Introduction
- What is Machine Learning?
- Who is this book for?
Chapter 1
- History
- Machine Learning
- Example problems
- What is supervised learning?
Chapter 2: First Program
- Install Scikit and Numpy
- First Program
Chapter 3: Classification on Real World Data
- Iris Classifier
- Accuracy
Chapter 4: Regression
- Introduction to Regression algorithms
- Example
- Linear Regression
- Polynomial regression
Chapter 5: Clustering
- Clustering
- Demo