Course Materials:

Outline: (PDF)

Main Text Book: An Introduction to Statistical Learning- with Application in R (PDF)

The Elements of Statistical Learning (PDF)

Lecture Slides:

ALL SLIDES

Slide 1: Introduction; Slide 1extra: ISLR Chapter 1: Introduction, Extra:Linear Algebra

Slide 2: ISLR Chapter 2: Statistical Learning; Slide 2extra: Probability

Slide 3: ISLR Chapter 3: Linear Regression; Slide 3extra: Linear Regression

Slide 4: ISLR Chapter 4: Classification; Slide 4extra1 and 4extra2

Slide 5: ISLR Chapter 5: Resampling

Slide 6: ISLR Chapter 6: Linear Model Extra

Slide 7: ISLR Chapter 7: Non-linear Model

Slide 8: ISLR Chapter 8: Trees

Slide 9: ISLR Chapter 9: svm

Slide 10: ISLR Chapter 10: unsupervised learning

Slide 11: neural networking

R Code:

Chapter3

Chapter4

Chapter5

Chapter6

Chapter7

Chapter8

Chapter9 chap9extra

Chapter 10

Assignments:

First Assignment (Submission Date: November 7, 2022)

Second Assignment (Submission Date: February 28, 2022)

Third Assignment (Submission Date: April 24, 2022)