Machine Learning from Scratch
A 12-part walkthrough of the ML II course notes — intuition, math, code.
12 parts. Posts marked Coming soon are still being written.
- Part 01What is Machine Learning?Read →
- Part 02Data Cleaning & PreprocessingRead →
- Part 03Feature EngineeringRead →
- Part 04Classification MetricsRead →
- Part 05Cross-Validation & Probability ModelsRead →
- Part 06Naïve BayesRead →
- Part 07Decision TreesRead →
- Part 08Random Forest & BoostingRead →
- Part 09Support Vector MachinesRead →
- Part 10PCA & Dimensionality ReductionRead →
- Part 11LDA & QDARead →
- Part 12KNN & Recommender SystemsRead →