This project focuses on predicting athlete-performance in the National Basketball Association (NBA) and extrapolating to team performance.
- readxl: Import of Data
- ggplot2: Visualization
- dplyr: Data Wrangling
- skimr: Summary statistics
- corrplot: Visualization of Correlations
- caret: Modelling framework
- randomForest: Random Forest
- DT: Interactive html tables
- plotly: Interactive Plots
- Testfile start 2017/18 season - compare to Vegas Line and other Predictions
- 2018/19 season and predictions
- Update for Team Trades during the 2018/19 season
- Evaluate Predictions after the regular season