Chapter 6 · Data Science

Decision-Making Using Machine Learning Basics

Supervised and unsupervised learning, training and testing, logistic regression and k-means clustering, regression with bootstrapping, decision trees and entropy, and random forests and naive Bayes.

5 of the 8 problems this chapter sets.