abeleinin / b365_final

CSCI-B365 final project

B365 Final Project

NFL data mining project implementing a decision tree, random forest, and elo rating system.

Table of contents

• Decision Tree
• Random Forest
• Elo and Monte Carlo Simulation
• Dataset

Decision Tree

Code

• decision_tree.R
  • Decision tree implementation
• cross_validation.R
  • Cross validation implementation
• clean_for_decision_tree.R
  • Cleaning script for decision tree

Data

• nfl-games2002-2022.csv

Random Forest

Code

• random_forest.R
  • Implements a random forest model

Data

• nfl-games2002-2022.csv

Elo and Monte Carlo Simulation

Code

• elo_and_simulation.ipynb
  • Implements the Elo rating system for NFL team ranking
  • Simulations for the following:
    • Win/Loss predictions for the rest of the 2023 regular season
    • Playoff probability predictions based on the NFL playoff bracket
    • Postseason probability predictions based on predicted regular season Win/Loss and simulated playoff
• get_espn_data.py
  • Using the requests library the script scraps the ESPN NFL API for data relevant data from current 2023 season

Data used

• nfl_scores.csv
• nfl_scraped_2023.csv

Dataset

• nfl_scores.csv
  • Kaggle: NFL scores and betting data
• nfl-games2002-2022.csv
  • Kaggle: NFL Games Statistics 2002 - 2022
• nfl-team2010-2022.csv
  • Kaggle: NFL Team Statistics 2010 - 2021