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
