Book Content
chapters • 7h8m total length
1. Classification using K Nearest Neighbors
2. Naive Bayes
3. Decision Trees
4. Random Forests
5. Clustering into K clusters
6. Regression
7. Time Series Analysis
8. Python Reference
9. Statistics
10. Glossary of Algorithms and Methods in Data Science














