Fall 2022
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
6. Regularlization
8. Decision Tree
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)