Machine_Learning_Moneyball

This is a custom Machine Learning tool that uses a genetic algorithm and neural net made in tensorflow to find the most important baseball stats

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Data_extraction_and_sanitization.py		Data_extraction_and_sanitization.py
Example_output_to_console.txt		Example_output_to_console.txt
Genetic_Algorithim_Component.py		Genetic_Algorithim_Component.py
Neural_Net_Data_Methods.py		Neural_Net_Data_Methods.py
Neural_Network.py		Neural_Network.py
Plots_Generated_from_collected_data.py		Plots_Generated_from_collected_data.py
README.md		README.md
README.txt		README.txt
Team.csv		Team.csv
Team_for_comparison.csv		Team_for_comparison.csv
ave_stats_by_team.csv		ave_stats_by_team.csv
ave_stats_per_year.csv		ave_stats_per_year.csv
compare_results_to_actual_data.py		compare_results_to_actual_data.py
csv_data.csv		csv_data.csv
csv_test.csv		csv_test.csv
kmeans_on_results.py		kmeans_on_results.py
output.csv		output.csv
output_size=100.csv		output_size=100.csv
output_size=20.csv		output_size=20.csv
relevant_stats.csv		relevant_stats.csv
split_data_for_training_and_testing.py		split_data_for_training_and_testing.py
stats_with_classification.csv		stats_with_classification.csv
team_stats_ave_no_excess_stats.csv		team_stats_ave_no_excess_stats.csv

aselya/Machine_Learning_Moneyball