Class Activities/Notes

• Tech Setup/Intro Activity (Penguins.Rmd)
• Data Import Activity
• Data Wrangling
• Linear Regression ( faithful.csv, dugong.csv)
• Tidy Models ( cars2018.csv)
• K Nearest Neighbors ( breast-cancer.csv)
• Resampling Activity( titanic.csv)
• Logistic Regression
• Linear Discriminant Analysis (.Rmd file). For use in your classification metric demo!
• Tree Demo (.html updated)
• Principal Components Analysis for Dimension Reduction
• RStudio Projects, Missing Data, Saving Models
• Activity: Polynomials, Splines, and more
• Support Vector Classifier
• Support Vector Machine for Classification
• Support Vector Machine for Regression
• Single-Layer NNs
• Deep NNs
• NNs and Regularization
• K Means Clustering (NBA data)
• Hierarchical Clustering

Homework

• HW01 (HW Template)
• HW02
• HW03
• HW04
• HW05
• HW06
• HW07
• HW08
• Final Project

Suggested Data Sources for Project:

• Kaggle
• FiveThirtyEight
• Sports Reference (a lot of data for major sports)
• US Census Data
• Google dataset search
• TidyTuesday
• Cook County (Chicago) Open Data
• NHS Scotland Open Data
• Open access to Scotland’s official statistics
• UK Gov Data
• Awesome public datasets
• UCI Machine Learning Repository
• Youth Risk Behavior Surveillance System (YRBSS)
• Harvard Dataverse
• data.world