Table of Contents
- Introducing Machine Learning with scikit-learn
- Predicting categories with K-Nearest Neighbours
- Predicting categories with Logistic Regression
- Predicting categories with Naive Bayes and SVMs
- Predicting numeric outcomes with Linear Regression
- Classification & Regression with Trees
- Clustering data with Unsupervised Machine Learning
- Performance evaluation methods

