| 1. Welcome to the course! | |||
| 1. Applications of Machine Learning.mp4 | 7.99 MB | ||
| 1. Applications of Machine Learning.srt | 5.3 KB | ||
| 10. Installing R and R Studio (Mac, Linux & Windows).mp4 | 17.55 MB | ||
| 10. Installing R and R Studio (Mac, Linux & Windows).srt | 9.15 KB | ||
| 11. BONUS Meet your instructors.html | 1.04 KB | ||
| 12. Some Additional Resources.html | 551 B | ||
| 13. FAQBot!.html | 1.76 KB | ||
| 2. BONUS Learning Paths.html | 2.37 KB | ||
| 3. Why Machine Learning is the Future.mp4 | 12.81 MB | ||
| 3. Why Machine Learning is the Future.srt | 9.23 KB | ||
| 4. Important notes, tips & tricks for this course.html | 3.24 KB | ||
| 5. This PDF resource will help you a lot.html | 1.49 KB | ||
| 5.1 Machine_Learning_A_Z_Q_A.pdf.pdf | 2.26 MB | ||
| 6. The whole code folder of the course.html | 1.02 KB | ||
| 6.1 Machine_Learning_A-Z_New.zip.zip | 228.44 MB | ||
| 7. Updates on Udemy Reviews.mp4 | 52.91 MB | ||
| 7. Updates on Udemy Reviews.srt | 4.04 KB | ||
| 8. Installing Python and Anaconda (Mac, Linux & Windows).mp4 | 19.52 MB | ||
| 8. Installing Python and Anaconda (Mac, Linux & Windows).srt | 12.3 KB | ||
| 9. Update Recommended Anaconda Version.html | 1.32 KB | ||
| 10. Evaluating Regression Models Performance | |||
| 1. R-Squared Intuition.mp4 | 8.85 MB | ||
| 1. R-Squared Intuition.srt | 7.17 KB | ||
| 2. Adjusted R-Squared Intuition.mp4 | 19.28 MB | ||
| 2. Adjusted R-Squared Intuition.srt | 14.45 KB | ||
| 3. Evaluating Regression Models Performance - Homework's Final Part.mp4 | 21.9 MB | ||
| 3. Evaluating Regression Models Performance - Homework's Final Part.srt | 12.93 KB | ||
| 4. Interpreting Linear Regression Coefficients.mp4 | 24.21 MB | ||
| 4. Interpreting Linear Regression Coefficients.srt | 13.32 KB | ||
| 5. Conclusion of Part 2 - Regression.html | 2.91 KB | ||
| 11. -------------------- Part 3 Classification -------------------- | |||
| 1. Welcome to Part 3 - Classification.html | 831 B | ||
| 12. Logistic Regression | |||
| 1. Logistic Regression Intuition.mp4 | 29.17 MB | ||
| 1. Logistic Regression Intuition.srt | 23.94 KB | ||
| 10. Logistic Regression in R - Step 2.mp4 | 7.85 MB | ||
| 10. Logistic Regression in R - Step 2.srt | 4.35 KB | ||
| 11. Logistic Regression in R - Step 3.mp4 | 14.59 MB | ||
| 11. Logistic Regression in R - Step 3.srt | 7.42 KB | ||
| 12. Logistic Regression in R - Step 4.mp4 | 6.9 MB | ||
| 12. Logistic Regression in R - Step 4.srt | 3.98 KB | ||
| 13. Logistic Regression in R - Step 5.mp4 | 51.68 MB | ||
| 13. Logistic Regression in R - Step 5.srt | 29.1 KB | ||
| 14. R Classification Template.mp4 | 12.47 MB | ||
| 14. R Classification Template.srt | 6.7 KB | ||
| 15. Logistic Regression.html | 125 B | ||
| 2. How to get the dataset.mp4 | 11.71 MB | ||
| 2. How to get the dataset.srt | 4.76 KB | ||
| 3. Logistic Regression in Python - Step 1.mp4 | 12.93 MB | ||
| 3. Logistic Regression in Python - Step 1.srt | 8.76 KB | ||
| 4. Logistic Regression in Python - Step 2.mp4 | 8.24 MB | ||
| 4. Logistic Regression in Python - Step 2.srt | 4.92 KB | ||
| 5. Logistic Regression in Python - Step 3.mp4 | 5.97 MB | ||
| 5. Logistic Regression in Python - Step 3.srt | 4.1 KB | ||
| 6. Logistic Regression in Python - Step 4.mp4 | 10.38 MB | ||
| 6. Logistic Regression in Python - Step 4.srt | 7.16 KB | ||
| 7. Logistic Regression in Python - Step 5.mp4 | 42.55 MB | ||
| 7. Logistic Regression in Python - Step 5.srt | 29.7 KB | ||
| 8. Python Classification Template.mp4 | 12.06 MB | ||
| 8. Python Classification Template.srt | 6.07 KB | ||
| 9. Logistic Regression in R - Step 1.mp4 | 12.58 MB | ||
| 9. Logistic Regression in R - Step 1.srt | 8.92 KB | ||
| 13. K-Nearest Neighbors (K-NN) | |||
| 1. K-Nearest Neighbor Intuition.mp4 | 9.27 MB | ||
| 1. K-Nearest Neighbor Intuition.srt | 8.04 KB | ||
| 2. How to get the dataset.mp4 | 11.71 MB | ||
| 2. How to get the dataset.srt | 4.76 KB | ||
| 3. K-NN in Python.mp4 | 35.21 MB | ||
| 3. K-NN in Python.srt | 21.23 KB | ||
| 4. K-NN in R.mp4 | 41.38 MB | ||
| 4. K-NN in R.srt | 23.37 KB | ||
| 5. K-Nearest Neighbor.html | 125 B | ||
| 14. Support Vector Machine (SVM) | |||
| 1. SVM Intuition.mp4 | 18.01 MB | ||
| 1. SVM Intuition.srt | 15.72 KB | ||
| 2. How to get the dataset.mp4 | 11.72 MB | ||
| 2. How to get the dataset.srt | 4.76 KB | ||
| 3. SVM in Python.mp4 | 31.17 MB | ||
| 3. SVM in Python.srt | 19.15 KB | ||
| 4. SVM in R.mp4 | 32.26 MB | ||
| 4. SVM in R.srt | 32.27 MB | ||
| 4.1 SVM.zip.zip | 8.27 KB | ||
| 15. Kernel SVM | |||
| 1. Kernel SVM Intuition.mp4 | 5.8 MB | ||
| 1. Kernel SVM Intuition.srt | 4.41 KB | ||
| 2. Mapping to a higher dimension.mp4 | 13.74 MB | ||
| 2. Mapping to a higher dimension.srt | 10.54 KB | ||
| 3. The Kernel Trick.mp4 | 29.29 MB | ||
| 3. The Kernel Trick.srt | 16.52 KB | ||
| 4. Types of Kernel Functions.mp4 | 12.3 MB | ||
| 4. Types of Kernel Functions.srt | 4.94 KB | ||
| 5. How to get the dataset.mp4 | 11.71 MB | ||
| 5. How to get the dataset.srt | 4.76 KB | ||
| 6. Kernel SVM in Python.mp4 | 41.62 MB | ||
| 6. Kernel SVM in Python.srt | 28.24 KB | ||
| 7. Kernel SVM in R.mp4 | 40.45 MB | ||
| 7. Kernel SVM in R.srt | 25.44 KB | ||
| 16. Naive Bayes | |||
| 1. Bayes Theorem.mp4 | 43.91 MB | ||
| 1. Bayes Theorem.srt | 34.45 KB | ||
| 2. Naive Bayes Intuition.mp4 | 27.79 MB | ||
| 2. Naive Bayes Intuition.srt | 23.34 KB | ||
| 3. Naive Bayes Intuition (Challenge Reveal).mp4 | 13.27 MB | ||
| 3. Naive Bayes Intuition (Challenge Reveal).srt | 9.5 KB | ||
| 4. Naive Bayes Intuition (Extras).mp4 | 18.94 MB | ||
| 4. Naive Bayes Intuition (Extras).srt | 15.93 KB | ||
| 5. How to get the dataset.mp4 | 11.71 MB | ||
| 5. How to get the dataset.srt | 4.76 KB | ||
| 6. Naive Bayes in Python.mp4 | 23.39 MB | ||
| 6. Naive Bayes in Python.srt | 13.75 KB | ||
| 7. Naive Bayes in R.mp4 | 37.31 MB | ||
| 7. Naive Bayes in R.srt | 21.9 KB | ||
| 17. Decision Tree Classification | |||
| 1. Decision Tree Classification Intuition.mp4 | 18.8 MB | ||
| 1. Decision Tree Classification Intuition.srt | 12.87 KB | ||
| 2. How to get the dataset.mp4 | 11.71 MB | ||
| 2. How to get the dataset.srt | 4.76 KB | ||
| 3. Decision Tree Classification in Python.mp4 | 29.81 MB | ||
| 3. Decision Tree Classification in Python.srt | 19.43 KB | ||
| 4. Decision Tree Classification in R.mp4 | 51.18 MB | ||
| 4. Decision Tree Classification in R.srt | 29.14 KB | ||
| 18. Random Forest Classification | |||
| 1. Random Forest Classification Intuition.mp4 | 19.43 MB | ||
| 1. Random Forest Classification Intuition.srt | 7.05 KB | ||
| 2. How to get the dataset.mp4 | 11.71 MB | ||
| 2. How to get the dataset.srt | 4.76 KB | ||
| 3. Random Forest Classification in Python.mp4 | 47.16 MB | ||
| 3. Random Forest Classification in Python.srt | 30.73 KB | ||
| 4. Random Forest Classification in R.mp4 | 49.4 MB | ||
| 4. Random Forest Classification in R.srt | 32.4 KB | ||
| 19. Evaluating Classification Models Performance | |||
| 1. False Positives & False Negatives.mp4 | 13.66 MB | ||
| 1. False Positives & False Negatives.srt | 11.29 KB | ||
| 2. Confusion Matrix.mp4 | 8.21 MB | ||
| 2. Confusion Matrix.srt | 7.51 KB | ||
| 3. Accuracy Paradox.mp4 | 3.8 MB | ||
| 3. Accuracy Paradox.srt | 3.24 KB | ||
| 4. CAP Curve.mp4 | 18.69 MB | ||
| 4. CAP Curve.srt | 16.18 KB | ||
| 5. CAP Curve Analysis.mp4 | 11.51 MB | ||
| 5. CAP Curve Analysis.srt | 9.24 KB | ||
| 6. Conclusion of Part 3 - Classification.html | 3.47 KB | ||
| 2. -------------------- Part 1 Data Preprocessing -------------------- | |||
| 1. Welcome to Part 1 - Data Preprocessing.mp4 | 2.98 MB | ||
| 1. Welcome to Part 1 - Data Preprocessing.srt | 2.52 KB | ||
| 10. Feature Scaling.mp4 | 34.62 MB | ||
| 10. Feature Scaling.srt | 23.47 KB | ||
| 11. And here is our Data Preprocessing Template!.mp4 | 19.67 MB | ||
| 11. And here is our Data Preprocessing Template!.srt | 14.15 KB | ||
| 12. Data Preprocessing.html | 125 B | ||
| 2. Get the dataset.mp4 | 21.15 MB | ||
| 2. Get the dataset.srt | 10.69 KB | ||
| 3. Importing the Libraries.mp4 | 11.08 MB | ||
| 3. Importing the Libraries.srt | 8.06 KB | ||
| 4. Importing the Dataset.mp4 | 23.31 MB | ||
| 4. Importing the Dataset.srt | 18.66 KB | ||
| 5. For Python learners.html | 1.58 KB | ||
| 6. Missing Data.mp4 | 32.16 MB | ||
| 6. Missing Data.srt | 22.67 KB | ||
| 7. Categorical Data.mp4 | 40.79 MB | ||
| 7. Categorical Data.srt | 27.01 KB | ||
| 8. WARNING - Update.html | 2.86 KB | ||
| 9. Splitting the Dataset into the Training set and Test set.mp4 | 39.04 MB | ||
| 9. Splitting the Dataset into the Training set and Test set.srt | 26.91 KB | ||
| 20. -------------------- Part 4 Clustering -------------------- | |||
| 1. Welcome to Part 4 - Clustering.html | 734 B | ||
| 21. K-Means Clustering | |||
| 1. K-Means Clustering Intuition.mp4 | 26.87 MB | ||
| 1. K-Means Clustering Intuition.srt | 23.34 KB | ||
| 2. K-Means Random Initialization Trap.mp4 | 15.36 MB | ||
| 2. K-Means Random Initialization Trap.srt | 12.95 KB | ||
| 3. K-Means Selecting The Number Of Clusters.mp4 | 23.14 MB | ||
| 3. K-Means Selecting The Number Of Clusters.srt | 18.46 KB | ||
| 4. How to get the dataset.mp4 | 11.71 MB | ||
| 4. How to get the dataset.srt | 4.76 KB | ||
| 5. K-Means Clustering in Python.mp4 | 39.77 MB | ||
| 5. K-Means Clustering in Python.srt | 28.23 KB | ||
| 6. K-Means Clustering in R.mp4 | 28.99 MB | ||
| 6. K-Means Clustering in R.srt | 19.44 KB | ||
| 7. K-Means Clustering.html | 125 B | ||
| 22. Hierarchical Clustering | |||
| 1. Hierarchical Clustering Intuition.mp4 | 16.52 MB | ||
| 1. Hierarchical Clustering Intuition.srt | 14.59 KB | ||
| 10. HC in R - Step 1.mp4 | 7.39 MB | ||
| 10. HC in R - Step 1.srt | 6.35 KB | ||
| 11. HC in R - Step 2.mp4 | 11.15 MB | ||
| 11. HC in R - Step 2.srt | 8.14 KB | ||
| 12. HC in R - Step 3.mp4 | 7.81 MB | ||
| 12. HC in R - Step 3.srt | 4.73 KB | ||
| 13. HC in R - Step 4.mp4 | 7.45 MB | ||
| 13. HC in R - Step 4.srt | 3.83 KB | ||
| 14. HC in R - Step 5.mp4 | 6.88 MB | ||
| 14. HC in R - Step 5.srt | 4.03 KB | ||
| 15. Hierarchical Clustering.html | 125 B | ||
| 16. Conclusion of Part 4 - Clustering.html | 516 B | ||
| 16.1 Clustering-Pros-Cons.pdf.pdf | 25.76 KB | ||
| 2. Hierarchical Clustering How Dendrograms Work.mp4 | 17.46 MB | ||
| 2. Hierarchical Clustering How Dendrograms Work.srt | 14.35 KB | ||
| 3. Hierarchical Clustering Using Dendrograms.mp4 | 22.81 MB | ||
| 3. Hierarchical Clustering Using Dendrograms.srt | 17.6 KB | ||
| 4. How to get the dataset.mp4 | 11.71 MB | ||
| 4. How to get the dataset.srt | 4.76 KB | ||
| 5. HC in Python - Step 1.mp4 | 10.72 MB | ||
| 5. HC in Python - Step 1.srt | 7.59 KB | ||
| 6. HC in Python - Step 2.mp4 | 12.65 MB | ||
| 6. HC in Python - Step 2.srt | 9.51 KB | ||
| 7. HC in Python - Step 3.mp4 | 12.3 MB | ||
| 7. HC in Python - Step 3.srt | 7.72 KB | ||
| 8. HC in Python - Step 4.mp4 | 12.02 MB | ||
| 8. HC in Python - Step 4.srt | 6.46 KB | ||
| 9. HC in Python - Step 5.mp4 | 8.39 MB | ||
| 9. HC in Python - Step 5.srt | 6.79 KB | ||
| 23. -------------------- Part 5 Association Rule Learning -------------------- | |||
| 1. Welcome to Part 5 - Association Rule Learning.html | 425 B | ||
| 24. Apriori | |||
| 1. Apriori Intuition.mp4 | 35.02 MB | ||
| 1. Apriori Intuition.srt | 25.91 KB | ||
| 2. How to get the dataset.mp4 | 11.71 MB | ||
| 2. How to get the dataset.srt | 4.76 KB | ||
| 3. Apriori in R - Step 1.mp4 | 42.87 MB | ||
| 3. Apriori in R - Step 1.srt | 31.05 KB | ||
| 4. Apriori in R - Step 2.mp4 | 30.5 MB | ||
| 4. Apriori in R - Step 2.srt | 23.02 KB | ||
| 5. Apriori in R - Step 3.mp4 | 43.85 MB | ||
| 5. Apriori in R - Step 3.srt | 31.16 KB | ||
| 6. Apriori in Python - Step 1.mp4 | 37.97 MB | ||
| 6. Apriori in Python - Step 1.srt | 27.96 KB | ||
| 7. Apriori in Python - Step 2.mp4 | 29.53 MB | ||
| 7. Apriori in Python - Step 2.srt | 22.53 KB | ||
| 8. Apriori in Python - Step 3.mp4 | 26.97 MB | ||
| 8. Apriori in Python - Step 3.srt | 19.6 KB | ||
| 25. Eclat | |||
| 1. Eclat Intuition.mp4 | 10.66 MB | ||
| 1. Eclat Intuition.srt | 8.1 KB | ||
| 2. How to get the dataset.mp4 | 11.72 MB | ||
| 2. How to get the dataset.srt | 4.76 KB | ||
| 3. Eclat in R.mp4 | 20.68 MB | ||
| 3. Eclat in R.srt | 15.79 KB | ||
| 3.1 Eclat.zip.zip | 48.54 KB | ||
| 26. -------------------- Part 6 Reinforcement Learning -------------------- | |||
| 1. Welcome to Part 6 - Reinforcement Learning.html | 1.21 KB | ||
| 27. Upper Confidence Bound (UCB) | |||
| 1. The Multi-Armed Bandit Problem.mp4 | 30.2 MB | ||
| 1. The Multi-Armed Bandit Problem.srt | 22.27 KB | ||
| 10. Upper Confidence Bound in R - Step 3.mp4 | 47.2 MB | ||
| 10. Upper Confidence Bound in R - Step 3.srt | 25.32 KB | ||
| 11. Upper Confidence Bound in R - Step 4.mp4 | 7.41 MB | ||
| 11. Upper Confidence Bound in R - Step 4.srt | 4.41 KB | ||
| 2. Upper Confidence Bound (UCB) Intuition.mp4 | 29.32 MB | ||
| 2. Upper Confidence Bound (UCB) Intuition.srt | 21.92 KB | ||
| 3. How to get the dataset.mp4 | 11.71 MB | ||
| 3. How to get the dataset.srt | 4.76 KB | ||
| 4. Upper Confidence Bound in Python - Step 1.mp4 | 31.53 MB | ||
| 4. Upper Confidence Bound in Python - Step 1.srt | 21.86 KB | ||
| 5. Upper Confidence Bound in Python - Step 2.mp4 | 35.45 MB | ||
| 5. Upper Confidence Bound in Python - Step 2.srt | 35.48 MB | ||
| 6. Upper Confidence Bound in Python - Step 3.mp4 | 41.12 MB | ||
| 6. Upper Confidence Bound in Python - Step 3.srt | 26.94 KB | ||
| 7. Upper Confidence Bound in Python - Step 4.mp4 | 9.14 MB | ||
| 7. Upper Confidence Bound in Python - Step 4.srt | 4.99 KB | ||
| 8. Upper Confidence Bound in R - Step 1.mp4 | 28.06 MB | ||
| 8. Upper Confidence Bound in R - Step 1.srt | 20.54 KB | ||
| 9. Upper Confidence Bound in R - Step 2.mp4 | 29.02 MB | ||
| 9. Upper Confidence Bound in R - Step 2.srt | 22.17 KB | ||
| 28. Thompson Sampling | |||
| 1. Thompson Sampling Intuition.mp4 | 37.28 MB | ||
| 1. Thompson Sampling Intuition.srt | 27.53 KB | ||
| 2. Algorithm Comparison UCB vs Thompson Sampling.mp4 | 14.09 MB | ||
| 2. Algorithm Comparison UCB vs Thompson Sampling.srt | 11.14 KB | ||
| 3. How to get the dataset.mp4 | 11.71 MB | ||
| 3. How to get the dataset.srt | 4.76 KB | ||
| 4. Thompson Sampling in Python - Step 1.mp4 | 43.13 MB | ||
| 4. Thompson Sampling in Python - Step 1.srt | 28.88 KB | ||
| 5. Thompson Sampling in Python - Step 2.mp4 | 8.41 MB | ||
| 5. Thompson Sampling in Python - Step 2.srt | 5.8 KB | ||
| 6. Thompson Sampling in R - Step 1.mp4 | 40.93 MB | ||
| 6. Thompson Sampling in R - Step 1.srt | 27.86 KB | ||
| 7. Thompson Sampling in R - Step 2.mp4 | 7.46 MB | ||
| 7. Thompson Sampling in R - Step 2.srt | 5.29 KB | ||
| 29. -------------------- Part 7 Natural Language Processing -------------------- | |||
| 1. Welcome to Part 7 - Natural Language Processing.html | 1.69 KB | ||
| 10. Natural Language Processing in Python - Step 7.mp4 | 17.1 MB | ||
| 10. Natural Language Processing in Python - Step 7.srt | 9.8 KB | ||
| 11. Natural Language Processing in Python - Step 8.mp4 | 39.48 MB | ||
| 11. Natural Language Processing in Python - Step 8.srt | 23.79 KB | ||
| 12. Natural Language Processing in Python - Step 9.mp4 | 14.01 MB | ||
| 12. Natural Language Processing in Python - Step 9.srt | 8.25 KB | ||
| 13. Natural Language Processing in Python - Step 10.mp4 | 24.13 MB | ||
| 13. Natural Language Processing in Python - Step 10.srt | 14.38 KB | ||
| 14. Homework Challenge.html | 1.37 KB | ||
| 15. Natural Language Processing in R - Step 1.mp4 | 40.37 MB | ||
| 15. Natural Language Processing in R - Step 1.srt | 24 KB | ||
| 16. Natural Language Processing in R - Step 2.mp4 | 17.47 MB | ||
| 16. Natural Language Processing in R - Step 2.srt | 12.88 KB | ||
| 17. Natural Language Processing in R - Step 3.mp4 | 13.52 MB | ||
| 17. Natural Language Processing in R - Step 3.srt | 10.12 KB | ||
| 18. Natural Language Processing in R - Step 4.mp4 | 6.51 MB | ||
| 18. Natural Language Processing in R - Step 4.srt | 4.66 KB | ||
| 19. Natural Language Processing in R - Step 5.mp4 | 4.58 MB | ||
| 19. Natural Language Processing in R - Step 5.srt | 3.25 KB | ||
| 2. Natural Language Processing Intuition.mp4 | 29.69 MB | ||
| 2. Natural Language Processing Intuition.srt | 7.07 KB | ||
| 20. Natural Language Processing in R - Step 6.mp4 | 12.73 MB | ||
| 20. Natural Language Processing in R - Step 6.srt | 8.35 KB | ||
| 21. Natural Language Processing in R - Step 7.mp4 | 7.52 MB | ||
| 21. Natural Language Processing in R - Step 7.srt | 5.59 KB | ||
| 22. Natural Language Processing in R - Step 8.mp4 | 13.26 MB | ||
| 22. Natural Language Processing in R - Step 8.srt | 8.01 KB | ||
| 23. Natural Language Processing in R - Step 9.mp4 | 28.99 MB | ||
| 23. Natural Language Processing in R - Step 9.srt | 19.6 KB | ||
| 24. Natural Language Processing in R - Step 10.mp4 | 41.19 MB | ||
| 24. Natural Language Processing in R - Step 10.srt | 26.29 KB | ||
| 25. Homework Challenge.html | 1.4 KB | ||
| 3. How to get the dataset.mp4 | 11.71 MB | ||
| 3. How to get the dataset.srt | 4.76 KB | ||
| 4. Natural Language Processing in Python - Step 1.mp4 | 35.2 MB | ||
| 4. Natural Language Processing in Python - Step 1.srt | 18.33 KB | ||
| 5. Natural Language Processing in Python - Step 2.mp4 | 21.96 MB | ||
| 5. Natural Language Processing in Python - Step 2.srt | 15.79 KB | ||
| 6. Natural Language Processing in Python - Step 3.mp4 | 3.39 MB | ||
| 6. Natural Language Processing in Python - Step 3.srt | 2.6 KB | ||
| 7. Natural Language Processing in Python - Step 4.mp4 | 24.01 MB | ||
| 7. Natural Language Processing in Python - Step 4.srt | 17.48 KB | ||
| 8. Natural Language Processing in Python - Step 5.mp4 | 14.9 MB | ||
| 8. Natural Language Processing in Python - Step 5.srt | 10.66 KB | ||
| 9. Natural Language Processing in Python - Step 6.mp4 | 6.5 MB | ||
| 9. Natural Language Processing in Python - Step 6.srt | 4.39 KB | ||
| 3. -------------------- Part 2 Regression -------------------- | |||
| 1. Welcome to Part 2 - Regression.html | 875 B | ||
| 30. -------------------- Part 8 Deep Learning -------------------- | |||
| 1. Welcome to Part 8 - Deep Learning.html | 870 B | ||
| 2. What is Deep Learning.mp4 | 31.31 MB | ||
| 2. What is Deep Learning.srt | 18.13 KB | ||
| 31. Artificial Neural Networks | |||
| 1. Plan of attack.mp4 | 4.75 MB | ||
| 1. Plan of attack.srt | 4 KB | ||
| 10. Business Problem Description.mp4 | 16.37 MB | ||
| 10. Business Problem Description.srt | 7.3 KB | ||
| 11. Installing Keras.html | 1.42 KB | ||
| 12. ANN in Python - Step 1.mp4 | 29.31 MB | ||
| 12. ANN in Python - Step 1.srt | 20.01 KB | ||
| 13. ANN in Python - Step 2.mp4 | 48.1 MB | ||
| 13. ANN in Python - Step 2.srt | 28.95 KB | ||
| 14. ANN in Python - Step 3.mp4 | 8.38 MB | ||
| 14. ANN in Python - Step 3.srt | 5.18 KB | ||
| 15. ANN in Python - Step 4.mp4 | 5.88 MB | ||
| 15. ANN in Python - Step 4.srt | 3.86 KB | ||
| 16. ANN in Python - Step 5.mp4 | 29.58 MB | ||
| 16. ANN in Python - Step 5.srt | 19.49 KB | ||
| 17. ANN in Python - Step 6.mp4 | 7.05 MB | ||
| 17. ANN in Python - Step 6.srt | 4.5 KB | ||
| 18. ANN in Python - Step 7.mp4 | 8.99 MB | ||
| 18. ANN in Python - Step 7.srt | 5.68 KB | ||
| 19. ANN in Python - Step 8.mp4 | 18.17 MB | ||
| 19. ANN in Python - Step 8.srt | 11.07 KB | ||
| 2. The Neuron.mp4 | 29.86 MB | ||
| 2. The Neuron.srt | 25.04 KB | ||
| 20. ANN in Python - Step 9.mp4 | 16.89 MB | ||
| 20. ANN in Python - Step 9.srt | 9.51 KB | ||
| 21. ANN in Python - Step 10.mp4 | 17.09 MB | ||
| 21. ANN in Python - Step 10.srt | 10.35 KB | ||
| 22. ANN in R - Step 1.mp4 | 38.55 MB | ||
| 22. ANN in R - Step 1.srt | 26.79 KB | ||
| 23. ANN in R - Step 2.mp4 | 14.17 MB | ||
| 23. ANN in R - Step 2.srt | 10.12 KB | ||
| 24. ANN in R - Step 3.mp4 | 28.94 MB | ||
| 24. ANN in R - Step 3.srt | 18.88 KB | ||
| 25. ANN in R - Step 4 (Last step).mp4 | 33.45 MB | ||
| 25. ANN in R - Step 4 (Last step).srt | 20.68 KB | ||
| 3. The Activation Function.mp4 | 14.75 MB | ||
| 3. The Activation Function.srt | 12.03 KB | ||
| 4. How do Neural Networks work.mp4 | 23.53 MB | ||
| 4. How do Neural Networks work.srt | 19.11 KB | ||
| 5. How do Neural Networks learn.mp4 | 26.56 MB | ||
| 5. How do Neural Networks learn.srt | 18.95 KB | ||
| 6. Gradient Descent.mp4 | 18.53 MB | ||
| 6. Gradient Descent.srt | 18.55 MB | ||
| 7. Stochastic Gradient Descent.mp4 | 16.83 MB | ||
| 7. Stochastic Gradient Descent.srt | 12.14 KB | ||
| 8. Backpropagation.mp4 | 10.93 MB | ||
| 8. Backpropagation.srt | 7.11 KB | ||
| 9. How to get the dataset.mp4 | 11.72 MB | ||
| 9. How to get the dataset.srt | 4.76 KB | ||
| 32. Convolutional Neural Networks | |||
| 1. Plan of attack.mp4 | 5.91 MB | ||
| 1. Plan of attack.srt | 5.24 KB | ||
| 10. How to get the dataset.mp4 | 11.71 MB | ||
| 10. How to get the dataset.srt | 4.76 KB | ||
| 11. Installing Keras.html | 927 B | ||
| 12. CNN in Python - Step 1.mp4 | 24.92 MB | ||
| 12. CNN in Python - Step 1.srt | 18.37 KB | ||
| 13. CNN in Python - Step 2.mp4 | 5.85 MB | ||
| 13. CNN in Python - Step 2.srt | 4.46 KB | ||
| 14. CNN in Python - Step 3.mp4 | 2.22 MB | ||
| 14. CNN in Python - Step 3.srt | 1.71 KB | ||
| 15. CNN in Python - Step 4.mp4 | 27.18 MB | ||
| 15. CNN in Python - Step 4.srt | 19.28 KB | ||
| 16. CNN in Python - Step 5.mp4 | 9.91 MB | ||
| 16. CNN in Python - Step 5.srt | 7.48 KB | ||
| 17. CNN in Python - Step 6.mp4 | 9.7 MB | ||
| 17. CNN in Python - Step 6.srt | 7.6 KB | ||
| 18. CNN in Python - Step 7.mp4 | 12.94 MB | ||
| 18. CNN in Python - Step 7.srt | 9.12 KB | ||
| 19. CNN in Python - Step 8.mp4 | 6.8 MB | ||
| 19. CNN in Python - Step 8.srt | 4.57 KB | ||
| 2. What are convolutional neural networks.mp4 | 29.51 MB | ||
| 2. What are convolutional neural networks.srt | 22.06 KB | ||
| 20. CNN in Python - Step 9.mp4 | 46.85 MB | ||
| 20. CNN in Python - Step 9.srt | 29.38 KB | ||
| 21. CNN in Python - Step 10.mp4 | 20.6 MB | ||
| 21. CNN in Python - Step 10.srt | 12.97 KB | ||
| 22. CNN in R.html | 2.38 KB | ||
| 3. Step 1 - Convolution Operation.mp4 | 31.02 MB | ||
| 3. Step 1 - Convolution Operation.srt | 23.23 KB | ||
| 4. Step 1(b) - ReLU Layer.mp4 | 14.09 MB | ||
| 4. Step 1(b) - ReLU Layer.srt | 9.2 KB | ||
| 5. Step 2 - Pooling.mp4 | 40.24 MB | ||
| 5. Step 2 - Pooling.srt | 21.04 KB | ||
| 6. Step 3 - Flattening.mp4 | 3.27 MB | ||
| 6. Step 3 - Flattening.srt | 2.54 KB | ||
| 7. Step 4 - Full Connection.mp4 | 42.74 MB | ||
| 7. Step 4 - Full Connection.srt | 28.57 KB | ||
| 8. Summary.mp4 | 7.92 MB | ||
| 8. Summary.srt | 6.02 KB | ||
| 9. Softmax & Cross-Entropy.mp4 | 33.23 MB | ||
| 9. Softmax & Cross-Entropy.srt | 25.27 KB | ||
| 33. -------------------- Part 9 Dimensionality Reduction -------------------- | |||
| 1. Welcome to Part 9 - Dimensionality Reduction.html | 1.26 KB | ||
| 34. Principal Component Analysis (PCA) | |||
| 1. Principal Component Analysis (PCA) Intuition.mp4 | 32.12 MB | ||
| 1. Principal Component Analysis (PCA) Intuition.srt | 5.05 KB | ||
| 2. How to get the dataset.mp4 | 11.71 MB | ||
| 2. How to get the dataset.srt | 4.76 KB | ||
| 3. PCA in Python - Step 1.mp4 | 31.95 MB | ||
| 3. PCA in Python - Step 1.srt | 17.66 KB | ||
| 4. PCA in Python - Step 2.mp4 | 22.08 MB | ||
| 4. PCA in Python - Step 2.srt | 11.81 KB | ||
| 5. PCA in Python - Step 3.mp4 | 25.51 MB | ||
| 5. PCA in Python - Step 3.srt | 14.81 KB | ||
| 6. PCA in R - Step 1.mp4 | 30.65 MB | ||
| 6. PCA in R - Step 1.srt | 18.7 KB | ||
| 7. PCA in R - Step 2.mp4 | 29.03 MB | ||
| 7. PCA in R - Step 2.srt | 16.89 KB | ||
| 8. PCA in R - Step 3.mp4 | 36.74 MB | ||
| 8. PCA in R - Step 3.srt | 19.76 KB | ||
| 35. Linear Discriminant Analysis (LDA) | |||
| 1. Linear Discriminant Analysis (LDA) Intuition.mp4 | 26.99 MB | ||
| 1. Linear Discriminant Analysis (LDA) Intuition.srt | 5.11 KB | ||
| 2. How to get the dataset.mp4 | 11.71 MB | ||
| 2. How to get the dataset.srt | 4.76 KB | ||
| 3. LDA in Python.mp4 | 45.42 MB | ||
| 3. LDA in Python.srt | 26.5 KB | ||
| 4. LDA in R.mp4 | 51.3 MB | ||
| 4. LDA in R.srt | 29.68 KB | ||
| 36. Kernel PCA | |||
| 1. How to get the dataset.mp4 | 11.72 MB | ||
| 1. How to get the dataset.srt | 4.76 KB | ||
| 2. Kernel PCA in Python.mp4 | 33.38 MB | ||
| 2. Kernel PCA in Python.srt | 21.48 KB | ||
| 3. Kernel PCA in R.mp4 | 56.57 MB | ||
| 3. Kernel PCA in R.srt | 30.81 KB | ||
| 37. -------------------- Part 10 Model Selection & Boosting -------------------- | |||
| 1. Welcome to Part 10 - Model Selection & Boosting.html | 899 B | ||
| 38. Model Selection | |||
| 1. How to get the dataset.mp4 | 11.71 MB | ||
| 1. How to get the dataset.srt | 11.72 MB | ||
| 2. k-Fold Cross Validation in Python.mp4 | 32.84 MB | ||
| 2. k-Fold Cross Validation in Python.srt | 20.22 KB | ||
| 3. k-Fold Cross Validation in R.mp4 | 43.63 MB | ||
| 3. k-Fold Cross Validation in R.srt | 27.91 KB | ||
| 4. Grid Search in Python - Step 1.mp4 | 38.22 MB | ||
| 4. Grid Search in Python - Step 1.srt | 22.05 KB | ||
| 5. Grid Search in Python - Step 2.mp4 | 29.51 MB | ||
| 5. Grid Search in Python - Step 2.srt | 15.32 KB | ||
| 6. Grid Search in R.mp4 | 35.55 MB | ||
| 6. Grid Search in R.srt | 20.94 KB | ||
| 39. XGBoost | |||
| 1. How to get the dataset.mp4 | 11.71 MB | ||
| 1. How to get the dataset.srt | 4.76 KB | ||
| 2. XGBoost in Python - Step 1.mp4 | 21.39 MB | ||
| 2. XGBoost in Python - Step 1.srt | 13.66 KB | ||
| 3. XGBoost in Python - Step 2.mp4 | 31.97 MB | ||
| 3. XGBoost in Python - Step 2.srt | 18.89 KB | ||
| 4. XGBoost in R.mp4 | 47.27 MB | ||
| 4. XGBoost in R.srt | 26 KB | ||
| 5. THANK YOU bonus video.mp4 | 52.24 MB | ||
| 5. THANK YOU bonus video.srt | 2.31 KB | ||
| 4. Simple Linear Regression | |||
| 1. How to get the dataset.mp4 | 11.71 MB | ||
| 1. How to get the dataset.srt | 4.76 KB | ||
| 10. Simple Linear Regression in R - Step 2.mp4 | 14.36 MB | ||
| 10. Simple Linear Regression in R - Step 2.srt | 8.89 KB | ||
| 11. Simple Linear Regression in R - Step 3.mp4 | 8.63 MB | ||
| 11. Simple Linear Regression in R - Step 3.srt | 5.52 KB | ||
| 12. Simple Linear Regression in R - Step 4.mp4 | 37.38 MB | ||
| 12. Simple Linear Regression in R - Step 4.srt | 23.94 KB | ||
| 13. Simple Linear Regression.html | 125 B | ||
| 2. Dataset + Business Problem Description.mp4 | 6.63 MB | ||
| 2. Dataset + Business Problem Description.srt | 4.08 KB | ||
| 3. Simple Linear Regression Intuition - Step 1.mp4 | 9.47 MB | ||
| 3. Simple Linear Regression Intuition - Step 1.srt | 8.3 KB | ||
| 4. Simple Linear Regression Intuition - Step 2.mp4 | 5.38 MB | ||
| 4. Simple Linear Regression Intuition - Step 2.srt | 4.34 KB | ||
| 5. Simple Linear Regression in Python - Step 1.mp4 | 21.72 MB | ||
| 5. Simple Linear Regression in Python - Step 1.srt | 15.46 KB | ||
| 6. Simple Linear Regression in Python - Step 2.mp4 | 18.75 MB | ||
| 6. Simple Linear Regression in Python - Step 2.srt | 12.32 KB | ||
| 7. Simple Linear Regression in Python - Step 3.mp4 | 15.61 MB | ||
| 7. Simple Linear Regression in Python - Step 3.srt | 9.84 KB | ||
| 8. Simple Linear Regression in Python - Step 4.mp4 | 30.83 MB | ||
| 8. Simple Linear Regression in Python - Step 4.srt | 22.44 KB | ||
| 9. Simple Linear Regression in R - Step 1.mp4 | 9.53 MB | ||
| 9. Simple Linear Regression in R - Step 1.srt | 9.55 MB | ||
| 40. Bonus Lectures | |||
| 1. YOUR SPECIAL BONUS.html | 4.69 KB | ||
| 5. Multiple Linear Regression | |||
| 1. How to get the dataset.mp4 | 11.71 MB | ||
| 1. How to get the dataset.srt | 4.76 KB | ||
| 10. Multiple Linear Regression in Python - Step 2.mp4 | 7.22 MB | ||
| 10. Multiple Linear Regression in Python - Step 2.srt | 4.07 KB | ||
| 11. Multiple Linear Regression in Python - Step 3.mp4 | 14.29 MB | ||
| 11. Multiple Linear Regression in Python - Step 3.srt | 8.27 KB | ||
| 12. Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4 | 23.82 MB | ||
| 12. Multiple Linear Regression in Python - Backward Elimination - Preparation.srt | 14.93 KB | ||
| 13. Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !.mp4 | 32.59 MB | ||
| 13. Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !.srt | 19.68 KB | ||
| 14. Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 | 27.17 MB | ||
| 14. Multiple Linear Regression in Python - Backward Elimination - Homework Solution.srt | 14.17 KB | ||
| 15. Multiple Linear Regression in Python - Automatic Backward Elimination.html | 2.14 KB | ||
| 16. Multiple Linear Regression in R - Step 1.mp4 | 17.94 MB | ||
| 16. Multiple Linear Regression in R - Step 1.srt | 11.85 KB | ||
| 17. Multiple Linear Regression in R - Step 2.mp4 | 25.93 MB | ||
| 17. Multiple Linear Regression in R - Step 2.srt | 15.43 KB | ||
| 18. Multiple Linear Regression in R - Step 3.mp4 | 10.41 MB | ||
| 18. Multiple Linear Regression in R - Step 3.srt | 7.06 KB | ||
| 19. Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4 | 39.73 MB | ||
| 19. Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.srt | 27.48 KB | ||
| 2. Dataset + Business Problem Description.mp4 | 9.98 MB | ||
| 2. Dataset + Business Problem Description.srt | 5.68 KB | ||
| 20. Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4 | 17.25 MB | ||
| 20. Multiple Linear Regression in R - Backward Elimination - Homework Solution.srt | 11.86 KB | ||
| 21. Multiple Linear Regression in R - Automatic Backward Elimination.html | 726 B | ||
| 22. Multiple Linear Regression.html | 125 B | ||
| 3. Multiple Linear Regression Intuition - Step 1.mp4 | 1.82 MB | ||
| 3. Multiple Linear Regression Intuition - Step 1.srt | 1.58 KB | ||
| 4. Multiple Linear Regression Intuition - Step 2.mp4 | 1.78 MB | ||
| 4. Multiple Linear Regression Intuition - Step 2.srt | 1.45 KB | ||
| 5. Multiple Linear Regression Intuition - Step 3.mp4 | 14.28 MB | ||
| 5. Multiple Linear Regression Intuition - Step 3.srt | 10.7 KB | ||
| 6. Multiple Linear Regression Intuition - Step 4.mp4 | 4.51 MB | ||
| 6. Multiple Linear Regression Intuition - Step 4.srt | 3.51 KB | ||
| 7. Prerequisites What is the P-Value.html | 676 B | ||
| 8. Multiple Linear Regression Intuition - Step 5.mp4 | 28.83 MB | ||
| 8. Multiple Linear Regression Intuition - Step 5.srt | 23.56 KB | ||
| 9. Multiple Linear Regression in Python - Step 1.mp4 | 39.56 MB | ||
| 9. Multiple Linear Regression in Python - Step 1.srt | 24.44 KB | ||
| 6. Polynomial Regression | |||
| 1. Polynomial Regression Intuition.mp4 | 9.44 MB | ||
| 1. Polynomial Regression Intuition.srt | 7.82 KB | ||
| 10. Polynomial Regression in R - Step 3.mp4 | 43.32 MB | ||
| 10. Polynomial Regression in R - Step 3.srt | 30.86 KB | ||
| 11. Polynomial Regression in R - Step 4.mp4 | 22.35 MB | ||
| 11. Polynomial Regression in R - Step 4.srt | 15.44 KB | ||
| 12. R Regression Template.mp4 | 25.41 MB | ||
| 12. R Regression Template.srt | 18.63 KB | ||
| 2. How to get the dataset.mp4 | 11.71 MB | ||
| 2. How to get the dataset.srt | 4.76 KB | ||
| 3. Polynomial Regression in Python - Step 1.mp4 | 24.89 MB | ||
| 3. Polynomial Regression in Python - Step 1.srt | 17.5 KB | ||
| 4. Polynomial Regression in Python - Step 2.mp4 | 27.11 MB | ||
| 4. Polynomial Regression in Python - Step 2.srt | 17.21 KB | ||
| 5. Polynomial Regression in Python - Step 3.mp4 | 42.98 MB | ||
| 5. Polynomial Regression in Python - Step 3.srt | 31.4 KB | ||
| 6. Polynomial Regression in Python - Step 4.mp4 | 13.5 MB | ||
| 6. Polynomial Regression in Python - Step 4.srt | 8.65 KB | ||
| 7. Python Regression Template.mp4 | 27.43 MB | ||
| 7. Python Regression Template.srt | 16.38 KB | ||
| 8. Polynomial Regression in R - Step 1.mp4 | 17.78 MB | ||
| 8. Polynomial Regression in R - Step 1.srt | 14.12 KB | ||
| 9. Polynomial Regression in R - Step 2.mp4 | 23.87 MB | ||
| 9. Polynomial Regression in R - Step 2.srt | 15.27 KB | ||
| 7. Support Vector Regression (SVR) | |||
| 1. How to get the dataset.mp4 | 11.72 MB | ||
| 1. How to get the dataset.srt | 4.76 KB | ||
| 2. SVR Intuition.mp4 | 46.6 MB | ||
| 2. SVR Intuition.srt | 11.36 KB | ||
| 3. SVR in Python.mp4 | 46.18 MB | ||
| 3. SVR in Python.srt | 30.88 KB | ||
| 4. SVR in R.mp4 | 25.87 MB | ||
| 4. SVR in R.srt | 18.7 KB | ||
| 8. Decision Tree Regression | |||
| 1. Decision Tree Regression Intuition.mp4 | 22.69 MB | ||
| 1. Decision Tree Regression Intuition.srt | 17.06 KB | ||
| 2. How to get the dataset.mp4 | 11.72 MB | ||
| 2. How to get the dataset.srt | 4.76 KB | ||
| 3. Decision Tree Regression in Python.mp4 | 33.54 MB | ||
| 3. Decision Tree Regression in Python.srt | 23.72 KB | ||
| 4. Decision Tree Regression in R.mp4 | 44.38 MB | ||
| 4. Decision Tree Regression in R.srt | 32.15 KB | ||
| 9. Random Forest Regression | |||
| 1. Random Forest Regression Intuition.mp4 | 13.82 MB | ||
| 1. Random Forest Regression Intuition.srt | 10.22 KB | ||
| 2. How to get the dataset.mp4 | 11.72 MB | ||
| 2. How to get the dataset.srt | 4.76 KB | ||
| 3. Random Forest Regression in Python.mp4 | 39.48 MB | ||
| 3. Random Forest Regression in Python.srt | 27.53 KB | ||
| 4. Random Forest Regression in R.mp4 | 40.34 MB | ||
| 4. Random Forest Regression in R.srt | 28.11 KB | ||
| [CourseClub.Me].url | 48 B | ||
| [DesireCourse.Net].url | 51 B | ||
| [FreeCourseWorld.Com].url | 54 B | ||
| ▲ 572 total files | |||
Machine Learning A-Z™: Hands-On Python & R In Data Science
Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
For More Courses Visit: https://desirecourse.net
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 3.4 GB | freecoursewb | 4 days | 2 | 22 | |
| 1.2 GB | freecoursewb | 2 weeks | 10 | 10 | |
| 1.9 GB | freecoursewb | 1 month | 5 | 0 | |
| 2.6 GB | freecoursewb | 1 month | 6 | 3 | |
| 2.5 GB | freecoursewb | 1 month | 1 | 9 |
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