Chapter 01
1. Introduction to Machine Learning
1. Introduction to Machine Learning
- 1.1 Introduction to Machine Learning
- 1.2 ML vs Rule-Based Systems
- 1.3 Supervised Machine Learning
- 1.4 CRISP-DM
- 1.5 The Modelling Step (Model Selection Process)
- 1.6 Setting up the Environment
- 1.7 Introduction to NumPy
- 1.8 Linear Algebra Refresher
- 1.9 Introduction to Pandas
- 1.10 Summary
- 1.11 Homework
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