Reading Companions

Pre-class preparation and post-class review materials to help you master each lesson. Each companion includes vocabulary, worked examples, and self-test questions.

Module 0 Overview Guides

Overview

Supervised Learning: Complete Guide

90-120 minutes Prereq: L16 Correlation, L14 Distributions
Overview

Unsupervised Learning: Complete Guide

75-100 minutes Prereq: L13 Descriptive Statistics, L16 Correlation

Module 4 Machine Learning: Regression

L21

Linear Regression

45-60 minutes Prereq: L16 Correlation
L22

Regularization

40-50 minutes Prereq: L21 Linear Regression
L23

Regression Metrics

45-55 minutes Prereq: L21 Linear Regression
L24

Factor Models

50-60 minutes Prereq: L21-L23

Module 5 Machine Learning: Classification

L25

Logistic Regression

45-60 minutes Prereq: L21 Linear Regression
L26

Decision Trees

45-60 minutes Prereq: L25 Logistic Regression
L27

Classification Metrics

45-55 minutes Prereq: L25 Logistic Regression
L28

Class Imbalance

40-50 minutes Prereq: L27 Classification Metrics

Module 6 Machine Learning: Unsupervised

L29

KMeans Clustering

45-60 minutes Prereq: L11 NumPy Basics
L30

Hierarchical Clustering

45-55 minutes Prereq: L29 KMeans Clustering
L31

PCA

50-60 minutes Prereq: L11 NumPy Basics
L32

ML Pipeline

45-55 minutes Prereq: L25-L31

More Reading Companions Coming Soon

Additional modules will be added throughout the semester.