2/12/2024

Topics Covered in Football/Player Performance Projects

• Linear Regression - see Chapter 4
• Logistic Regression - see Chapter 5
• Regularized regression - see Chapter 6
  • Ridge Regression
  • Lasso Regression
  • Elastic Nets
• Multivariate Adaptive Regression Splines (MARS) - see Chapter 7
• K-Nearest Neighbors - see Chapter 8
• Decision Trees - see Chapter 9
• Random Forests - see Chapter 11
• Principal Component Analysis (PCA) - see Chapter 17
• K-means Clustering - see Chapter 20
• Nonparametric Methods
  • Bootstrapping
  • Nonparametric Regression
  • Wilcoxon Rank Sum Test
  • Friedman Test
  • Kruskal-Wallis Test
  • Ansari-Bradley Test
• Time Series Analysis
• Shapiro-Wilk Test
• Cox Proportional Hazards Model
• General Additive Models (GAM)

Minute Card - Your feedback on the course

Project #2 - Basketball Project to prepare for analysis of data from Charlotte Hornets