GitHub - Joelman111/Machine-Learning-For-Batting-Average-Prediction: A long short-term memory model for predicting MLB players' batting averages based on factors like previous batting averages, age, and career walk/strikeout rate.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
baseballdatabank-2019.2/baseballdatabank-2019.2		baseballdatabank-2019.2/baseballdatabank-2019.2
18_794_Project_Proposal.pdf		18_794_Project_Proposal.pdf
Batting Averages Predict.py		Batting Averages Predict.py
LSTM.py		LSTM.py
LSTM_tutorial		LSTM_tutorial
PyTorch Tutorial.py		PyTorch Tutorial.py
XGBModel		XGBModel
XGBModel1		XGBModel1
XGBoost.py		XGBoost.py
XGBoostBaseball.py		XGBoostBaseball.py
arg_parse.py		arg_parse.py
baseball.db		baseball.db
baseballSQL.db		baseballSQL.db
batting_stats.df		batting_stats.df
getDataFrame.py		getDataFrame.py
getLSTMDataSet.py		getLSTMDataSet.py
lstm_data		lstm_data
person_info.df		person_info.df
requirements for PyTorch Tutorial.txt		requirements for PyTorch Tutorial.txt

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A long short-term memory model for predicting MLB players' batting averages based on factors like previous batting averages, age, and career walk/strikeout rate.