A predictive model, that given the stats for a 5 player roster, it will predict the x/82 win total for that teams season.
Before the model can be trained the data needs to be retrived. To create the data.csv file, run the data_retrieval.py file, within the code you can change which years and how many players per team, for which the data is collected.
To train the model with the pre-collected data from step 2, simply run the model.py file
To start the main program run the main.py file
Within the terminal for the main program, you can either enter player names within the program to create a custom roster, or provide a .txt filename for a file that has the desired players listed on seperate lines. (See Provided .txt example files)
Select the menu option to predict the win total for the provided team
Select the menu option, and follow the steps presented within the terminal to load and compare two rosters