Fall 2024

STAT 484/584

Intro to Machine Learning

Department of Statistics
University of Akron

0. Preliminary

1. Introduction

2. Regression Methods

3. Cross Validation

4. Logistic Regression

  • Slides A
  • Slides B
  • Ch4-Lab Default 0 (see below)
  • Ch4-Lab Default 4 (see below)
  • Ch4-Lab Heart 0 (see below)
  • Ch4-Lab Heart 4 (see below)

8. Decision Tree

  • Slides
  • Ch8-Lab Heart 8 (see below)
  • Ch8-Lab Boston 8 (see below)

9. Support Vector Machine

10. Neural Network

11. Unsupervised Learning

Textbooks

R and Rstudio

Databank

Other Resources

Fisher Iris Data (150x4 Cfn)

ISLR Default Data (10000x4 Cfn)

ISLR Heart Data (303x14 Cfn)

UCI Breast Cancer Data (569x32 Cfn)

MASS Boston Data (500x13 Reg)

UCI Concrete Data (1030x8 Reg)

UCI Superconductor Data (21263 × 82 Reg)

UCI Digits 8by8 (1769x64 10lv.Cfn)

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