I want to be able to find how much a NBA free agent should get paid based off of their stats, with a main foucs using VORP(Value over Replacement Player). I will be using current contracts of players in order to find out how much current NBA front offices view VORP is worth based on VORP and other statistics. I will be using the Pandas library to help me with my predictive analysis. I will be getting the majority of my data from ![Basketball-Reference] (https://www.basketball-reference.com/). I will be able to use pandas to run a predective analysis.
Click this link and press the 'play' button in order to run the program.
In order to be able to run this program. You need to follow the installation process that is outlined below.
pip install pandas
In order to be able to run the my computational artifact run this command:
python 2020-21.py
In order to run the other program run:
python Artifact_feasibility.py
- NBA front office can't effectively sign players to contracts that the players are worthy of.
- Need to be able to find a way to correctly predict how much a player is worth.
- Use NBA PyAnalysis in order to find a players true worth.
- Use a key statistic VORP(Value over replacement player) in order to find the players worth.
- Need to use machine learning in order find the players true worth.
- Have to train the machine learning algorthim wiht past seasons stats and contracts.
- In order to create the required dataframe used a python tool call
pandas.