This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses and the timeline of topics and assignments might be updated throughout the semester.
1
Mon, Jul 7
Lec 0
Welcome + Intro to Python
Panopto 🎥
📚 Python Data Analysis - Chp 2 Python Data Analysis - Chp 3 Getting Started with Quarto Quarto + VSCode Git + VSCode Git + GitHub in RStudio - just watch conceptual stuff
Fri, Jul 11
Lec 1
Introduction to Data Mining
📚 Data Mining Concept - Chp 1 Python Data Analysis - Chp 4
✅ RQ 1
2
Mon, Jul 14
Lec 2
Sampling + conclusions Intro to Pandas
Panopto 🎥
📚 Prac Stats for DS - Chp 2 Python Data Analysis - Chp 5 Python Data Analysis - Chp 6
Fri, Jul 18
Lec 3
Exploratory Data Analysis + Data Viz
📚 Prac Stats for DS - Chp 1 Python Data Analysis - Chp 9
📝 HW 1 RQ 2
3
Mon, Jul 21
Lec 4
Data Preprocessing
Panopto 🎥
📚 Python Data Analysis - Chp 7 Python Data Analysis - Chp 8
Fri, Jul 25
Lec 5
Classification I
📃 Data Preprocessing in Python
📝 HW 2
4
Mon, Jul 28
Lec 5 Cont.
Classification I Cont.
Panopto 🎥
📚 ISL - Chp 4
Lec 6
Classification II
📚 ISL - Chp 8.1 ISL - Chp 5
Fri, Aug 1
Lec 7
Regression I Final Project Peer Review
📚 ISL - Chp 3 ISL - Chp 6, up to regularization
📑 Project proposals for peer review HW 3 RQ 3
5
Mon, Aug 4
Lec 8
Regression II
Panopto 🎥 - IP
📚 ISL - Chp 6, second half
📑 Project proposals for instructor review
Lec 9
Regression III
📚 ISL - Chp 7 ISL - Chp 8.2
Fri, Aug 8
Lec 10
Support Vector Machines
📚 ISL - Chp 9
📝 HW 4 RQ 4
6
Mon, Aug 11
Lec 11
Unsupervised Learning Methods I
Panopto 🎥 - IP
📚 Prac Stats for DS - Chp 7 (pgs 294-302)
Fri, Aug 15
Lec 12
Unsupervised Learning Methods II
📚 Prac Stats for DS - Chp 7 (pgs 302- 325)
📝 HW 5 RQ 5
7
Mon, Aug 18
Lec 13
Association Rules
Panopto 🎥 - IP
📚 Data Mining Concept - Chp 4 Data Mining in Python
Finals
Wed, Aug 20
Final Project Presentations
📑 Final Project