Book Content
chapters • 14h44m total length
1. Journey from Statistics to Machine Learning
2. Parallelism of Statistics and Machine Learning
3. Logistic Regression vs. Random Forest
4. Tree-Based Machine Learning models
5. K-Nearest Neighbors & Naïve Bayes
6. Support Vector Machines & Neural Networks
7. Recommendation Engines
8. Unsupervised Learning
9. Reinforcement Learning
