Machine Learning with Python

Table of Contents

1. FOREWORD
2. DATASETS USED IN THIS BOOK
3. INTRODUCTION
4. DEVELOPMENT ENVIRONMENT
5. MACHINE LEARNING LIBRARIES
6. EXPLORATORY DATA ANALYSIS
7. DATA SCRUBBING
8. PRE-MODEL ALGORITHMS
9. SPLIT VALIDATION
10. MODEL DESIGN
11. LINEAR REGRESSION
12. LOGISTIC REGRESSION
13. SUPPORT VECTOR MACHINES
14. K-NEAREST NEIGHBORS
15. TREE-BASED METHODS
16. NEXT STEPS
17. APPENDIX 1: INTRODUCTION TO PYTHON
18. APPENDIX 2: PRINT COLUMNS