ML Notes by Manith

FEATURE ENGINEERING - NUMERICAL TRANSFORMATIONS

Encoding categorical variables.

Supervised Learning I : Regressors, Classifiers and Trees

Training, Validation and Test Datasets

EVALUATION METRICS FOR CLASSIFICATION

Feature Engineering II : Feature Selection Methods

Unsupervised Learning Algorithms I

Supervised Learning II: Advanced Regressors and Classifiers