CSC 4220: Data Mining and Machine Learning

Tennesse Tech, Spring 2025

Welcome to Week 10 of CSC4220!

Schedule

Week 0

Jan 22

Lecture 0 Introduction: Note 0

Week 1

Jan 27

Lecture 1 Python and Pandas I: Note 1

Jan 29

Lecture 2 Pandas II and Pandas III: Note 2A Note 2B

Homework 1 (due Feb 7) Homework 1

Drop Deadline (w/o grade) 11:59pm CT

Week 2

Feb 3

Lecture 3 Pandas Fin and In-Class Exercise: Income Dataset; In-Class Notebook

Feb 5

Lecture 4 In-Class Exercise Part 2 and Probability: In-Class Notebook

Feb 7

Homework 1 Due

Grad Book Reading Make selection and notify instructor

Week 3

Feb 10

Lecture 5 Distributions, Sampling, and Statistics: Salary Questionare; In-Class Notebook

Feb 12

Lecture 6 Expectation, Variance, Correlation, and Hypothesis Testing: In-Class Debrief

Homework 2 (due Feb 21) Homework 2

Week 4

Feb 17

Lecture 7 Exploratory Data Analysis: In-Class Notebook

Feb 19

Lecture 8 Snow Day!

Feb 21

Grad Project Project proposal due

Homework 2 Due

Week 5

Feb 24

Lecture 9 Modeling: In-Class Notebook; Section 2.1, 2.2, and 3.1 in ISLP

Feb 26

Lecture 10 The Problem of Multiple Regression: In-Class Notebook; Section 3.2 in ISLP

Homework 3 (due March 16) Homework 3

Week 6

March 3

Lecture 11 Gradient Descent Part 1: In-Class Notebook; Section 10.7 in ISLP

March 5

Lecture 12 Gradient Descent Part 2: In-Class Notebook; Section 10.7 in ISLP

Midterm Exam

Week 7

March 10

Lecture 13 Model Evaluation: Section 2.2, 3.1, and 3.2 in ISLP; On a Linear Model; On a Neural Network

March 12

Midterm

March 16

Homework 3 Due

Week 8

March 17: Spring Break! No Class
March 19: Spring Break! No Class

Week 9

March 24

Lecture 14 Model Regularization: In-Class Notebook; Section 6.0, 6.1, 6.2 in ISLP

March 26

Lecture 15Logistic Regression: In-Class Notebook; Section 4.3 in ISLP

Homework 4

March 28

Grad Project Background literature review due

Grad Book Reading Book Club

Week 10

March 31

Lecture 16 Logistic Regression part 2: Page 405 in ISLP; In-Class Notebook

April 2

Lecture 17 [Model Evaluation and Neural Networks - How did we get here?]

Week 11

April 7

Week 12

April 16: Homework 6
April 18: Grad Project Implementation Demonstration and Follow up Questions

Week 13

April 21: Lecture 22 Large Language Models

Week 14

April 28: Grad Project Final Results

Week 15

May 6: Final Exam Final Exam 1-3pm CT : Final Exam Schedule