| 6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 | 200.58 MB |
| 7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 | 190.99 MB |
| 6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 | 189.7 MB |
| 5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 | 188.51 MB |
| 2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 | 182.27 MB |
| 2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 | 167.41 MB |
| 2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 | 159.62 MB |
| 2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 | 156.35 MB |
| 6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 | 155.8 MB |
| 5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4 | 152.01 MB |
| 6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4 | 150.65 MB |
| 2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 | 147.82 MB |
| 4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4 | 144.92 MB |
| 3. Predictive Models/1. [Activity] Linear Regression.mp4 | 144.36 MB |
| 9. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4 | 141.84 MB |
| 10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 | 141.58 MB |
| 8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).mp4 | 140.62 MB |
| 9. Experimental Design ML in the Real World/6. AB Test Gotchas.mp4 | 139.78 MB |
| 5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.mp4 | 136.49 MB |
| 4. Machine Learning with Python/12. [Activity] Decision Trees Predicting Hiring Decisions.mp4 | 134.38 MB |
| 8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 | 134.01 MB |
| 5. Recommender Systems/6. [Exercise] Improve the recommender's results.mp4 | 128.73 MB |
| 10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 | 128.25 MB |
| 8. Apache Spark Machine Learning on Big Data/5. Spark Introduction.mp4 | 127.54 MB |
| 4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4 | 125.19 MB |
| 4. Machine Learning with Python/11. Decision Trees Concepts.mp4 | 125.19 MB |
| 2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 | 125.15 MB |
| 5. Recommender Systems/1. User-Based Collaborative Filtering.mp4 | 124.65 MB |
| 1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 | 123.11 MB |
| 10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 | 118.23 MB |
| 8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 | 117.87 MB |
| 10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 | 115.27 MB |
| 9. Experimental Design ML in the Real World/4. [Activity] Hands-on With T-Tests.mp4 | 113.84 MB |
| 7. Dealing with Real-World Data/3. Data Cleaning and Normalization.mp4 | 112.36 MB |
| 2. Statistics and Probability Refresher, and Python Practice/1. Types of Data.mp4 | 112.17 MB |
| 8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 | 111.98 MB |
| 5. Recommender Systems/2. Item-Based Collaborative Filtering.mp4 | 108.57 MB |
| 2. Statistics and Probability Refresher, and Python Practice/6. Common Data Distributions.mp4 | 105.82 MB |
| 8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 | 105.68 MB |
| 12. You made it!/1. More to Explore.mp4 | 104.69 MB |
| 10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4 | 104.55 MB |
| 4. Machine Learning with Python/5. K-Means Clustering.mp4 | 104 MB |
| 8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4 | 103 MB |
| 1. Getting Started/4. [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4 | 102.77 MB |
| 4. Machine Learning with Python/14. [Activity] XGBoost.mp4 | 102.09 MB |
| 8. Apache Spark Machine Learning on Big Data/10. TF IDF.mp4 | 100.04 MB |
| 6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis.mp4 | 98.55 MB |
| 11. Final Project/2. Final project review.mp4 | 98.51 MB |
| 3. Predictive Models/2. [Activity] Polynomial Regression.mp4 | 96.61 MB |
| 1. Getting Started/5. [Activity] MAC Installing and Using Anaconda & Course Materials.mp4 | 96.53 MB |