Weekly Materials

Week 1 — Introduction

Mon Aug 31	Introduction
Wed Sep 2	Python Review
Fri Sep 4	DataFrame basics

Week 2 — DataFrame Basics

Mon Sep 7	Labor Day — no class
Wed Sep 9	Plotly basics
Fri Sep 11	Practice 1 · Quiz 1 (in class)

Week 3 — Exploring DataFrames

Mon Sep 14	Grouping data
Wed Sep 16	Visual exploration
Fri Sep 18	Practice 2 · Forum 1 instructions

Week 4 — Relational Tables

Mon Sep 21	Joining tables
Wed Sep 23	Tidying tables
Fri Sep 25	Practice 3 · Quiz 2 (in class)

Week 5 — Clustering & Dimensionality Reduction

Mon Sep 28	PCA
Wed Sep 30	Clustering
Fri Oct 2	Practice 4 · Forum 2 instructions

Week 6 — Classification

Mon Oct 5	Classification basics
Wed Oct 7	Classifier validation
Fri Oct 9	Practice 5 · Quiz 3 (in class)

Week 7 — Decision Trees

Mon Oct 12	Decision trees
Wed Oct 14	Hyperparameter tuning
Fri Oct 16	Fall Break — no class

Week 8 — Fall Break

Mon Oct 19	Fall Break — no class
Wed Oct 21	Fall Break — no class
Fri Oct 23	Practice 6 · Forum 3 instructions

Milestone 1 due Sat Oct 24, midnight

Week 9 — Feature Engineering

Mon Oct 26	Preprocessing
Wed Oct 28	Missing data
Fri Oct 30	Practice 7 · Quiz 4 (in class)

Week 10 — Linear Regression

Mon Nov 2	Linear Regression
Wed Nov 4	Regression validation
Fri Nov 6	Practice 8 · Forum 4 instructions

Milestone 2 due Sat Nov 7, midnight

Week 11 — Other Models

Mon Nov 9	Logistic Regression
Wed Nov 11	Ensembles
Fri Nov 13	Practice 9 · Quiz 5 (in class)

Week 12 — Other Techniques

Mon Nov 16	Imbalanced data
Wed Nov 18	Time-series data
Fri Nov 20	Practice 10 · Forum 5 instructions

Milestone 3 due Sat Nov 21, midnight

Week 13 — Project

Mon Nov 23	Project progress check
Wed Nov 25	Thanksgiving — no class
Fri Nov 27	Thanksgiving — no class

Week 14 — Fairness & Interpretability

Mon Nov 30	Fairness methods
Wed Dec 2	Interpretability methods
Fri Dec 4	Practice 11 · Quiz 6 (in class)

Milestone 4 due Sat Dec 5, midnight

Week 15 — Project

Mon Dec 7	Project progress check
Wed Dec 9	Book Club 6 & Wrap Up · Forum 6 instructions