Welcome to the python files and data repository for the MACHINE LEARNING A-Z Course by Kirill Eremenko and Hadelin de Ponteves.
The python files, datasets and other supplementary materials are as below.
PART 0. WELCOME TO THE COURSE!
PART 1. DATA PREPROCESSING
PART 2. REGRESSION
PART 3. CLASSIFICATION
PART 4. CLUSTERING
PART 5. ASSOCIATION RULE LEARNING
PART 6. REINFORCEMENT LEARNING
PART 7. NATURAL LANGUAGE PROCESSING
PART 8. DEEP LEARNING
PART 9. DIMENSIONALITY REDUCTION
PART 10. MODEL SELECTION