NBA Games Predictor

In this project, we aim to predict the outcomes of NBA games by analyzing box scores. We’ll begin by web scraping the NBA box scores and using BeautifulSoup to read and clean the HTML data. Next, we will parse the box scores into pandas DataFrames, which will serve as the foundation for our machine learning analysis. We’ll conduct feature selection to identify effective predictors for game outcomes and then train a machine learning model to make predictions. Finally, we’ll compute rolling predictions to refine and enhance the model’s accuracy.

Project Title 2

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Project Title 3

Description of project 3.