Project 3. NBA analysis for 4 season Team Members: Iretemi Adelaja, Adelia Manuel, Patrick Cardozo, Antonia Njoku, David Ayankoya
Summary: We are going to predict the nba game's results for the next season. Using logistic regression model and LSTM model to predict a team would win or lose the next game.
Project Description: The impact of nba stats on wins and losses.
Value: Spot betting for basketball fans.
Why: Machine learning has increased exponentially with sport using statistics. Our goal is to be able to predict the future game using the previous games.
Datasets: csv file from the nba database.
Methods: scrapping nba website with all the stats to retrieve database.
Requirements: Sckit-Learn, machine learning library, tableau and AWS
