IPython Interactive Computing and Visualization Cookbook

Chapter 8. Machine Learning

In this chapter, we will cover the following topics:

• Getting started with scikit-learn
• Predicting who will survive on the Titanic with logistic regression
• Learning to recognize handwritten digits with a K-nearest neighbors classifier
• Learning from text – Naive Bayes for Natural Language Processing
• Using support vector machines for classification tasks
• Using a random forest to select important features for regression
• Reducing the dimensionality of a dataset with a Principal Component Analysis
• Detecting hidden structures in a dataset with clustering

Introduction

In the previous chapter, we were interested in getting insight into data, understanding complex phenomena through partial observations, and making informed decisions in ...