metis_project2_luther

Notebooks

Notebooks should be run in this order:

1. Web scraping:

• DataScraper.ipynb
• DataScraper_Injury.ipynb

2. Data massaging:

• Prepare_GamesData.ipynb
• Prepare_InjuryData.ipynb
• Prepare_MergeData.ipynb

3. Regression:

• Regression_CV.ipynb

4. Visualization:

• GraphData.ipynb

Other:

• correlations/*: Graphing pair plots and correlation heatmaps to explore feature relationships.
• AverageAsBaseline.ipynb: Calculate MSEs and visualize residuals for baseline models.

Data

• data/1/fftoday_{years}_pos{position}.csv
• data/2/{position}.csv

Position numbering:

• 20 = RB
• 30 = WR
• 40 = TE