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Udemy - Machine Learning, Data Science and Deep Learning with Python

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Udemy - Machine Learning, Data Science and Deep Learning with Python (Size: 7.4 GB)
  1. AB Testing Concepts.mp4 97.5 MB
  1. AB Testing Concepts.vtt 18.2 KB
  1. BiasVariance Tradeoff.mp4 66.3 MB
  1. BiasVariance Tradeoff.vtt 13 KB
  1. Deep Learning Pre-Requisites.mp4 67.9 MB
  1. Deep Learning Pre-Requisites.vtt 17.1 KB
  1. Introduction.mp4 59.6 MB
  1. Introduction.vtt 4.2 KB
  1. K-Nearest-Neighbors Concepts.mp4 40.3 MB
  1. K-Nearest-Neighbors Concepts.vtt 8.1 KB
  1. More to Explore.mp4 64.1 MB
  1. More to Explore.vtt 6.6 KB
  1. Supervised vs. Unsupervised Learning, and TrainTest.mp4 98.6 MB
  1. Supervised vs. Unsupervised Learning, and TrainTest.vtt 18.9 KB
  1. Types of Data.mp4 77.3 MB
  1. Types of Data.vtt 14.7 KB
  1. User-Based Collaborative Filtering.mp4 86.4 MB
  1. User-Based Collaborative Filtering.vtt 17.5 KB
  1. Warning about Java 11 and Spark 2.4!.html 614.4 B
  1. Your final project assignment.mp4 58.9 MB
  1. Your final project assignment.vtt 10.1 KB
  1. [Activity] Linear Regression.mp4 100.5 MB
  1. [Activity] Linear Regression.vtt 23.1 KB
  10. Convolutional Neural Networks (CNN's).mp4 93.1 MB
  10. Convolutional Neural Networks (CNN's).vtt 17.6 KB
  10. TF IDF.mp4 68.8 MB
  10. TF IDF.vtt 12.7 KB
  10. [Activity] Decision Trees Predicting Hiring Decisions.mp4 96 MB
  10. [Activity] Decision Trees Predicting Hiring Decisions.vtt 20.3 KB
  10. [Exercise] Conditional Probability.mp4 130.4 MB
  10. [Exercise] Conditional Probability.vtt 23.3 KB
  11. Ensemble Learning.mp4 65.2 MB
  11. Ensemble Learning.vtt 13.1 KB
  11. Exercise Solution Conditional Probability of Purchase by Age.mp4 28.7 MB
  11. Exercise Solution Conditional Probability of Purchase by Age.vtt 4.5 KB
  11. [Activity] Searching Wikipedia with Spark.mp4 111.5 MB
  11. [Activity] Searching Wikipedia with Spark.vtt 14 KB
  11. [Activity] Using CNN's for handwriting recognition.mp4 80.8 MB
  11. [Activity] Using CNN's for handwriting recognition.vtt 16.3 KB
  12. Bayes' Theorem.mp4 58.9 MB
  12. Bayes' Theorem.vtt 10.4 KB
  12. Recurrent Neural Networks (RNN's).mp4 69.2 MB
  12. Recurrent Neural Networks (RNN's).vtt 16.3 KB
  12. Support Vector Machines (SVM) Overview.mp4 44.7 MB
  12. Support Vector Machines (SVM) Overview.vtt 9 KB
  12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 113.8 MB
  12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.vtt 15.8 KB
  13. [Activity] Using SVM to cluster people using scikit-learn.mp4 55 MB
  13. [Activity] Using SVM to cluster people using scikit-learn.vtt 10.8 KB
  13. [Activity] Using a RNN for sentiment analysis.mp4 94.8 MB
  13. [Activity] Using a RNN for sentiment analysis.vtt 20.7 KB
  14. The Ethics of Deep Learning.mp4 128.2 MB
  14. The Ethics of Deep Learning.vtt 17.5 KB
  15. Learning More about Deep Learning.mp4 38.6 MB
  15. Learning More about Deep Learning.vtt 2.8 KB
  2. Don't Forget to Leave a Rating!.html 614.4 B
  2. Final project review.mp4 98.5 MB
  2. Final project review.vtt 22.2 KB
  2. Item-Based Collaborative Filtering.mp4 75 MB
  2. Item-Based Collaborative Filtering.vtt 18.1 KB
  2. Mean, Median, Mode.mp4 56.1 MB
  2. Mean, Median, Mode.vtt 11.7 KB
  2. Spark installation notes for MacOS and Linux users.html 3.5 KB
  2. T-Tests and P-Values.mp4 64.9 MB
  2. T-Tests and P-Values.vtt 12 KB
  2. The History of Artificial Neural Networks.mp4 80 MB
  2. The History of Artificial Neural Networks.vtt 16.8 KB
  2. Udemy 101 Getting the Most From This Course.mp4 19.8 MB
  2. Udemy 101 Getting the Most From This Course.vtt 3.6 KB
  2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4 102.3 MB
  2. [Activity] K-Fold Cross-Validation to avoid overfitting.vtt 22.1 KB
  2. [Activity] Polynomial Regression.mp4 66.8 MB
  2. [Activity] Polynomial Regression.vtt 15.9 KB
  2. [Activity] Using KNN to predict a rating for a movie.mp4 142.1 MB
  2. [Activity] Using KNN to predict a rating for a movie.vtt 25.6 KB
  2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4 58.1 MB
  2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.vtt 11.9 KB
  3. Bayesian Methods Concepts.mp4 40.7 MB
  3. Bayesian Methods Concepts.vtt 8 KB
  3. Bonus Lecture Discounts to continue your journey!.html 7.4 KB
  3. Data Cleaning and Normalization.mp4 78.7 MB
  3. Data Cleaning and Normalization.vtt 15.5 KB
  3. Dimensionality Reduction; Principal Component Analysis.mp4 67.8 MB
  3. Dimensionality Reduction; Principal Component Analysis.vtt 11.2 KB
  3. [Activity] Deep Learning in the Tensorflow Playground.mp4 141.6 MB
  3. [Activity] Deep Learning in the Tensorflow Playground.vtt 17.1 KB
  3. [Activity] Finding Movie Similarities.mp4 107.8 MB
  3. [Activity] Finding Movie Similarities.vtt 18.2 KB
  3. [Activity] Getting What You Need.mp4 28.1 MB
  3. [Activity] Getting What You Need.vtt 4.2 KB
  3. [Activity] Hands-on With T-Tests.mp4 81.6 MB
  3. [Activity] Hands-on With T-Tests.vtt 12.4 KB
  3. [Activity] Installing Spark - Part 1.mp4 87.4 MB
  3. [Activity] Installing Spark - Part 1.vtt 15.1 KB
  3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 123.8 MB
  3. [Activity] Multivariate Regression, and Predicting Car Prices.vtt 22.6 KB
  3. [Activity] Using mean, median, and mode in Python.mp4 92.7 MB
  3. [Activity] Using mean, median, and mode in Python.vtt 16.5 KB
  3.1 Course Facebook Group.html 102.4 B
  3.1 winutils.exe.html 102.4 B
  3.2 Course materials and setup steps.html 102.4 B
  4. Deep Learning Details.mp4 64.2 MB
  4. Deep Learning Details.vtt 14.8 KB
  4. Determining How Long to Run an Experiment.mp4 34.9 MB
  4. Determining How Long to Run an Experiment.vtt 7.6 KB
  4. Multi-Level Models.mp4 47.5 MB
  4. Multi-Level Models.vtt 9.7 KB
  4. [Activity] Cleaning web log data.mp4 129.4 MB
  4. [Activity] Cleaning web log data.vtt 21.5 KB
  4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4 89.1 MB
  4. [Activity] Implementing a Spam Classifier with Naive Bayes.vtt 15.8 KB
  4. [Activity] Improving the Results of Movie Similarities.mp4 94.9 MB
  4. [Activity] Improving the Results of Movie Similarities.vtt 15.2 KB
  4. [Activity] Installing Enthought Canopy.mp4 109 MB
  4. [Activity] Installing Enthought Canopy.vtt 12.4 KB
  4. [Activity] Installing Spark - Part 2.mp4 172.3 MB
  4. [Activity] Installing Spark - Part 2.vtt 25.6 KB
  4. [Activity] PCA Example with the Iris data set.mp4 109.7 MB
  4. [Activity] PCA Example with the Iris data set.vtt 19.1 KB
  4. [Activity] Variation and Standard Deviation.mp4 110.9 MB
  4. [Activity] Variation and Standard Deviation.vtt 23.3 KB
  4.1 Enthought Canopy website.html 102.4 B
  4.1 winutils.exe.html 102.4 B
  5. AB Test Gotchas.mp4 96.1 MB
  5. AB Test Gotchas.vtt 19.8 KB
  5. Data Warehousing Overview ETL and ELT.mp4 103.3 MB
  5. Data Warehousing Overview ETL and ELT.vtt 17.8 KB
  5. Introducing Tensorflow.mp4 96.4 MB
  5. Introducing Tensorflow.vtt 19.7 KB
  5. K-Means Clustering.mp4 72 MB
  5. K-Means Clustering.vtt 15.6 KB
  5. Normalizing numerical data.mp4 38.2 MB
  5. Normalizing numerical data.vtt 7 KB
  5. Probability Density Function; Probability Mass Function.mp4 30.1 MB
  5. Probability Density Function; Probability Mass Function.vtt 6.9 KB
  5. Python Basics, Part 1 [Optional].mp4 133.8 MB
  5. Python Basics, Part 1 [Optional].vtt 32.1 KB
  5. Spark Introduction.mp4 89.9 MB
  5. Spark Introduction.vtt 19.2 KB
  5. [Activity] Making Movie Recommendations to People.mp4 132.6 MB
  5. [Activity] Making Movie Recommendations to People.vtt 20.5 KB
  6. Common Data Distributions.mp4 75.4 MB
  6. Common Data Distributions.vtt 14.6 KB
  6. Reinforcement Learning.mp4 132.3 MB
  6. Reinforcement Learning.vtt 25.7 KB
  6. Spark and the Resilient Distributed Dataset (RDD).mp4 98.5 MB
  6. Spark and the Resilient Distributed Dataset (RDD).vtt 22.2 KB
  6. [Activity] Clustering people based on income and age.mp4 57.3 MB
  6. [Activity] Clustering people based on income and age.vtt 10.5 KB
  6. [Activity] Detecting outliers.mp4 83.6 MB
  6. [Activity] Detecting outliers.vtt 14 KB
  6. [Activity] Python Basics, Part 2 [Optional].mp4 77.2 MB
  6. [Activity] Python Basics, Part 2 [Optional].vtt 18.9 KB
  6. [Activity] Using Tensorflow, Part 1.mp4 102.3 MB
  6. [Activity] Using Tensorflow, Part 1.vtt 19.3 KB
  6. [Exercise] Improve the recommender's results.mp4 84.2 MB
  6. [Exercise] Improve the recommender's results.vtt 12 KB
  6.1 Cat and Mouse Example.html 102.4 B
  6.2 Pac-Man Example.html 102.4 B
  6.3 Python Markov Decision Process Toolbox.html 102.4 B
  7. Introducing MLLib.mp4 54.8 MB
  7. Introducing MLLib.vtt 10.4 KB
  7. Measuring Entropy.mp4 35 MB
  7. Measuring Entropy.vtt 6.3 KB
  7. Running Python Scripts [Optional].mp4 44.7 MB
  7. Running Python Scripts [Optional].vtt 8.2 KB
  7. [Activity] Percentiles and Moments.mp4 114.1 MB
  7. [Activity] Percentiles and Moments.vtt 25.5 KB
  7. [Activity] Using Tensorflow, Part 2.mp4 133.6 MB
  7. [Activity] Using Tensorflow, Part 2.vtt 19.4 KB
  8. Introducing the Pandas Library [Optional].mp4 127.9 MB
  8. Introducing the Pandas Library [Optional].vtt 15.7 KB
  8. [Activity] A Crash Course in matplotlib.mp4 129.4 MB
  8. [Activity] A Crash Course in matplotlib.vtt 25.8 KB
  8. [Activity] Decision Trees in Spark.mp4 193.2 MB
  8. [Activity] Decision Trees in Spark.vtt 29.4 KB
  8. [Activity] Install GraphViz.html 1.5 KB
  8. [Activity] Introducing Keras.mp4 107.5 MB
  8. [Activity] Introducing Keras.vtt 28.6 KB
  9. Decision Trees Concepts.mp4 86.5 MB
  9. Decision Trees Concepts.vtt 19.1 KB
  9. [Activity] Covariance and Correlation.mp4 116.7 MB
  9. [Activity] Covariance and Correlation.vtt 23.4 KB
  9. [Activity] K-Means Clustering in Spark.mp4 133.8 MB
  9. [Activity] K-Means Clustering in Spark.vtt 20.2 KB
  9. [Activity] Using Keras to Predict Political Affiliations.mp4 104.3 MB
  9. [Activity] Using Keras to Predict Political Affiliations.vtt 26.1 KB
  [FreeCourseLab.com].url 102.4 B
  ▲ 188 total files

Description


Udemy - Machine Learning, Data Science and Deep Learning with Python

Complete hands-on machine learning tutorial with data science, Tensorflow, artificial intelligence, and neural networks

Created by Sundog Education by Frank Kane, Frank Kane
Last updated 4/2019

For more Udemy Courses: https://freecourselab.com

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