Slides #
If you are registered for the course, you can find the material on UM Learn.
- Course Overview
- Mathematical Preliminaries
- Summary Statistics
- Introduction to the Tidyverse
- Tidy data
- Joining data
- Correlation
- Distribution and Significance
- Data Visualization
- Principles of Data Visualization
- Scores & Rankings
- PageRank Algorithm
- Building Models
- Validating Models
- Introduction to Linear Regression
- Regularized Regression
- Logistic Regression
- Nearest Neighbours
- Decision Trees
- Random Forests
- Clustering