
  01. Introduction-bYeteZQrUcE.zh-CN.vtt 2.01 KB
  01. What Is Machine Learning.html 6.92 KB
  02. Decision Trees Question-1RonLycEJ34.en.vtt 1.15 KB
  02. Decision Trees Question-1RonLycEJ34.mp4 1.58 MB
  02. Decision Trees Question-1RonLycEJ34.pt-BR.vtt 1.1 KB
  02. Decision Trees Question-1RonLycEJ34.zh-CN.vtt 1.05 KB
  02. Decision Trees.html 6.95 KB
  03. Decision Trees Quiz.html 7.4 KB
  04. Decision Trees Answer-h8zH47iFhCo.en.vtt 2.65 KB
  04. Decision Trees Answer-h8zH47iFhCo.mp4 4.05 MB
  04. Decision Trees Answer-h8zH47iFhCo.pt-BR.vtt 2.66 KB
  04. Decision Trees Answer-h8zH47iFhCo.zh-CN.vtt 2.5 KB
  04. Decision Trees Answer.html 6.96 KB
  05. Naive Bayes Quiz-jsLkVYXmr3E.en.vtt 1.78 KB
  05. Naive Bayes Quiz-jsLkVYXmr3E.mp4 2.8 MB
  05. Naive Bayes Quiz-jsLkVYXmr3E.pt-BR.vtt 1.74 KB
  05. Naive Bayes Quiz-jsLkVYXmr3E.zh-CN.vtt 1.66 KB
  05. Naive Bayes.html 6.91 KB
  06. Naive Bayes Quiz.html 7.54 KB
  07. Naive Bayes Answer-YKN-fjuZ1VU.en.vtt 1.69 KB
  07. Naive Bayes Answer-YKN-fjuZ1VU.mp4 2.28 MB
  07. Naive Bayes Answer-YKN-fjuZ1VU.pt-BR.vtt 1.66 KB
  07. Naive Bayes Answer-YKN-fjuZ1VU.zh-CN.vtt 1.55 KB
  07. Naive Bayes Answer.html 6.94 KB
  08. Gradient Descent-BEC0uH1fuGU.en.vtt 1.6 KB
  08. Gradient Descent-BEC0uH1fuGU.mp4 2.45 MB
  08. Gradient Descent-BEC0uH1fuGU.pt-BR.vtt 1.52 KB
  08. Gradient Descent-BEC0uH1fuGU.zh-CN.vtt 1.41 KB
  08. Gradient Descent.html 6.92 KB
  09. Linear Regression Question-sf51L0RN6zc.en.vtt 1.5 KB
  09. Linear Regression Question-sf51L0RN6zc.mp4 1.76 MB
  09. Linear Regression Question-sf51L0RN6zc.pt-BR.vtt 1.49 KB
  09. Linear Regression Question-sf51L0RN6zc.zh-CN.vtt 1.48 KB
  09. Linear Regression Quiz.html 7.83 KB
  10. Linear Regression Answer-L5QBqYDNJn0.en.vtt 5.16 KB
  10. Linear Regression Answer-L5QBqYDNJn0.mp4 4.53 MB
  10. Linear Regression Answer-L5QBqYDNJn0.pt-BR.vtt 4.81 KB
  10. Linear Regression Answer-L5QBqYDNJn0.zh-CN.vtt 4.7 KB
  10. Linear Regression Answer.html 6.98 KB
  11. Logistic Regression Question-wQXKdeVHTmc.en.vtt 2.29 KB
  11. Logistic Regression Question-wQXKdeVHTmc.mp4 2.96 MB
  11. Logistic Regression Question-wQXKdeVHTmc.pt-BR.vtt 2.01 KB
  11. Logistic Regression Question-wQXKdeVHTmc.zh-CN.vtt 1.85 KB
  11. Logistic Regression Quiz.html 7.62 KB
  12. Logistic Regression Answer-JuAJd9Qvs6U.en.vtt 5.97 KB
  12. Logistic Regression Answer-JuAJd9Qvs6U.mp4 6.14 MB
  12. Logistic Regression Answer-JuAJd9Qvs6U.pt-BR.vtt 5.99 KB
  12. Logistic Regression Answer-JuAJd9Qvs6U.zh-CN.vtt 5.41 KB
  12. Logistic Regression Answer.html 6.99 KB
  13. SVM Question-Fwnjx0s_AIw.en.vtt 607 B
  13. SVM Question-Fwnjx0s_AIw.mp4 595.52 KB
  13. SVM Question-Fwnjx0s_AIw.pt-BR.vtt 512 B
  13. SVM Question-Fwnjx0s_AIw.zh-CN.vtt 590 B
  13. Support Vector Machines.html 6.92 KB
  14. Support Vector Machines Quiz.html 7.36 KB
  15. SVM Answer-JrUtTwfnsfM.en.vtt 3.06 KB
  15. SVM Answer-JrUtTwfnsfM.mp4 3.26 MB
  15. SVM Answer-JrUtTwfnsfM.pt-BR.vtt 2.86 KB
  15. SVM Answer-JrUtTwfnsfM.zh-CN.vtt 2.88 KB
  15. Support Vector Machines Answer.html 6.92 KB
  16. Neural Networks-xFu1_2K2D2U.en.vtt 10.18 KB
  16. Neural Networks-xFu1_2K2D2U.mp4 9.77 MB
  16. Neural Networks-xFu1_2K2D2U.pt-BR.vtt 9.75 KB
  16. Neural Networks-xFu1_2K2D2U.zh-CN.vtt 9.66 KB
  16. Neural Networks.html 6.92 KB
  17. Kernel Method Quiz-x0JqH6-Dhvw.en.vtt 2.9 KB
  17. Kernel Method Quiz-x0JqH6-Dhvw.mp4 3.09 MB
  17. Kernel Method Quiz-x0JqH6-Dhvw.pt-BR.vtt 2.66 KB
  17. Kernel Method Quiz-x0JqH6-Dhvw.zh-CN.vtt 2.72 KB
  17. Kernel Method.html 6.93 KB
  18. Kernel Method Quiz.html 7.5 KB
  19. Kernel Method Answer-dRFd6HaAXys.en.vtt 4.78 KB
  19. Kernel Method Answer-dRFd6HaAXys.mp4 6.35 MB
  19. Kernel Method Answer-dRFd6HaAXys.pt-BR.vtt 5.3 KB
  19. Kernel Method Answer-dRFd6HaAXys.zh-CN.vtt 4.54 KB
  19. Kernel Method Answer.html 6.95 KB
  20. Recap and Challenge-ecREasTrKu4.en.vtt 1.48 KB
  20. Recap and Challenge-ecREasTrKu4.mp4 2.29 MB
  20. Recap and Challenge-ecREasTrKu4.pt-BR.vtt 1.47 KB
  20. Recap and Challenge-ecREasTrKu4.zh-CN.vtt 1.38 KB
  20. Recap and Challenge.html 6.94 KB
  21. K-means Clustering-pv_i08zjpQw.en.vtt 3.81 KB
  21. K-means Clustering-pv_i08zjpQw.mp4 13.2 MB
  21. K-means Clustering-pv_i08zjpQw.pt-BR.vtt 3.46 KB
  21. K-means Clustering-pv_i08zjpQw.zh-CN.vtt 3.57 KB
  21. K-means Clustering.html 6.94 KB
  22. Hierarchical Clustering-1PldDT8AwMA.en.vtt 2.19 KB
  22. Hierarchical Clustering-1PldDT8AwMA.mp4 8.45 MB
  22. Hierarchical Clustering-1PldDT8AwMA.pt-BR.vtt 2.04 KB
  22. Hierarchical Clustering-1PldDT8AwMA.zh-CN.vtt 2.14 KB
  22. Hierarchical Clustering.html 6.97 KB
  23. Conclusion-hJEuaOUu2yA.en.vtt 1.83 KB
  23. Conclusion-hJEuaOUu2yA.mp4 9.75 MB
  23. Conclusion-hJEuaOUu2yA.pt-BR.vtt 1.87 KB
  23. Conclusion-hJEuaOUu2yA.zh-CN.vtt 1.74 KB
  23. Summary.html 6.88 KB
  img
  decision-trees.png 117.04 KB
  kernel-trick.png 98.86 KB
  naive-bayes-quiz.png 166.43 KB
  svm-image.png 45.08 KB
  index.html 5.22 KB
  Part 01-Module 01-Lesson 03_Introductory Practice Project
  01. Overview.html 5.7 KB
  02. Software Requirements.html 6.21 KB
  03. Project files.html 6.24 KB
  04. Titanic Survival Exploration.html 5.41 KB
  index.html 3.72 KB
  Part 01-Module 02-Lesson 01_Career Services Available to You
  01. Meet the Careers Team-cuKecPpZ7PM.en.vtt 3.63 KB
  01. Meet the Careers Team-cuKecPpZ7PM.mp4 10.12 MB
  01. Meet the Careers Team-cuKecPpZ7PM.pt-BR.vtt 3.83 KB
  01. Meet the Careers Team.html 6.11 KB
  02. Access Your Career Portal.html 6.03 KB
  03. Your Udacity Professional Profile.html 6.85 KB
  img
  get-hired-with-the-udacity-career-portal.gif 756.73 KB
  screen-shot-2017-10-27-at-1.49.58-pm.png 11.37 KB
  screen-shot-2018-07-27-at-1.24.38-pm.png 30.85 KB
  udacitylogo-copy.png 37.69 KB
  index.html 3.71 KB
  Part 02-Module 01-Lesson 01_Training and Testing Models
  01. 01 Intro-4C4PuJANIdE.en.vtt 994 B
  01. 01 Intro-4C4PuJANIdE.mp4 2.73 MB
  01. 01 Intro-4C4PuJANIdE.pt-BR.vtt 945 B
  01. 01 Intro-4C4PuJANIdE.zh-CN.vtt 922 B
  01. Intro.html 5.52 KB
  02. 02 Intro SC V1-mIgABrjJVBY.en.vtt 1.45 KB
  02. 02 Intro SC V1-mIgABrjJVBY.mp4 1.08 MB
  02. 02 Intro SC V1-mIgABrjJVBY.pt-BR.vtt 1.4 KB
  02. Outline.html 5.44 KB
  03. Stats Refresher.html 5.68 KB
  04. Loading data into Pandas.html 9.67 KB
  05. NumPy Arrays.html 10.77 KB
  06. Training models in sklearn.html 15.48 KB
  07. Tuning Parameters Manually.html 11.86 KB
  08. MLND Turning Paramaters-eSv2lPcnRM0.en.vtt 857 B
  08. MLND Turning Paramaters-eSv2lPcnRM0.mp4 2.4 MB
  08. MLND Turning Paramaters-eSv2lPcnRM0.pt-BR.vtt 727 B
  08. MLND Turning Paramaters-eSv2lPcnRM0.zh-CN.vtt 756 B
  08. Tuning Parameters Automatically.html 5.64 KB
  09. Testing your models.html 10.54 KB
  09. Testing-gmxGRJSKEb0.en-US.vtt 7.63 KB
  09. Testing-gmxGRJSKEb0.mp4 5.63 MB
  09. Testing-gmxGRJSKEb0.pt-BR.vtt 7.34 KB
  09. Testing-gmxGRJSKEb0.zh-CN.vtt 6.75 KB
  10. Quiz Testing in sklearn.html 11.21 KB
  img
  circle-data.png 49.91 KB
  curves.png 188.47 KB
  dataframe.png 14.38 KB
  eggsdata.png 41.81 KB
  linear-boundary.png 75.16 KB
  points.png 53.43 KB
  smalldf.png 10.51 KB
  index.html 4.19 KB
  Part 02-Module 02-Lesson 01_Evaluation Metrics
  01. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt 5.52 KB
  01. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt 5.71 KB
  01. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4 5.04 MB
  01. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt 4.76 KB
  01. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt 4.96 KB
  01. Confusion Matrix.html 8.39 KB
  02. Confusion Matrix 2.html 5.94 KB
  02. Confusion-Matrix-Solution-ywwSzyU9rYs.en-US.vtt 1.1 KB
  02. Confusion-Matrix-Solution-ywwSzyU9rYs.en.vtt 1.05 KB
  02. Confusion-Matrix-Solution-ywwSzyU9rYs.mp4 1.1 MB
  02. Confusion-Matrix-Solution-ywwSzyU9rYs.pt-BR.vtt 889 B
  02. Confusion-Matrix-Solution-ywwSzyU9rYs.zh-CN.vtt 959 B
  03. Accuracy-s6SfhPTNOHA.en-US.vtt 2.08 KB
  03. Accuracy-s6SfhPTNOHA.en.vtt 1.72 KB
  03. Accuracy-s6SfhPTNOHA.mp4 2.34 MB
  03. Accuracy-s6SfhPTNOHA.pt-BR.vtt 1.87 KB
  03. Accuracy-s6SfhPTNOHA.zh-CN.vtt 1.63 KB
  03. Accuracy.html 6.86 KB
  04. Accuracy 2-ueYCLfd_aNQ.en-US.vtt 716 B
  04. Accuracy 2-ueYCLfd_aNQ.en.vtt 688 B
  04. Accuracy 2-ueYCLfd_aNQ.mp4 573.82 KB
  04. Accuracy 2-ueYCLfd_aNQ.pt-BR.vtt 618 B
  04. Accuracy 2-ueYCLfd_aNQ.pt.vtt 656 B
  04. Accuracy 2-ueYCLfd_aNQ.zh-CN.vtt 524 B
  04. Accuracy 2.html 5.94 KB
  05. When Accuracy Wont Work-r0-O-gIDXZ0.en.vtt 2.81 KB
  05. When Accuracy Wont Work-r0-O-gIDXZ0.mp4 2.15 MB
  05. When Accuracy Wont Work-r0-O-gIDXZ0.pt-BR.vtt 2.79 KB
  05. When accuracy won't work.html 5.7 KB
  06. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.en.vtt 2.88 KB
  06. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.mp4 2.22 MB
  06. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.pt-BR.vtt 2.67 KB
  06. False Negatives and Positives.html 8.05 KB
  07. Answer False Negatives And Positives-KOytJL1lvgg.en.vtt 2.82 KB
  07. Answer False Negatives And Positives-KOytJL1lvgg.mp4 2.23 MB
  07. Answer False Negatives And Positives-KOytJL1lvgg.pt-BR.vtt 2.84 KB
  07. Precision and Recall.html 6.07 KB
  08. 06 Precision SC V1-q2wVorBfefU.en.vtt 2.69 KB
  08. 06 Precision SC V1-q2wVorBfefU.mp4 2.24 MB
  08. 06 Precision SC V1-q2wVorBfefU.pt-BR.vtt 2.64 KB
  08. Precision.html 7.32 KB
  09. 07 Recall SC V1-0n5wUZiefkQ.en.vtt 3.05 KB
  09. 07 Recall SC V1-0n5wUZiefkQ.mp4 2.15 MB
  09. 07 Recall SC V1-0n5wUZiefkQ.pt-BR.vtt 2.79 KB
  09. Recall.html 7.48 KB
  10. 08 F1 Score SC V1-TRzBeL07fSg.en.vtt 7.93 KB
  10. 08 F1 Score SC V1-TRzBeL07fSg.mp4 6.05 MB
  10. 08 F1 Score SC V1-TRzBeL07fSg.pt-BR.vtt 7.39 KB
  10. F1 Score.html 6.72 KB
  11. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.en.vtt 4.03 KB
  11. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.mp4 2.68 MB
  11. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.pt-BR.vtt 3.72 KB
  11. F-beta Score.html 10.33 KB
  12. ROC Curve-2Iw5TiGzJI4.en.vtt 8.66 KB
  12. ROC Curve-2Iw5TiGzJI4.mp4 6.66 MB
  12. ROC Curve-2Iw5TiGzJI4.pt-BR.vtt 8.12 KB
  12. ROC Curve-2Iw5TiGzJI4.zh-CN.vtt 7.3 KB
  12. ROC Curve.html 5.72 KB
  13. Regression Metrics.html 5.79 KB
  13. Regression-Metrics-906P4BPnl9A.en-US.vtt 4.23 KB
  13. Regression-Metrics-906P4BPnl9A.mp4 3.35 MB
  13. Regression-Metrics-906P4BPnl9A.pt-BR.vtt 3.93 KB
  13. Regression-Metrics-906P4BPnl9A.zh-CN.vtt 3.62 KB
  img
  accuracy-quiz.png 105.85 KB
  confusion.png 188.85 KB
  email.png 148.53 KB
  fbeta.png 337.08 KB
  medical.png 186.53 KB
  precision-quiz.png 250.81 KB
  recall-quiz.png 228.26 KB
  index.html 4.3 KB
  Part 02-Module 03-Lesson 01_Model Selection
  01. 04 L Types Of Errors-Twf1qnPZeSY.en-US.vtt 6.89 KB
  01. 04 L Types Of Errors-Twf1qnPZeSY.mp4 6.55 MB
  01. 04 L Types Of Errors-Twf1qnPZeSY.pt-BR.vtt 6.23 KB
  01. 04 L Types Of Errors-Twf1qnPZeSY.zh-CN.vtt 6.02 KB
  01. Types of Errors.html 5.97 KB
  02. Model Complexity Graph-Question-YS5OQCA5cLY.en-US.vtt 3.32 KB
  02. Model Complexity Graph-Question-YS5OQCA5cLY.mp4 5.41 MB
  02. Model Complexity Graph-Question-YS5OQCA5cLY.pt-BR.vtt 3.12 KB
  02. Model Complexity Graph-Question-YS5OQCA5cLY.zh-CN.vtt 3.03 KB
  02. Model Complexity Graph.html 7.11 KB
  03. Cross Validation.html 6.03 KB
  03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.en-US.vtt 6.11 KB
  03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.mp4 9.23 MB
  03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.pt-BR.vtt 5.74 KB
  03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.zh-CN.vtt 5.23 KB
  04. K-Fold Cross Validation.html 5.77 KB
  04. KFold Cross Validation V3 V1-9W6o6eWGi-0.mp4 1.75 MB
  04. KFold Cross Validation V3 V1-9W6o6eWGi-0.pt-BR.vtt 2.07 KB
  05. Learning Curves SC V1-ZNhnNVKl8NM.en.vtt 7.98 KB
  05. Learning Curves SC V1-ZNhnNVKl8NM.mp4 6.01 MB
  05. Learning Curves SC V1-ZNhnNVKl8NM.pt-BR.vtt 8.1 KB
  05. Learning Curves.html 6.11 KB
  06. Detecting Overfitting and Underfitting with Learning Curves.html 18.23 KB
  07. Solution Detecting Overfitting and Underfitting.html 8.86 KB
  08. Grid Search SC V1-zDw-ZGiHW5I.en.vtt 4.05 KB
  08. Grid Search SC V1-zDw-ZGiHW5I.mp4 3.44 MB
  08. Grid Search SC V1-zDw-ZGiHW5I.pt-BR.vtt 4.15 KB
  08. Grid Search.html 6.22 KB
  09. Grid Search in sklearn.html 7.53 KB
  10. Grid Search Lab.html 6.37 KB
  11. [Solution] Grid Search Lab.html 6.39 KB
  12. Outro SC V1-YD1grQje9fw.en.vtt 1.64 KB
  12. Outro SC V1-YD1grQje9fw.mp4 1.39 MB
  12. Outro SC V1-YD1grQje9fw.pt-BR.vtt 1.71 KB
  12. Summary.html 5.79 KB
  13. MLND Outro-sFvMBncQjr8.en.vtt 514 B
  13. MLND Outro-sFvMBncQjr8.mp4 2.05 MB
  13. MLND Outro-sFvMBncQjr8.pt-BR.vtt 533 B
  13. MLND Outro-sFvMBncQjr8.zh-CN.vtt 437 B
  13. Outro.html 5.89 KB
  img
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  complexity.png 95.64 KB
  learning-curves.png 109.03 KB
  models.png 627.96 KB
  index.html 4.47 KB
  Part 02-Module 04-Lesson 01_NumPy and pandas Assessment
  01. Assessment.html 7.49 KB
  index.html 3.48 KB
  Part 02-Module 04-Lesson 02_Model Evaluation and Validation Assessment
  01. Model Evaluation and Validation assessment.html 8.64 KB
  index.html 3.58 KB
  Part 02-Module 05-Lesson 01_Predicting Boston Housing Prices
  01. Project Overview.html 6.21 KB
  02. Starting the project.html 6.54 KB
  03. Submitting the project.html 6.71 KB
  04. Uploading to Workspace.html 6.46 KB
  05. Project Workspace.html 5.83 KB
  Project Description - Predicting Boston Housing Prices.html 7.92 KB
  Project Rubric - Predicting Boston Housing Prices.html 10.48 KB
  img
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  index.html 4.09 KB
  Part 03-Module 01-Lesson 01_Linear Regression
  01. Intro.html 6.86 KB
  01. Welcome To Linear Regression-zxZkTkM34BY.en.vtt 1.15 KB
  01. Welcome To Linear Regression-zxZkTkM34BY.mp4 3.9 MB
  01. Welcome To Linear Regression-zxZkTkM34BY.pt-BR.vtt 1.21 KB
  02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.en.vtt 1.36 KB
  02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.mp4 1.48 MB
  02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.pt-BR.vtt 1.46 KB
  02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.zh-CN.vtt 1.26 KB
  02. Quiz Housing Prices.html 8.15 KB
  03. Solution Housing Prices-uhdTulw9-Nc.en.vtt 939 B
  03. Solution Housing Prices-uhdTulw9-Nc.mp4 1001.4 KB
  03. Solution Housing Prices-uhdTulw9-Nc.pt-BR.vtt 1 KB
  03. Solution Housing Prices.html 6.89 KB
  04. Fitting A Line-gkdoknEEcaI.en.vtt 1.41 KB
  04. Fitting A Line-gkdoknEEcaI.mp4 1.12 MB
  04. Fitting A Line-gkdoknEEcaI.pt-BR.vtt 1.42 KB
  04. Fitting a Line Through Data.html 6.85 KB
  05. Moving A Line-8EIHFyL2Log.en.vtt 1.16 KB
  05. Moving A Line-8EIHFyL2Log.mp4 981.31 KB
  05. Moving A Line-8EIHFyL2Log.pt-BR.vtt 1.05 KB
  05. Moving a Line.html 6.82 KB
  06. Absolute Trick-DJWjBAqSkZw.en.vtt 6.58 KB
  06. Absolute Trick-DJWjBAqSkZw.mp4 5.17 MB
  06. Absolute Trick-DJWjBAqSkZw.pt-BR.vtt 6.41 KB
  06. Absolute Trick.html 6.83 KB
  07. Square Trick-AGZEq-yQgRM.en.vtt 3.91 KB
  07. Square Trick-AGZEq-yQgRM.mp4 3.28 MB
  07. Square Trick-AGZEq-yQgRM.pt-BR.vtt 3.78 KB
  07. Square Trick.html 6.82 KB
  08. Gradient Descent-4s4x9h6AN5Y.en.vtt 5.61 KB
  08. Gradient Descent-4s4x9h6AN5Y.mp4 4.25 MB
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  09. Mean Absolute Error-vLKiY0Ehors.en.vtt 3.52 KB
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  12. Mean vs Total Error.html 8.16 KB
  13. Mini-batch Gradient Descent.html 8.49 KB
  14. Absolute Error vs Squared Error.html 10.56 KB
  14. Absolute Vs Squared Error-csvdjaqt1GM.en.vtt 831 B
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  15. Linear Regression in scikit-learn.html 16.63 KB
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  17. Multiple Linear Regression.html 13.19 KB
  18. Closed Form Solution-G3fRVgLa5gI.en.vtt 3.54 KB
  18. Closed Form Solution-G3fRVgLa5gI.mp4 2.84 MB
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  18. Closed Form Solution.html 7.03 KB
  19. (Optional) Closed form Solution Math.html 14.32 KB
  20. Linear Regression Warnings.html 8.77 KB
  21. Polynomial Regression-DBhWG-PagEQ.en.vtt 1.29 KB
  21. Polynomial Regression-DBhWG-PagEQ.mp4 982.28 KB
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  22. Regularization-PyFNIcsNma0.en.vtt 10.87 KB
  22. Regularization-PyFNIcsNma0.mp4 8.76 MB
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  23. Conclusion-pyeojf0NniQ.en.vtt 558 B
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  23. Conclusion-pyeojf0NniQ.pt-BR.vtt 590 B
  23. Outro.html 6.79 KB
  img
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  Part 03-Module 01-Lesson 02_Perceptron Algorithm
  01. Intro.html 5.55 KB
  01. Perception Algorithm V2-ebIlG6Pqwas.en.vtt 1.01 KB
  01. Perception Algorithm V2-ebIlG6Pqwas.mp4 5.37 MB
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  02. Classification Problems 1.html 6.76 KB
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  02. Classsification Example-Dh625piH7Z0.mp4 2.07 MB
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  03. Classification Example-46PywnGa_cQ.en.vtt 1.76 KB
  03. Classification Example-46PywnGa_cQ.mp4 1.62 MB
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  03. Classification Problems 2.html 5.59 KB
  04. Linear Boundaries-X-uMlsBi07k.en.vtt 3.85 KB
  04. Linear Boundaries-X-uMlsBi07k.mp4 3.85 MB
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  04. Linear Boundaries.html 6.29 KB
  05. 09 Higher Dimensions-eBHunImDmWw.en.vtt 2.95 KB
  05. 09 Higher Dimensions-eBHunImDmWw.mp4 2.59 MB
  05. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt 2.66 KB
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  05. Higher Dimensions.html 6.75 KB
  06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt 5.89 KB
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  06. Perceptrons.html 6.69 KB
  07. AND And OR Perceptrons-45K5N0P9wJk.en.vtt 3 KB
  07. AND And OR Perceptrons-45K5N0P9wJk.mp4 2.68 MB
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  07. Perceptrons as Logical Operators.html 17.2 KB
  07. XOR Perceptron-TF83GfjYLdw.en.vtt 1.01 KB
  07. XOR Perceptron-TF83GfjYLdw.mp4 947 KB
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  08. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt 4.11 KB
  08. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4 3.66 MB
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  08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt 420 B
  08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4 260.01 KB
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  08. Perceptron Algorithm--zhTROHtscQ.en.vtt 2.64 KB
  08. Perceptron Algorithm--zhTROHtscQ.mp4 1.92 MB
  08. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt 2.41 KB
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  08. Perceptron Trick.html 9.34 KB
  09. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt 3.45 KB
  09. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4 2.87 MB
  09. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt 3.27 KB
  09. Perceptron Algorithm.html 13.01 KB
  10. Outro.html 5.52 KB
  img
  and-quiz.png 265.78 KB
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  Part 03-Module 01-Lesson 03_Decision Trees
  01. Intro.html 6.63 KB
  01. MLND SL DT 00 Intro V2-l34ijtQhVNk.en.vtt 4.37 KB
  01. MLND SL DT 00 Intro V2-l34ijtQhVNk.mp4 21.68 MB
  01. MLND SL DT 00 Intro V2-l34ijtQhVNk.pt-BR.vtt 4.25 KB
  01. MLND SL DT 00 Intro V2-l34ijtQhVNk.zh-CN.vtt 4.26 KB
  02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.en.vtt 1.66 KB
  02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.mp4 4.8 MB
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  02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.zh-CN.vtt 1.53 KB
  02. Recommending Apps 1.html 9.86 KB
  03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.en.vtt 1.56 KB
  03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.mp4 4.19 MB
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  03. Recommending Apps 2.html 7.88 KB
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  04. Recommending Apps-nEvW8B1HNq4.en.vtt 2.78 KB
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  05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.en.vtt 1.8 KB
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  05. Quiz Student Admissions.html 8.02 KB
  06. Solution Student Admissions.html 6.87 KB
  06. Student Admissions-TdgBi6LtOB8.en.vtt 2.5 KB
  06. Student Admissions-TdgBi6LtOB8.mp4 5.41 MB
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  07. Entropy-piLpj1V1HEk.en.vtt 4.78 KB
  07. Entropy-piLpj1V1HEk.mp4 12.59 MB
  07. Entropy-piLpj1V1HEk.pt-BR.vtt 4.19 KB
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  07. Entropy.html 6.56 KB
  08. Entropy Formula 1.html 8.37 KB
  08. Entropy Formula-iZiSYrOKvpo.en.vtt 1.8 KB
  08. Entropy Formula-iZiSYrOKvpo.mp4 4.3 MB
  08. Entropy Formula-iZiSYrOKvpo.pt-BR.vtt 1.69 KB
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  09. Entropy Formula 2.html 7.93 KB
  09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.en.vtt 4.88 KB
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  10. Entropy Formula 3.html 7.07 KB
  10. Entropy Formula-w73JTBVeyjE.en.vtt 2.93 KB
  10. Entropy Formula-w73JTBVeyjE.mp4 8 MB
  10. Entropy Formula-w73JTBVeyjE.pt-BR.vtt 2.61 KB
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  11. Multiclass Entropy.html 8.55 KB
  12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.en.vtt 771 B
  12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.mp4 2.16 MB
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  12. Quiz Information Gain.html 8.78 KB
  13. Information Gain-k9iZL53PAmw.en.vtt 3.35 KB
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  13. Solution Information Gain.html 7.31 KB
  14. Maximizing Information Gain-3FgJOpKfdY8.en.vtt 4 KB
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  15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.en.vtt 2.65 KB
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  15. Random Forests.html 6.71 KB
  16. Hyperparameters.html 12.44 KB
  17. Decision Trees in sklearn.html 15.66 KB
  18. Titanic Survival Model with Decision Trees.html 7.09 KB
  19. [Solution] Titanic Survival Model.html 7.08 KB
  20. Outro.html 6.56 KB
  img
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  index.html 4.97 KB
  Part 03-Module 01-Lesson 04_Naive Bayes
  01. Intro.html 6.14 KB
  01. Naive Bayes Intro V2-vNOiQXghgRY.en.vtt 716 B
  01. Naive Bayes Intro V2-vNOiQXghgRY.mp4 3.22 MB
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  02. Guess the Person.html 6.21 KB
  02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.en.vtt 3.4 KB
  02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4 8.49 MB
  02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.pt-BR.vtt 3.25 KB
  02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.zh-CN.vtt 3 KB
  03. Known and Inferred.html 6.22 KB
  03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.en.vtt 1.23 KB
  03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.mp4 2.62 MB
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  04. Guess the Person Now.html 6.51 KB
  04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.en.vtt 7.22 KB
  04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4 21.06 MB
  04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.pt-BR.vtt 7.27 KB
  04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.zh-CN.vtt 6.05 KB
  05. Bayes Theorem.html 6.19 KB
  05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.en.vtt 2.66 KB
  05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp4 7.25 MB
  05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.pt-BR.vtt 2.77 KB
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  06. Quiz False Positives.html 7.41 KB
  06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.en.vtt 1.93 KB
  06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.mp4 5.41 MB
  06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.pt-BR.vtt 1.94 KB
  06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.zh-CN.vtt 1.67 KB
  07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.en.vtt 6.46 KB
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  07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.pt-BR.vtt 6.53 KB
  07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.zh-CN.vtt 5.41 KB
  07. Solution False Positives.html 6.23 KB
  08. Bayesian Learning 1.html 9.45 KB
  08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.en.vtt 2.38 KB
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  08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.pt-BR.vtt 2.22 KB
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  09. Bayesian Learning 2.html 6.24 KB
  09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.en.vtt 1.58 KB
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  10. Bayesian Learning 3.html 6.53 KB
  10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.en.vtt 3.21 KB
  10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.mp4 9.33 MB
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  11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.en.vtt 6.47 KB
  11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.mp4 5.14 MB
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  11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.zh-CN.vtt 5.56 KB
  11. Naive Bayes Algorithm 1.html 7.63 KB
  12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.en.vtt 1.74 KB
  12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.mp4 1.41 MB
  12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.pt-BR.vtt 1.7 KB
  12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.zh-CN.vtt 1.5 KB
  12. Naive Bayes Algorithm 2.html 6.27 KB
  13. Building a Spam Classifier.html 7.25 KB
  14. Project.html 6.67 KB
  15. Spam Classifier - Workspace.html 6.59 KB
  16. Outro.html 6.14 KB
  img
  meme.png 209.05 KB
  spam.png 67.76 KB
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  index.html 4.59 KB
  Part 03-Module 01-Lesson 05_Support Vector Machines
  01. Intro.html 6.33 KB
  01. Support Vector Machine V2-LBmM6pZCrI0.en.vtt 514 B
  01. Support Vector Machine V2-LBmM6pZCrI0.mp4 2.42 MB
  01. Support Vector Machine V2-LBmM6pZCrI0.pt-BR.vtt 543 B
  01. Support Vector Machine V2-LBmM6pZCrI0.zh-CN.vtt 432 B
  02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.en.vtt 701 B
  02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.mp4 1.55 MB
  02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.pt-BR.vtt 638 B
  02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.zh-CN.vtt 588 B
  02. Which line is better.html 7.37 KB
  03. Minimizing Distances.html 6.38 KB
  03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.en.vtt 1.4 KB
  03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.mp4 2.91 MB
  03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.pt-BR.vtt 1.09 KB
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  04. Error Function Intuition.html 6.36 KB
  04. SVM 03 Error Function V1-l-ahImxoi-U.en.vtt 2.71 KB
  04. SVM 03 Error Function V1-l-ahImxoi-U.mp4 5.88 MB
  04. SVM 03 Error Function V1-l-ahImxoi-U.pt-BR.vtt 2.37 KB
  04. SVM 03 Error Function V1-l-ahImxoi-U.zh-CN.vtt 2.34 KB
  05. Perceptron Algorithm.html 6.9 KB
  05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.en.vtt 4.64 KB
  05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.mp4 12.93 MB
  05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.pt-BR.vtt 3.99 KB
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  18. Outro.html 6.23 KB
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  Part 03-Module 01-Lesson 06_Ensemble Methods
  01. Intro.html 5.49 KB
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  10. Resources.html 5.73 KB
  11. Outro.html 5.48 KB
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  Part 03-Module 01-Lesson 07_Supervised Learning Assessment
  01. Supervised Learning Assessment.html 8.92 KB
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  Part 03-Module 01-Lesson 08_Supervised Learning Project
  01. ML Charity Project-aVodYHcOB8U.en.vtt 1.32 KB
  01. ML Charity Project-aVodYHcOB8U.mp4 3.99 MB
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  01. Overview.html 6.25 KB
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  Project Description - Finding Donors for CharityML.html 7.47 KB
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  Part 04-Module 02-Lesson 01_Clustering
  01. Introduction.html 7.43 KB
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  Part 04-Module 02-Lesson 02_Clustering Mini-Project
  01. Intro.html 5.8 KB
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  index.html 3.63 KB
  Part 04-Module 02-Lesson 03_Hierarchical and Density-based Clustering
  01. K-means considerations.html 6.57 KB
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  05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.en.vtt 7.92 KB
  05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.mp4 22.51 MB
  05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.pt-BR.vtt 7.64 KB
  05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.zh-CN.vtt 7.17 KB
  06. Hierarchical clustering implementation.html 6.83 KB
  06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.en.vtt 1.76 KB
  06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.mp4 7.48 MB
  06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.pt-BR.vtt 1.61 KB
  06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.zh-CN.vtt 1.64 KB
  07. [Lab] Hierarchical clustering .html 6.9 KB
  08. [Lab Solution] Hierarchical Clustering.html 6.92 KB
  09. HC examples and applications.html 7.3 KB
  09. MLND - Unsupervised Learning - L2 07 HC Examples & Applications MAIN V1 V2-HTahFoQwk2g.en.vtt 1.98 KB
  09. MLND - Unsupervised Learning - L2 07 HC Examples & Applications MAIN V1 V2-HTahFoQwk2g.mp4 9.16 MB
  09. MLND - Unsupervised Learning - L2 07 HC Examples & Applications MAIN V1 V2-HTahFoQwk2g.pt-BR.vtt 1.99 KB
  09. MLND - Unsupervised Learning - L2 07 HC Examples & Applications MAIN V1 V2-HTahFoQwk2g.zh-CN.vtt 1.63 KB
  10. [Quiz] Hierarchical clustering.html 8.19 KB
  11. DBSCAN.html 6.98 KB
  11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.en.vtt 6.58 KB
  11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.mp4 19.97 MB
  11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.pt-BR.vtt 5.79 KB
  11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.zh-CN.vtt 6.11 KB
  12. DBSCAN implementation.html 6.72 KB
  12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.en.vtt 842 B
  12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.mp4 3.63 MB
  12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.pt-BR.vtt 786 B
  12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.zh-CN.vtt 769 B
  13. [Lab] DBSCAN.html 6.87 KB
  14. [Lab Solution] DBSCAN.html 6.89 KB
  15. DBSCAN examples & applications.html 7.2 KB
  15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples & Applications MAIN V1 V2-GhyFsjQ4FkA.en.vtt 4.5 KB
  15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples & Applications MAIN V1 V2-GhyFsjQ4FkA.mp4 17.78 MB
  15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples & Applications MAIN V1 V2-GhyFsjQ4FkA.pt-BR.vtt 4.37 KB
  15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples & Applications MAIN V1 V2-GhyFsjQ4FkA.zh-CN.vtt 3.98 KB
  16. [Quiz] DBSCAN.html 8.09 KB
  index.html 4.93 KB
  Part 04-Module 02-Lesson 04_Gaussian Mixture Models and Cluster Validation
  01. Intro.html 7.45 KB
  01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.en.vtt 2.28 KB
  01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.mp4 8.39 MB
  01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.pt-BR.vtt 2.41 KB
  01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.zh-CN.vtt 2.02 KB
  02. Gaussian Mixture Model (GMM) Clustering.html 7.57 KB
  02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.en.vtt 1.2 KB
  02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.mp4 4.34 MB
  02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.pt-BR.vtt 1.27 KB
  02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.zh-CN.vtt 1008 B
  03. Gaussian Distribution in One Dimension.html 7.53 KB
  03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.en.vtt 2.48 KB
  03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.mp4 8.39 MB
  03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.pt-BR.vtt 2.32 KB
  03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.zh-CN.vtt 2.09 KB
  04. GMM Clustering in One Dimension.html 7.49 KB
  04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.en.vtt 3.07 KB
  04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.mp4 10.26 MB
  04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.pt-BR.vtt 3.35 KB
  04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.zh-CN.vtt 2.8 KB
  05. Gaussian Distribution in 2D.html 7.52 KB
  05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.en.vtt 1.92 KB
  05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.mp4 6.99 MB
  05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.pt-BR.vtt 2.03 KB
  05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.zh-CN.vtt 1.66 KB
  06. GMM in 2D.html 7.42 KB
  06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.en.vtt 1.42 KB
  06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.mp4 6 MB
  06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.pt-BR.vtt 1.59 KB
  06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.zh-CN.vtt 1.21 KB
  07. Quiz Gaussian Mixtures.html 10.4 KB
  08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.en.vtt 1.76 KB
  08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.mp4 6.42 MB
  08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.pt-BR.vtt 1.98 KB
  08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.zh-CN.vtt 1.43 KB
  08. Overview of The Expectation Maximization (EM) Algorithm.html 7.69 KB
  09. Expectation Maximization Part 1.html 7.55 KB
  09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.en.vtt 7.81 KB
  09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.mp4 32.58 MB
  09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.pt-BR.vtt 7.9 KB
  09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.zh-CN.vtt 6.74 KB
  10. Expectation Maximization Part 2.html 7.54 KB
  10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.en.vtt 6.98 KB
  10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.mp4 26.3 MB
  10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.pt-BR.vtt 6.94 KB
  10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.zh-CN.vtt 5.98 KB
  11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.en.vtt 3.18 KB
  11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.mp4 19.74 MB
  11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.pt-BR.vtt 2.95 KB
  11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.zh-CN.vtt 2.88 KB
  11. Visual Example of EM Progress.html 7.53 KB
  12. Quiz Expectation Maximization.html 7.47 KB
  13. GMM Implementation.html 7.46 KB
  13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.en.vtt 635 B
  13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.mp4 2.98 MB
  13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.pt-BR.vtt 694 B
  13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.zh-CN.vtt 561 B
  14. GMM Examples & Applications.html 8.45 KB
  14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.en.vtt 6.5 KB
  14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.mp4 31.64 MB
  14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.pt-BR.vtt 6.43 KB
  14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.zh-CN.vtt 5.62 KB
  15. Cluster Analysis Process.html 7.5 KB
  15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.en.vtt 4.27 KB
  15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.mp4 11.7 MB
  15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.pt-BR.vtt 4.37 KB
  15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.zh-CN.vtt 3.71 KB
  16. Cluster Validation.html 7.45 KB
  16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.en.vtt 2.12 KB
  16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.mp4 5.85 MB
  16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.pt-BR.vtt 2.28 KB
  16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.zh-CN.vtt 1.76 KB
  17. External Validation Indices.html 7.74 KB
  17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.en.vtt 6.29 KB
  17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.mp4 23.18 MB
  17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.pt-BR.vtt 5.84 KB
  17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.zh-CN.vtt 5.35 KB
  18. Quiz Adjusted Rand Index.html 7.92 KB
  19. Internal Validation Indices.html 7.81 KB
  19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.en.vtt 10.24 KB
  19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.mp4 40.74 MB
  19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.pt-BR.vtt 9.62 KB
  19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.zh-CN.vtt 9.04 KB
  20. Quiz Silhouette Coefficient .html 7.42 KB
  21. GMM & Cluster Validation Lab.html 7.66 KB
  22. GMM & Cluster Validation Lab Solution.html 7.68 KB
  img
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  gmm-1d-quiz.png 26.76 KB
  gmm-2d-quiz.png 78.44 KB
  gmm-quiz.png 80.65 KB
  index.html 5.55 KB
  Part 04-Module 03-Lesson 01_Feature Scaling
  01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.ar.vtt 512 B
  01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.en.vtt 419 B
  01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.mp4 1.19 MB
  01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.pt-BR.vtt 421 B
  01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.zh-CN.vtt 335 B
  01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.ar.vtt 3.03 KB
  01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.en.vtt 2.28 KB
  01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.mp4 6.64 MB
  01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.pt-BR.vtt 2.41 KB
  01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.zh-CN.vtt 1.94 KB
  01. Chris's T-Shirt Size (Intuition).html 7.81 KB
  02. A Metric for Chris-O0bvLU4l0is.ar.vtt 976 B
  02. A Metric for Chris-O0bvLU4l0is.en.vtt 820 B
  02. A Metric for Chris-O0bvLU4l0is.mp4 3.98 MB
  02. A Metric for Chris-O0bvLU4l0is.pt-BR.vtt 893 B
  02. A Metric for Chris-O0bvLU4l0is.zh-CN.vtt 733 B
  02. A Metric for Chris-Thj7e55iSlA.ar.vtt 226 B
  02. A Metric for Chris-Thj7e55iSlA.en.vtt 140 B
  02. A Metric for Chris-Thj7e55iSlA.mp4 853.58 KB
  02. A Metric for Chris-Thj7e55iSlA.pt-BR.vtt 143 B
  02. A Metric for Chris.html 7.29 KB
  03. Height + Weight for Cameron--dT9dztM-Lc.ar.vtt 171 B
  03. Height + Weight for Cameron--dT9dztM-Lc.en.vtt 141 B
  03. Height + Weight for Cameron--dT9dztM-Lc.mp4 1.04 MB
  03. Height + Weight for Cameron--dT9dztM-Lc.pt-BR.vtt 164 B
  03. Height + Weight for Cameron-MetxO9LDp-I.ar.vtt 282 B
  03. Height + Weight for Cameron-MetxO9LDp-I.en.vtt 214 B
  03. Height + Weight for Cameron-MetxO9LDp-I.mp4 483.93 KB
  03. Height + Weight for Cameron-MetxO9LDp-I.pt-BR.vtt 230 B
  03. Height + Weight for Cameron-MetxO9LDp-I.zh-CN.vtt 222 B
  03. Height + Weight for Cameron.html 7.39 KB
  04. Sarah's Height + Weight-OdsfV143AMc.ar.vtt 204 B
  04. Sarah's Height + Weight-OdsfV143AMc.en.vtt 164 B
  04. Sarah's Height + Weight-OdsfV143AMc.mp4 282.39 KB
  04. Sarah's Height + Weight-OdsfV143AMc.pt-BR.vtt 180 B
  04. Sarah's Height + Weight-OdsfV143AMc.zh-CN.vtt 166 B
  04. Sarah's Height + Weight-p5p3OLARpmA.ar.vtt 118 B
  04. Sarah's Height + Weight-p5p3OLARpmA.en.vtt 104 B
  04. Sarah's Height + Weight-p5p3OLARpmA.mp4 422.6 KB
  04. Sarah's Height + Weight-p5p3OLARpmA.pt-BR.vtt 105 B
  04. Sarah's Height + Weight-p5p3OLARpmA.zh-CN.vtt 107 B
  04. Sarah's Height + Weight.html 7.52 KB
  05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.ar.vtt 561 B
  05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.en.vtt 399 B
  05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.mp4 1.28 MB
  05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.pt-BR.vtt 426 B
  05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.zh-CN.vtt 369 B
  05. Chris's Shirt Size by Our Metric-oWyt6md7P44.ar.vtt 697 B
  05. Chris's Shirt Size by Our Metric-oWyt6md7P44.en.vtt 483 B
  05. Chris's Shirt Size by Our Metric-oWyt6md7P44.mp4 1.46 MB
  05. Chris's Shirt Size by Our Metric-oWyt6md7P44.pt-BR.vtt 518 B
  05. Chris's Shirt Size by Our Metric-oWyt6md7P44.zh-CN.vtt 425 B
  05. Chris's Shirt Size by Our Metric.html 7.81 KB
  06. Comparing Features with Different Scales-PRL8trOU7Rs.ar.vtt 4.36 KB
  06. Comparing Features with Different Scales-PRL8trOU7Rs.en.vtt 3.04 KB
  06. Comparing Features with Different Scales-PRL8trOU7Rs.mp4 11.52 MB
  06. Comparing Features with Different Scales-PRL8trOU7Rs.pt-BR.vtt 3.12 KB
  06. Comparing Features with Different Scales-PRL8trOU7Rs.zh-CN.vtt 2.55 KB
  06. Comparing Features with Different Scales.html 6.34 KB
  07. Feature Scaling Formula Quiz 1-jOxS1eJRsOk.ar.vtt 1.63 KB
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  07. Feature Scaling Formula Quiz 1-jOxS1eJRsOk.mp4 3.37 MB
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  07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.ar.vtt 284 B
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  07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.mp4 546.12 KB
  07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.pt-BR.vtt 186 B
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  07. Feature Scaling Formula Quiz 1.html 7.58 KB
  08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.ar.vtt 306 B
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  08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.pt-BR.vtt 233 B
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  08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.ar.vtt 140 B
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  08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.mp4 189.32 KB
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  08. Feature Scaling Formula Quiz 2.html 7.58 KB
  09. Feature Scaling Formula Quiz 3-bY2fuRkH3iw.ar.vtt 1.92 KB
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  09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.ar.vtt 842 B
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  09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.mp4 2.46 MB
  09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.pt-BR.vtt 683 B
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  09. Feature Scaling Formula Quiz 3.html 7.82 KB
  10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.ar.vtt 1.1 KB
  10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.en.vtt 828 B
  10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.mp4 1.58 MB
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  10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.ar.vtt 624 B
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  10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.mp4 745.32 KB
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  10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.zh-CN.vtt 396 B
  10. MinMax Rescaler Coding Quiz.html 8.76 KB
  11. MinMax Scaler in sklearn-lgoh5R05YM0.ar.vtt 7.96 KB
  11. MinMax Scaler in sklearn-lgoh5R05YM0.en.vtt 6.09 KB
  11. MinMax Scaler in sklearn-lgoh5R05YM0.mp4 14.9 MB
  11. MinMax Scaler in sklearn-lgoh5R05YM0.pt-BR.vtt 5.62 KB
  11. MinMax Scaler in sklearn-lgoh5R05YM0.zh-CN.vtt 5.41 KB
  11. MinMax Scaler in sklearn.html 6.22 KB
  12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.ar.vtt 1.73 KB
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  Part 04-Module 04-Lesson 01_PCA
  01. Data Dimensionality-bAZJT4xHiXM.ar.vtt 357 B
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  01. Data Dimensionality-bAZJT4xHiXM.mp4 556.61 KB
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  01. Data Dimensionality-gg7SAMMl4kM.ar.vtt 1.57 KB
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  02. Trickier Data Dimensionality--dcNhrSPmoY.ar.vtt 168 B
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  02. Trickier Data Dimensionality-s24-ikl3ZAs.ar.vtt 505 B
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  02. Trickier Data Dimensionality-s24-ikl3ZAs.mp4 1.31 MB
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  03. One-Dimensional, or Two-QsncWsyboFk.ar.vtt 360 B
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  03. One-Dimensional, or Two-QsncWsyboFk.mp4 1.05 MB
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  04. Slightly Less Perfect Data-9O7cJSP4C8w.ar.vtt 1016 B
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  04. Slightly Less Perfect Data-9O7cJSP4C8w.mp4 3.85 MB
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  04. Slightly Less Perfect Data-g5yfjKWIKN4.ar.vtt 425 B
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  04. Slightly Less Perfect Data-g5yfjKWIKN4.mp4 1.37 MB
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  04. Slightly Less Perfect Data.html 9.81 KB
  05. Trickiest Data Dimensionality-mTcuS5jUeUE.ar.vtt 1.75 KB
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  05. Trickiest Data Dimensionality-mTcuS5jUeUE.mp4 7.02 MB
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  05. Trickiest Data Dimensionality-vIxDt0bNV9g.ar.vtt 425 B
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  05. Trickiest Data Dimensionality.html 9.84 KB
  06. PCA for Data Transformation-nDuo5ECT1G4.ar.vtt 2.14 KB
  06. PCA for Data Transformation-nDuo5ECT1G4.en.vtt 1.55 KB
  06. PCA for Data Transformation-nDuo5ECT1G4.mp4 7.86 MB
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  06. PCA for Data Transformation.html 8.37 KB
  07. Center of a New Coordinate System-1ask5zHGQKM.ar.vtt 393 B
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  07. Center of a New Coordinate System-1ask5zHGQKM.mp4 1.81 MB
  07. Center of a New Coordinate System-1ask5zHGQKM.pt-BR.vtt 271 B
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  07. Center of a New Coordinate System-Kst3mlrqJnQ.ar.vtt 1.32 KB
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  08. Principal Axis of New Coordinate System-i6zv8vyZBk0.ar.vtt 1016 B
  08. Principal Axis of New Coordinate System-i6zv8vyZBk0.en.vtt 775 B
  08. Principal Axis of New Coordinate System-i6zv8vyZBk0.mp4 3.15 MB
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  08. Principal Axis of New Coordinate System-qPr3Uj55eog.ar.vtt 301 B
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  08. Principal Axis of New Coordinate System-qPr3Uj55eog.mp4 702.49 KB
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  09. Second Principal Component Of New System-PqtW_Ux2_nY.ar.vtt 1.7 KB
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  09. Second Principal Component Of New System-cTjBlM2ATLQ.ar.vtt 711 B
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  09. Second Principal Component Of New System-cTjBlM2ATLQ.mp4 1.26 MB
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  09. Second Principal Component of New System.html 10.32 KB
  10. Practice Finding Centers-FZVBF1HR4U0.ar.vtt 122 B
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  10. Practice Finding Centers-FZVBF1HR4U0.mp4 577.97 KB
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  10. Practice Finding Centers-PRjmvj6Vubs.ar.vtt 1019 B
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  10. Practice Finding Centers-PRjmvj6Vubs.mp4 3.87 MB
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  10. Practice Finding Centers.html 9.86 KB
  11. Practice Finding New Axes-aZqYc7v8BK4.ar.vtt 2.99 KB
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  11. Practice Finding New Axes-aZqYc7v8BK4.mp4 6.31 MB
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  11. Practice Finding New Axes-th34aboBOO0.ar.vtt 203 B
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  11. Practice Finding New Axes-th34aboBOO0.mp4 350.64 KB
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  11. Practice Finding New Axes.html 9.75 KB
  12. Which Data is Ready for PCA-JSVsHbGUuIE.ar.vtt 769 B
  12. Which Data is Ready for PCA-JSVsHbGUuIE.en.vtt 622 B
  12. Which Data is Ready for PCA-JSVsHbGUuIE.mp4 3.35 MB
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  12. Which Data is Ready for PCA-Su7kIUVPu6w.ar.vtt 1.81 KB
  12. Which Data is Ready for PCA-Su7kIUVPu6w.en.vtt 1.27 KB
  12. Which Data is Ready for PCA-Su7kIUVPu6w.mp4 6.68 MB
  12. Which Data is Ready for PCA-Su7kIUVPu6w.pt-BR.vtt 1.3 KB
  12. Which Data is Ready for PCA-Su7kIUVPu6w.zh-CN.vtt 1.11 KB
  12. Which Data is Ready for PCA.html 10.67 KB
  13. When Does an Axis Dominate-4hJlaYRHdpA.ar.vtt 597 B
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  13. When Does an Axis Dominate-4hJlaYRHdpA.mp4 1.67 MB
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  13. When Does an Axis Dominate-5Uon6hUTl8Y.ar.vtt 1.22 KB
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  13. When Does an Axis Dominate-5Uon6hUTl8Y.mp4 5.18 MB
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  13. When Does an Axis Dominate.html 10.66 KB
  14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.ar.vtt 745 B
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  14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.mp4 341.6 KB
  14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.pt-BR.vtt 599 B
  14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.zh-CN.vtt 499 B
  14. Measurable vs. Latent Features Quiz-UeSD19oit_w.ar.vtt 820 B
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  14. Measurable vs. Latent Features Quiz-UeSD19oit_w.mp4 2.48 MB
  14. Measurable vs. Latent Features Quiz-UeSD19oit_w.pt-BR.vtt 716 B
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  14. Measurable vs. Latent Features Quiz.html 10.13 KB
  15. From Four Features to Two-MEtIAGKweXU.ar.vtt 2.3 KB
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  15. From Four Features to Two-MEtIAGKweXU.mp4 7.71 MB
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  15. From Four Features to Two-xJtmPbEfpFo.ar.vtt 1.32 KB
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  15. From Four Features to Two-xJtmPbEfpFo.mp4 3.87 MB
  15. From Four Features to Two-xJtmPbEfpFo.pt-BR.vtt 1 KB
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  15. From Four Features to Two.html 10.5 KB
  16. Compression While Preserving Information-NjuenhkC-44.ar.vtt 3.67 KB
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  16. Compression While Preserving Information-NjuenhkC-44.mp4 12.5 MB
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  16. Compression While Preserving Information-_TJeoCTDykE.ar.vtt 1.18 KB
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  16. Compression While Preserving Information.html 9.98 KB
  17. Composite Features-0ZBp8oWySAc.ar.vtt 784 B
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  17. Composite Features-0ZBp8oWySAc.mp4 2.83 MB
  17. Composite Features-0ZBp8oWySAc.pt-BR.vtt 549 B
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  17. Composite Features-spVqFnSvlIU.ar.vtt 5.42 KB
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  17. Composite Features-spVqFnSvlIU.pt-BR.vtt 4.5 KB
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  17. Composite Features.html 10.13 KB
  18. Maximal Variance-FpQm_dYA9LM.ar.vtt 490 B
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  18. Maximal Variance-FpQm_dYA9LM.mp4 1.5 MB
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  18. Maximal Variance-tfYAGBIR_Ws.ar.vtt 3.33 KB
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  18. Maximal Variance-tfYAGBIR_Ws.mp4 11.53 MB
  18. Maximal Variance-tfYAGBIR_Ws.pt-BR.vtt 2.82 KB
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  18. Maximal Variance.html 9.68 KB
  19. Advantages of Maximal Variance-TbT6a6qaj08.ar.vtt 938 B
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  19. Advantages of Maximal Variance-TbT6a6qaj08.mp4 2.76 MB
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  19. Advantages of Maximal Variance-jQaYAlZ1fp0.ar.vtt 2.73 KB
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  19. Advantages of Maximal Variance-jQaYAlZ1fp0.mp4 6.82 MB
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  19. Advantages of Maximal Variance-jQaYAlZ1fp0.zh-CN.vtt 1.8 KB
  19. Advantages of Maximal Variance.html 10.07 KB
  20. Maximal Variance and Information Loss-DX_f02bUHT0.ar.vtt 570 B
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  20. Maximal Variance and Information Loss-DX_f02bUHT0.mp4 2.01 MB
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  20. Maximal Variance and Information Loss-hfmvk8DzTGA.ar.vtt 3.7 KB
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  20. Maximal Variance and Information Loss-hfmvk8DzTGA.mp4 13.26 MB
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  20. Maximal Variance and Information Loss.html 9.94 KB
  21. Info Loss and Principal Components-LTPV8lxQeZQ.ar.vtt 3.05 KB
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  21. Info Loss and Principal Components-LTPV8lxQeZQ.mp4 10.32 MB
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  21. Info Loss and Principal Components.html 8.42 KB
  22. Neighborhood Composite Feature-WxAWorS2SLg.ar.vtt 1.04 KB
  22. Neighborhood Composite Feature-WxAWorS2SLg.en.vtt 797 B
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  22. Neighborhood Composite Feature.html 10.28 KB
  23. PCA for Feature Transformation-8kUPRUEMCA8.ar.vtt 5.66 KB
  23. PCA for Feature Transformation-8kUPRUEMCA8.en.vtt 4.15 KB
  23. PCA for Feature Transformation-8kUPRUEMCA8.mp4 20.77 MB
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  23. PCA for Feature Transformation.html 8.39 KB
  24. Maximum Number of PCs Quiz-oOUx6NHppdQ.ar.vtt 359 B
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  24. Maximum Number of PCs Quiz.html 9.81 KB
  25. ReviewDefinition of PCA-oFBGXUUuKyI.ar.vtt 4.6 KB
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  25. ReviewDefinition of PCA-oFBGXUUuKyI.mp4 12.62 MB
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  25. ReviewDefinition of PCA.html 8.34 KB
  26. Applying PCA to Real Data.html 8.34 KB
  27. PCA on the Enron Finance Data-6ufIq2nrTwg.ar.vtt 694 B
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  27. PCA on the Enron Finance Data-6ufIq2nrTwg.mp4 2.38 MB
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  27. PCA on the Enron Finance Data.html 10.18 KB
  28. PCA in sklearn-SBYdqlLgbGk.ar.vtt 7.05 KB
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  28. PCA in sklearn-SBYdqlLgbGk.mp4 20.88 MB
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  28. PCA in sklearn.html 8.72 KB
  29. When to Use PCA-hJZHcmJBk1o.ar.vtt 7.44 KB
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  29. When to Use PCA-hJZHcmJBk1o.mp4 17.53 MB
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  29. When to Use PCA.html 8.27 KB
  30. PCA for Facial Recognition-B_JKtLN-i5I.ar.vtt 2.3 KB
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  30. PCA for Facial Recognition-B_JKtLN-i5I.mp4 6.99 MB
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  30. PCA for Facial Recognition-WyoU2otqsd8.ar.vtt 3.15 KB
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  30. PCA for Facial Recognition.html 10.23 KB
  31. Eigenfaces Code-LgLYw-G4sLQ.ar.vtt 8.59 KB
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  Part 04-Module 05-Lesson 01_PCA Mini-Project
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  Part 04-Module 06-Lesson 01_Random Projection and ICA
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  Part 04-Module 07-Lesson 01_Unsupervised Learning Assessment
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  Part 04-Module 08-Lesson 01_Creating Customer Segments
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  Part 05-Module 01-Lesson 01_Neural Networks
  01. Announcement.html 7.64 KB
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  06. 09 Higher Dimensions-eBHunImDmWw.en.vtt 2.95 KB
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  07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt 5.89 KB
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  09. Why Neural Networks-zAkzOZntK6Y.en.vtt 1.38 KB
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  10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt 4.11 KB
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  10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt 420 B
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  21. Formula For Cross 1-qvr_ego_d6w.en.vtt 607 B
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  22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt 4.72 KB
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  23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt 1.62 KB
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  23. Logistic Regression.html 9.18 KB
  24. Gradient Descent-rhVIF-nigrY.en.vtt 3.85 KB
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  24. Gradient Descent-rhVIF-nigrY.pt-BR.vtt 3.98 KB
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  25. Logistic Regression Algorithm.html 7.59 KB
  26. Pre-Lab Gradient Descent.html 9.29 KB
  27. Notebook Gradient Descent.html 7.96 KB
  28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt 4.27 KB
  28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4 3.2 MB
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  Part 05-Module 01-Lesson 02_Cloud Computing
  01. Overview.html 6.47 KB
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  Part 05-Module 01-Lesson 03_Deep Neural Networks
  01. Non-Linear Data-F7ZiE8PQiSc.en.vtt 633 B
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  01. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt 600 B
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  02. Continuous Perceptrons-07-JJ-aGEfM.en.vtt 1.33 KB
  02. Continuous Perceptrons-07-JJ-aGEfM.mp4 1.13 MB
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  03. Non-Linear Models-HWuBKCZsCo8.en.vtt 1.3 KB
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  04. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.02 KB
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  04. Combinando modelos-Boy3zHVrWB4.en.vtt 5.29 KB
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  04. Layers-pg99FkXYK0M.en.vtt 3.4 KB
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  04. Multiclass Classification-uNTtvxwfox0.en.vtt 2.08 KB
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  17. Other Activation Functions-kA-1vUt6cvQ.en.vtt 2.68 KB
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  24. Neural Network Regression-aUJCBqBfEnI.mp4 3.46 MB
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  Part 05-Module 01-Lesson 04_Convolutional Neural Networks
  01. Introducing Alexis-38ExGpdyvJI.en.vtt 694 B
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  03. How Computers Interpret Images-V4f6p6uRhu8.en.vtt 5.52 KB
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  04. MLPs For Image Classification-TIFStebu530.en.vtt 3.82 KB
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  05. Categorical Cross-Entropy-3sDYifgjFck.en.vtt 4.82 KB
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  06. Model Validation in Keras-002jNXSM6CU.en.vtt 5.51 KB
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  07. When do MLPs (not) work well .html 7.92 KB
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  08. Mini project Training an MLP on MNIST.html 10.96 KB
  09. Local Connectivity-z9wiDg0w-Dc.en.vtt 8.95 KB
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  Part 05-Module 01-Lesson 05_Deep Learning for Cancer Detection with Sebastian Thrun
  01. Intro.html 7.75 KB
  01. Introduction-ZCpXvVdIdnY.en.vtt 874 B
  01. Introduction-ZCpXvVdIdnY.mp4 1.55 MB
  01. Introduction-ZCpXvVdIdnY.pt-BR.vtt 857 B
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  02. 02 Skin Cancer V4-70jGZeiTNgk.en.vtt 1.86 KB
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  07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt 526 B
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  09. Training The Neural Network-HwiI-UXUx-M.en.vtt 1.11 KB
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  10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt 853 B
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  13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt 505 B
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  15. More on Sensitivity and Specificity.html 10.86 KB
  16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt 508 B
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  16. Quiz Diagnosing Cancer.html 8.8 KB
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  18. Images-1GdiN5Wc8LA.mp4 395.42 KB
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  21. Comparing our Results with Doctors.html 7.8 KB
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  Part 05-Module 01-Lesson 06_Deep Learning Assessment
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  Part 05-Module 01-Lesson 07_Deep Learning Project
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  Part 06-Module 01-Lesson 01_Introduction to RL
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  Part 06-Module 01-Lesson 02_The RL Framework The Problem
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  Part 06-Module 01-Lesson 03_The RL Framework The Solution
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  Part 06-Module 01-Lesson 04_Dynamic Programming
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  05. An Iterative Method, Part 1.html 7.38 KB
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  Part 06-Module 01-Lesson 05_Monte Carlo Methods
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  Part 06-Module 01-Lesson 06_Temporal-Difference Methods
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  04. Implementation.html 8.08 KB
  05. Mini Project TD (Parts 0 and 1).html 6.78 KB
  06. TD Prediction Action Values-1c029-7_9GA.en.vtt 2.68 KB
  06. TD Prediction Action Values-1c029-7_9GA.mp4 9.73 MB
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  07. TD Control Sarsa(0).html 6.23 KB
  08. Implementation.html 8.62 KB
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  11. Implementation.html 7.1 KB
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  13. TD Control Expected Sarsa-kEKupCyU0P0.en.vtt 1.22 KB
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  13. TD Control Expected Sarsa.html 6.54 KB
  14. Implementation.html 7.73 KB
  15. Mini Project TD (Part 4).html 6.77 KB
  16. Analyzing Performance.html 8.55 KB
  17. Summary.html 10.33 KB
  img
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  Part 06-Module 01-Lesson 07_Solve OpenAI Gym's Taxi-v2 Task
  01. Introduction.html 8.07 KB
  02. Instructions.html 11.06 KB
  03. Mini Project.html 5.39 KB
  img
  new-tab.gif 181.31 KB
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  Part 06-Module 02-Lesson 01_RL in Continuous Spaces
  01. Deep Reinforcement Learning-GPjK124RU5g.en.vtt 6.45 KB
  01. Deep Reinforcement Learning-GPjK124RU5g.mp4 33.2 MB
  01. Deep Reinforcement Learning-GPjK124RU5g.pt-BR.vtt 7.33 KB
  01. Deep Reinforcement Learning-GPjK124RU5g.zh-CN.vtt 5.62 KB
  01. Deep Reinforcement Learning.html 6.49 KB
  02. Resources.html 8.23 KB
  03. Discrete vs. Continuous Spaces-uHstLeRzaE8.en.vtt 6.54 KB
  03. Discrete vs. Continuous Spaces-uHstLeRzaE8.mp4 21.37 MB
  03. Discrete vs. Continuous Spaces-uHstLeRzaE8.pt-BR.vtt 7.57 KB
  03. Discrete vs. Continuous Spaces-uHstLeRzaE8.zh-CN.vtt 5.73 KB
  03. Discrete vs. Continuous Spaces.html 6.11 KB
  04. Quiz Space Representations.html 7.3 KB
  05. Discretization-j2eZyUpy--E.en.vtt 4.58 KB
  05. Discretization-j2eZyUpy--E.mp4 12.55 MB
  05. Discretization-j2eZyUpy--E.pt-BR.vtt 5.13 KB
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  05. Discretization.html 6 KB
  06. Exercise Discretization.html 6.33 KB
  07. Tile Coding-BRs7AnTZ_8k.en.vtt 3.76 KB
  07. Tile Coding-BRs7AnTZ_8k.mp4 11.03 MB
  07. Tile Coding-BRs7AnTZ_8k.pt-BR.vtt 4.2 KB
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  07. Tile Coding.html 5.98 KB
  08. Exercise Tile Coding.html 6.31 KB
  09. Coarse Coding-Uu1J5KLAfTU.en.vtt 3.07 KB
  09. Coarse Coding-Uu1J5KLAfTU.mp4 10.3 MB
  09. Coarse Coding-Uu1J5KLAfTU.pt-BR.vtt 3.41 KB
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  09. Coarse Coding.html 5.99 KB
  10. Function Approximation-UTGWVY6jEdg.en.vtt 4.11 KB
  10. Function Approximation-UTGWVY6jEdg.mp4 20.08 MB
  10. Function Approximation-UTGWVY6jEdg.pt-BR.vtt 4.59 KB
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  10. Function Approximation.html 7.33 KB
  11. Linear Function Approximation-OJ5wrB7o-pI.en.vtt 6.91 KB
  11. Linear Function Approximation-OJ5wrB7o-pI.mp4 28.67 MB
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  11. Linear Function Approximation.html 6.1 KB
  12. Kernel Functions-RdkPVYyVOvU.en.vtt 2.94 KB
  12. Kernel Functions-RdkPVYyVOvU.mp4 8.91 MB
  12. Kernel Functions-RdkPVYyVOvU.pt-BR.vtt 3.16 KB
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  12. Kernel Functions.html 6.01 KB
  13. Non-Linear Function Approximation-rITnmpD2mN8.en.vtt 1.56 KB
  13. Non-Linear Function Approximation-rITnmpD2mN8.mp4 4.95 MB
  13. Non-Linear Function Approximation-rITnmpD2mN8.pt-BR.vtt 1.8 KB
  13. Non-Linear Function Approximation-rITnmpD2mN8.zh-CN.vtt 1.3 KB
  13. Non-Linear Function Approximation.html 6.13 KB
  14. Summary-MTEBk43oByU.en.vtt 1.61 KB
  14. Summary-MTEBk43oByU.mp4 9.91 MB
  14. Summary-MTEBk43oByU.pt-BR.vtt 1.87 KB
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  14. Summary.html 5.95 KB
  img
  poker-hand-3-of-a-kind.png 128.64 KB
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  Part 06-Module 02-Lesson 02_Deep Q-Learning
  01. Intro to Deep Q-Learning-o3cmuUDhP3I.en.vtt 1.44 KB
  01. Intro to Deep Q-Learning-o3cmuUDhP3I.mp4 9.08 MB
  01. Intro to Deep Q-Learning-o3cmuUDhP3I.pt-BR.vtt 1.67 KB
  01. Intro to Deep Q-Learning-o3cmuUDhP3I.zh-CN.vtt 1.27 KB
  01. Intro to Deep Q-Learning.html 5.95 KB
  02. Neural Nets as Value Functions-cBi7vLrk8QQ.en.vtt 3.73 KB
  02. Neural Nets as Value Functions-cBi7vLrk8QQ.mp4 12.65 MB
  02. Neural Nets as Value Functions-cBi7vLrk8QQ.pt-BR.vtt 3.93 KB
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  02. Neural Nets as Value Functions.html 5.99 KB
  03. Monte Carlo Learning-qOviWYwcvsg.en.vtt 2.84 KB
  03. Monte Carlo Learning-qOviWYwcvsg.mp4 10.41 MB
  03. Monte Carlo Learning-qOviWYwcvsg.pt-BR.vtt 3.13 KB
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  03. Monte Carlo Learning.html 6.19 KB
  04. Temporal Difference Learning-lpmDi0QeUm8.en.vtt 4.12 KB
  04. Temporal Difference Learning-lpmDi0QeUm8.mp4 16.98 MB
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  05. Q-Learning-AI5gLgYMSq8.en.vtt 5.27 KB
  05. Q-Learning-AI5gLgYMSq8.mp4 17.31 MB
  05. Q-Learning-AI5gLgYMSq8.pt-BR.vtt 5.81 KB
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  05. Q-Learning.html 6.15 KB
  06. Deep Q Network-GgtR_d1OB-M.en.vtt 5.85 KB
  06. Deep Q Network-GgtR_d1OB-M.mp4 25.67 MB
  06. Deep Q Network-GgtR_d1OB-M.pt-BR.vtt 6.34 KB
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  07. Experience Replay-wX_-SZG-YMQ.en.vtt 9.51 KB
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  07. Experience Replay-wX_-SZG-YMQ.pt-BR.vtt 11.32 KB
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  08. Fixed Q Targets-SWpyiEezfp4.en.vtt 5.42 KB
  08. Fixed Q Targets-SWpyiEezfp4.mp4 20.97 MB
  08. Fixed Q Targets-SWpyiEezfp4.pt-BR.vtt 5.93 KB
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  09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.en.vtt 4.48 KB
  09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.mp4 17.45 MB
  09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.pt-BR.vtt 5.35 KB
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  09. Deep Q-Learning Algorithm.html 6.49 KB
  10. DQN Improvements-Zfdbp93A2GU.en.vtt 12.13 KB
  10. DQN Improvements-Zfdbp93A2GU.mp4 39.4 MB
  10. DQN Improvements-Zfdbp93A2GU.pt-BR.vtt 14.18 KB
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  10. DQN Improvements.html 6.83 KB
  11. Implementing Deep Q-Learning.html 6.94 KB
  12. TensorFlow Implementation.html 6.34 KB
  13. Wrap Up-x6JggcDTcys.en.vtt 1.22 KB
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  13. Wrap Up-x6JggcDTcys.pt-BR.vtt 1.49 KB
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  13. Wrap Up.html 5.84 KB
  img
  atari-network.png 309.97 KB
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  Part 06-Module 02-Lesson 03_Policy-Based Methods
  01. M2L3 01 V1-YOSREyp04HA.en.vtt 856 B
  01. M2L3 01 V1-YOSREyp04HA.mp4 4.98 MB
  01. M2L3 01 V1-YOSREyp04HA.zh-CN.vtt 787 B
  01. Policy-Based Methods.html 5.29 KB
  02. M2L3 02 V2-ToS8vXGdODE.en.vtt 9.07 KB
  02. M2L3 02 V2-ToS8vXGdODE.mp4 32.51 MB
  02. M2L3 02 V2-ToS8vXGdODE.zh-CN.vtt 8.11 KB
  02. Why Policy-Based Methods.html 5.3 KB
  03. M2L3 03 V2-TePX-0Bs23E.en.vtt 5.99 KB
  03. M2L3 03 V2-TePX-0Bs23E.mp4 18.85 MB
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  03. Policy Function Approximation.html 5.3 KB
  04. M2L3 04 V1-QicxmyE5vTo.en.vtt 5.35 KB
  04. M2L3 04 V1-QicxmyE5vTo.mp4 21.03 MB
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  04. Stochastic Policy Search.html 5.29 KB
  05. M2L3 05 V1-eZxxNNIZuwA.en.vtt 7.33 KB
  05. M2L3 05 V1-eZxxNNIZuwA.mp4 16.64 MB
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  05. Policy Gradients.html 5.28 KB
  06. M2L3 06 V1-RMjdQkl6CqE.en.vtt 910 B
  06. M2L3 06 V1-RMjdQkl6CqE.mp4 3.01 MB
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  06. Monte Carlo Policy Gradients.html 5.3 KB
  07. Constrained Policy Gradients.html 5.3 KB
  07. M2L3 07 V2-ZBLLGIN1EfU.en.vtt 9.11 KB
  07. M2L3 07 V2-ZBLLGIN1EfU.mp4 43.55 MB
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  08. Recap.html 5.26 KB
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  Part 06-Module 02-Lesson 04_Actor-Critic Methods
  01. Actor-Critic Methods.html 5.44 KB
  01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.en.vtt 1.54 KB
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  01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.zh-CN.vtt 1.36 KB
  02. A Better Score Function.html 5.41 KB
  02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.en.vtt 2.64 KB
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  03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.en.vtt 1.68 KB
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  03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.pt-BR.vtt 1.93 KB
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  03. Two Function Approximators.html 5.43 KB
  04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.en.vtt 2.72 KB
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  04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.pt-BR.vtt 3.03 KB
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  04. The Actor and The Critic.html 5.42 KB
  05. Advantage Function.html 5.42 KB
  05. RL M2L4 05 Advantage Function RENDER V1 V2-vpLmzKqcgfc.en.vtt 3.9 KB
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  06. Actor-Critic with Advantage.html 5.49 KB
  06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.en.vtt 1 KB
  06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.mp4 3.09 MB
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  06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.zh-CN.vtt 891 B
  07. Summary-hvYQ_3LgCYs.en.vtt 2.34 KB
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  07. Summary.html 5.23 KB
  index.html 3.97 KB
  Part 06-Module 02-Lesson 05_Teach a Quadcopter How to Fly
  01. Project Intro.html 9.73 KB
  02. Quadcopter workspace.html 6.05 KB
  03. Replay Buffer.html 6.54 KB
  04. DDPG Actor.html 9.78 KB
  05. DDPG Critic.html 9.15 KB
  06. DDPG Agent.html 10.55 KB
  07. Ornstein–Uhlenbeck Noise.html 7.3 KB
  08. Troubleshooting.html 8.78 KB
  Project Description - Teach a Quadcopter How to Fly.html 6.24 KB
  Project Rubric - Teach a Quadcopter How to Fly.html 8.15 KB
  img
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  Part 06-Module 03-Lesson 01_Reinforcement Learning Assessment
  01. Assessment.html 8.4 KB
  index.html 3.5 KB
  Part 07-Module 01-Lesson 01_Writing up a Capstone Proposal
  01. Overview.html 7.04 KB
  02. Description.html 6.65 KB
  03. Software and Data Requirements.html 7.47 KB
  04. Proposal Guidelines.html 6.62 KB
  05. Submitting the Project.html 6.35 KB
  Project Description - Capstone Proposal.html 9.03 KB
  Project Rubric - Capstone Proposal.html 8.75 KB
  index.html 4.01 KB
  Part 07-Module 02-Lesson 01_Machine Learning Capstone Project
  01. Overview.html 6.77 KB
  02. Description.html 7.81 KB
  03. Software and Data Requirements.html 7.68 KB
  04. Report Guidelines.html 6.71 KB
  05. Example Reports.html 7.62 KB
  06. Submitting the Project.html 7.32 KB
  Project Description - Capstone Project.html 10.41 KB
  Project Rubric - Capstone Project.html 12.54 KB
  index.html 4.08 KB
  Part 08-Module 01-Lesson 01_Conduct a Job Search
  01. Introduction-axcFtHK6If4.en.vtt 2.32 KB
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  01. Introduction.html 5.22 KB
  02. Job Search Mindset-cBk7bno3KS0.en.vtt 2.44 KB
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  02. Job Search Mindset-cBk7bno3KS0.mp4 12.08 MB
  02. Job Search Mindset-cBk7bno3KS0.pt-BR.vtt 2.48 KB
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  02. Job Search Mindset.html 5.26 KB
  03. Target Your Application to An Employer-X9JBzbrkcvs.en.vtt 5.07 KB
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  03. Target Your Application to An Employer-X9JBzbrkcvs.mp4 22.24 MB
  03. Target Your Application to An Employer-X9JBzbrkcvs.pt-BR.vtt 5.17 KB
  03. Target Your Application to An Employer-X9JBzbrkcvs.zh-CN.vtt 4.67 KB
  03. Target Your Application to An Employer.html 5.42 KB
  04. Open Yourself Up to Opportunity-1OamTNkk1xM.en.vtt 663 B
  04. Open Yourself Up to Opportunity-1OamTNkk1xM.es-MX.vtt 707 B
  04. Open Yourself Up to Opportunity-1OamTNkk1xM.mp4 1.14 MB
  04. Open Yourself Up to Opportunity-1OamTNkk1xM.pt-BR.vtt 760 B
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  04. Open Yourself Up to Opportunity.html 5.37 KB
  05. Resources in Your Career Portal.html 6.32 KB
  img
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  screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
  index.html 3.86 KB
  Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume
  01. Convey Your Skills Concisely-xnQr3ohml9s.en.vtt 2.36 KB
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  01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 11.53 MB
  01. Convey Your Skills Concisely-xnQr3ohml9s.pt-BR.vtt 2.17 KB
  01. Convey Your Skills Concisely-xnQr3ohml9s.zh-CN.vtt 2.08 KB
  01. Convey Your Skills Concisely.html 5.99 KB
  02. Effective Resume Components-AiFcaHRGdEA.en.vtt 2.53 KB
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  02. Effective Resume Components-AiFcaHRGdEA.mp4 13.24 MB
  02. Effective Resume Components-AiFcaHRGdEA.pt-BR.vtt 2.58 KB
  02. Effective Resume Components-AiFcaHRGdEA.zh-CN.vtt 2.34 KB
  02. Effective Resume Components.html 5.98 KB
  03. Resume Structure-POM0MqLTj98.en.vtt 3.46 KB
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  03. Resume Structure-POM0MqLTj98.mp4 12.18 MB
  03. Resume Structure-POM0MqLTj98.pt-BR.vtt 3.7 KB
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  03. Resume Structure.html 5.89 KB
  04. Describe Your Work Experiences-B1LED4txinI.en.vtt 1.75 KB
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  04. Describe Your Work Experiences-B1LED4txinI.mp4 9.49 MB
  04. Describe Your Work Experiences-B1LED4txinI.pt-BR.vtt 1.86 KB
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  04. Describe Your Work Experiences.html 6.23 KB
  05. Resume Reflection-8Cj_tCp8mls.en.vtt 2.31 KB
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  05. Resume Reflection-8Cj_tCp8mls.mp4 12.64 MB
  05. Resume Reflection-8Cj_tCp8mls.pt-BR.vtt 1.98 KB
  05. Resume Reflection-8Cj_tCp8mls.zh-CN.vtt 2.1 KB
  05. Resume Reflection.html 5.9 KB
  06. Resume Review-L3F2BFGYMtI.en.vtt 2.75 KB
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  06. Resume Review-L3F2BFGYMtI.zh-CN.vtt 2.4 KB
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  Project Description - Resume Review Project (Entry-level).html 6.66 KB
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  Part 08-Module 02-Lesson 02_Refine Your Career Change Resume
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  02. Effective Resume Components-AiFcaHRGdEA.en.vtt 2.53 KB
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  02. Effective Resume Components-AiFcaHRGdEA.mp4 13.24 MB
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  03. Resume Structure-POM0MqLTj98.en.vtt 3.46 KB
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  03. Resume Structure.html 5.91 KB
  04. Describe Your Work Experiences-B1LED4txinI.en.vtt 1.75 KB
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  05. Resume Reflection-8Cj_tCp8mls.en.vtt 2.31 KB
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  06. Resume Review-L3F2BFGYMtI.en.vtt 2.75 KB
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  06. Resume Review.html 6.41 KB
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  Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume
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  01. Convey Your Skills Concisely.html 6.08 KB
  02. Effective Resume Components-AiFcaHRGdEA.en.vtt 2.53 KB
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  02. Effective Resume Components-AiFcaHRGdEA.mp4 13.24 MB
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  03. Resume Structure-POM0MqLTj98.en.vtt 3.46 KB
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  03. Resume Structure-POM0MqLTj98.mp4 12.18 MB
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  04. Describe Your Work Experiences-B1LED4txinI.en.vtt 1.75 KB
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  05. Resume Reflection-8Cj_tCp8mls.en.vtt 2.31 KB
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  Part 08-Module 03-Lesson 01_Craft Your Cover Letter
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  01. Get an Interview with a Cover Letter!.html 6.32 KB
  02. Purpose of the Cover Letter.html 5.79 KB
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  04. Write the Introduction.html 8.51 KB
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  Part 09-Module 01-Lesson 01_Develop Your Personal Brand
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  02. Elevator Pitch-S-nAHPrkQrQ.ar.vtt 5.13 KB
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  Part 09-Module 01-Lesson 02_LinkedIn Review
  01. Using LinkedIn.html 9.29 KB
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  Project Description - LinkedIn Profile Review Project.html 6.33 KB
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  Part 09-Module 01-Lesson 03_Udacity Professional Profile
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  Project Description - Udacity Professional Profile Review.html 6.75 KB
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  Part 09-Module 02-Lesson 01_GitHub Review
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  02. GitHub profile important items-prvPVTjVkwQ.ar.vtt 3.93 KB
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  03. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt 2.56 KB
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  04. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt 4.59 KB
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  05. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt 490 B
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  06. Quick Fixes #1.html 6.9 KB
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  08. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt 1.5 KB
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  09. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt 2.82 KB
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  10. Commit messages best practices.html 9.33 KB
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  12. Participating in open source projects-OxL-gMTizUA.ar.vtt 768 B
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  15. Starring interesting repositories-U3FUxkm1MxI.ar.vtt 542 B
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  Part 10-Module 01-Lesson 01_Ace Your Interview
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  Part 10-Module 01-Lesson 02_Practice Behavioral Questions
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  Part 10-Module 01-Lesson 04_Land a Job Offer
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  Part 10-Module 01-Lesson 05_Interview Practice
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  Part 10-Module 02-Lesson 01_Introduction and Efficiency
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  Part 10-Module 02-Lesson 02_List-Based Collections
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  Part 10-Module 02-Lesson 03_Searching and Sorting
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  04. Recursion-_aI2Jch6Epk.en-US.vtt 9.51 KB
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  06. Intro to Sorting-Z6yuIen71zM.en-US.vtt 3.03 KB
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  Part 10-Module 02-Lesson 04_Maps and Hashing
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  02. Sets and Maps-gmIb-qZhTDQ.en-US.vtt 2.22 KB
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  03. Python Dictionaries.html 8.96 KB
  04. Introduction to Hashing-8yik3RlDFgM.en-US.vtt 1.99 KB
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  06. Collisions-BUaWIjZ_ToY.en-US.vtt 4.22 KB
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  08. Hash Maps-A-ahUVi8pYQ.en-US.vtt 1.58 KB
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  09. String Keys-WyFwieF1NN4.en-US.vtt 3.17 KB
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  img
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  Part 10-Module 02-Lesson 05_Trees
  01. Trees-PXie7f22v2Q.en-US.vtt 900 B
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  02. Tree Basics-oaxLPzaXRDc.en-US.vtt 1.99 KB
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  03. Tree Terminology-mPUsDUR_sj8.en-US.vtt 2.52 KB
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  04. Tree Practice.html 7.58 KB
  05. Tree Traversal-KZOdmzypynw.en-US.vtt 2.58 KB
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  06. Depth-First Traversals-wp5ohHFTieM.en-US.vtt 4.17 KB
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  07. Tree Traversal Practice.html 6.86 KB
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  10. Binary Search Trees-7-ZQrugO-Yc.en-US.vtt 1.03 KB
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  15. Heaps-M3B0UJWS_ag.en-US.vtt 3.25 KB
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  18. Self-Balancing Trees-EHI548K3jiw.en-US.vtt 2.46 KB
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  19. Red-Black Trees - Insertion-dIuWLtWnkgs.en-US.vtt 2.86 KB
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  20. Tree Rotations-O5Yl-m0YbVA.en-US.vtt 2.37 KB
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  img
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  Part 10-Module 02-Lesson 06_Graphs
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  03. Directions and Cycles-lF0vUktQDPo.en-US.vtt 2.68 KB
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  04. Connectivity-4x6u2KtNDg4.en-US.vtt 1.91 KB
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  05. Graph Practice.html 8.33 KB
  06. Graph Representations-uw9u6dtl0WA.en-US.vtt 2.55 KB
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  10. DFS-BC8jEidd2EQ.en-US.vtt 3.29 KB
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  13. Eulerian Path-zS34kHSo7fs.en-US.vtt 3.38 KB
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  media
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  Part 10-Module 02-Lesson 07_Case Studies in Algorithms
  01. Case Study Introduction-r8uEDyBylHY.en-US.vtt 1007 B
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  01. Case Study Introduction-r8uEDyBylHY.mp4 6.04 MB
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  02. Shortest Path Problem-huKUM97Vve8.en-US.vtt 1.52 KB
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  02. Shortest Path Problem-huKUM97Vve8.pt-BR.vtt 1.36 KB
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  03. Dijkstra's Algorithm-SoPMK03cOgk.en-US.vtt 3.51 KB
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  04. Knapsack Problem--xRKazHGtjU.en-US.vtt 2.75 KB
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  05. A Faster Algorithm-J7S3CHFBZJA.en-US.vtt 3.62 KB
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  06. Dynamic Programming-VQeFcG9pjJU.en-US.vtt 3.52 KB
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  07. Traveling Salesman Problem-9ruR5Ux63QU.en-US.vtt 960 B
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  07. Traveling Salesman Problem-9ruR5Ux63QU.mp4 6.79 MB
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  08. Exact and Approximate Algorithms-3A8YqOYlAwQ.en-US.vtt 3.89 KB
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  Part 10-Module 02-Lesson 08_Technical Interview - Python
  01. Interview Introduction-dRsHYt1Lddc.en-US.vtt 2.5 KB
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  02. Clarifying the Question-XvvKBmKC_84.en-US.vtt 2.52 KB
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  04. Test Cases-7CNatJ7PqZ4.en-US.vtt 1.52 KB
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  05. Brainstorming-LJFYhMDCCsU.en-US.vtt 5 KB
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  07. Coding-zhQYREUI8Z0.en-US.vtt 9.48 KB
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  09. Debugging-Bz1tlvkql9Q.en-US.vtt 4.01 KB
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  11. Time for Live Practice with Pramp.html 7.79 KB
  12. Next Steps.html 8.83 KB
  13. Resources in Your Career Portal.html 7.41 KB
  14. Project Description.html 9.4 KB
  Project Description - Technical Interview Practice.html 8.03 KB
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  img
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  Part 11-Module 01-Lesson 01_Software and Tools
  01. TensorFlow.html 6.03 KB
  index.html 3.47 KB
  Part 11-Module 01-Lesson 02_Deep Learning
  01. Deep Learning.html 5.54 KB
  02. What You'll Watch and Learn.html 5.16 KB
  03. Deep Learning What You'll Do.html 5.63 KB
  index.html 3.67 KB
  Part 11-Module 02-Lesson 01_Intro to TensorFlow
  01. What Is Deep Learning-INt1nULYPak.en.vtt 1.58 KB
  01. What Is Deep Learning-INt1nULYPak.mp4 5.78 MB
  01. What Is Deep Learning-INt1nULYPak.pt-BR.vtt 1.36 KB
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  01. What is Deep Learning .html 7.45 KB
  02. Solving Problems - Big And Small-WHcRQMGSbqg.en.vtt 2.47 KB
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  02. Solving Problems - Big and Small .html 7.53 KB
  03. Let'S Get Started-ySIDqaXLhHw.en.vtt 1.26 KB
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  03. Let's Get Started .html 7.45 KB
  04. Installing TensorFlow.html 9.9 KB
  05. Hello, Tensor World!.html 10.02 KB
  06. Transition to Classification.html 8.69 KB
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  08. Training Your Logistic Classifier .html 7.54 KB
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  09. Quiz TensorFlow Linear Function.html 22.98 KB
  10. Quiz TensorFlow Softmax.html 10.27 KB
  11. ReLU and Softmax Activation Functions.html 16.47 KB
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  13. Quiz TensorFlow Cross Entropy.html 10.64 KB
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  17. Numerical Stability-_SbGcOS-jcQ.en-US.vtt 764 B
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  18. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.en.vtt 4.26 KB
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  20. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.en-US.vtt 845 B
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  Part 11-Module 03-Lesson 01_Intro to Neural Networks
  01. Introducing Luis-nto-stLuN6M.en-US.vtt 608 B
  01. Introducing Luis-nto-stLuN6M.mp4 3.63 MB
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  01. Introducing Luis.html 6.37 KB
  02. Logistic Regression - Question-kSs6O3R7JUI.en-US.vtt 2.29 KB
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  02. Logistic Regression Quiz.html 7.37 KB
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  04. Neural Networks-Mqogpnp1lrU.en.vtt 10.19 KB
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  04. Neural Networks.html 6.35 KB
  05. Perceptron.html 21.68 KB
  06. AND Perceptron Quiz.html 10.22 KB
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  09. The Simplest Neural Network.html 13.43 KB
  10. Gradient Descent-29PmNG7fuuM.en.vtt 1.6 KB
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  Part 11-Module 04-Lesson 01_Deep Neural Networks
  01. Intro to Deep Neural Networks.html 5.82 KB
  01. Mat HS-9P7UPWFu8w8.en-US.vtt 1.55 KB
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  02. Two-Layer Neural Network.html 6.42 KB
  03. Quiz TensorFlow ReLUs.html 9.41 KB
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  08. Regularization Intro-pECnr-5F3_Q.en-US.vtt 1.45 KB
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  Part 11-Module 05-Lesson 01_Convolutional Neural Networks
  01. Intro To CNNs.html 8.57 KB
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  03. Statistical Invariance-0Hr5YwUUhr0.en.vtt 2.41 KB
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  04. Convolutional Networks-ISHGyvsT0QY.en.vtt 4.38 KB
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  05. Intuition.html 13.83 KB
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  09. Parameters.html 13.83 KB
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  29. Inception Module-SlTm03bEOxA.en.vtt 1.58 KB
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  30. Convolutional Network in TensorFlow.html 18.73 KB
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Description


Udacity - Machine Learning Engineer Nanodegree Download

In this program you will master Supervised, Unsupervised, Reinforcement, and Deep Learning fundamentals. You will also complete a capstone project in your chosen domain.


Why Take This Nanodegree Program?

INDUSTRY SIZE & DEMAND

Machine Learning Market will be worth 8.81 Billion USD by 2022; growing at a CAGR of 44%.

JOB OPPORTUNITIES

Machine Learning Engineer is one of the most in-demand jobs in the industry

RANKED #08 CNBC

Udacity ranked as the most disruptive learning company in the world for 2 years in a row by CNBC

GLOBAL COMMUNITY

Join a global community of over 50,000 ML Engineers who have learned with Udacity

What You Will Learn

Machine Learning Foundations

Explore the core concepts of Machine Learning which involve understanding the nuances in your data.

Supervised Learning

Now that you have a background in model building, you will learn about supervised learning, a common class of methods for model construction.

Unsupervised Learning

In this lesson, we will cover unsupervised learning and how it is suitable for different kinds of problem domains.

Visit For More udacity nanodegree free download

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