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.

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how to use

• set up the data with data_initialization.py.
• run simulations