Modeling 3: Intro to machine learning with scikit-learn

Intro and Objectives

The sckit-learn module (sklearn, for short) is a full featured Python module for all kinds of data analysis and predictive modeling algorithms. We’ll do a brief overview of this widely used module and get a bit more exposure to statistical learning algorithms. We’ll also explore an unsupervised learning technique - K-means cluster analysis (via R and then via Python using scikit-learn).

New course website pages

I’m porting this Sphinx based course over to Quarto. The first two modules I did are the ones I cover here on doing machine learning with (mostly) Python (and a little R). We will cover one module per week over the next two weeks.

• Week 1 - Modeling 2: Intro to classifiers with Python using sklearn

• Week 2 - Modeling 3: Intro to unsupervised learning with Python and R