Moneyball-Data-Analysis

This repository explores the moneyball theory & other baseball statistics to predict if a team makes the playoffs.

`data` folder:

contains data initialization steps, including loading dataset & adding more data via API.

`extra` folder:

contains attributes to obtain statistics from API and a jupyter icon.

`linear model simulations` folder:

contains models on moneyball statistics and another on more statistics.
explores variable weights and simulates models during different eras of baseball.

`package` folder:

contains modules and libraries used within the repository.

`xgboost simulation`

contains XGBoost model.
explores different accuracy metrics and simulates model during different eras of baseball.

how to use

set up the data with data_initialization.py.
run simulations