Domain

Classical Machine Learning

The practical non-deep-learning toolbox: linear models, trees, ensembles, clustering, feature engineering, and validation.

1. Linear & Logistic Regression
2. Decision Trees, Random Forests & Gradient Boosting
3. Clustering & Dimensionality Reduction
4. Feature Engineering
5. Model Selection & Validation