Book Content
chapters • 9h56m total length
1. A Machine Learning Refresher
2. Getting Started with Ensemble Learning
3. Voting
4. Stacking
5. Bagging
6. Boosting
7. Random Forests
8. Clustering
9. Classifying Fraudulent Transactions
10. Predicting Bitcoin Prices
11. Evaluating Twitters Sentiment
12. Recommending Movies with Keras
13. Clustering Application: World Happiness














