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Predict NBA Games With Python And Machine Learning

We'll predict the winners of basketball games in the NBA using python. We'll start by reading in box score data that we scraped in the last video. If you didn't watch the last video, you can still download the file (link below) and follow along. We'll do feature selection to identify good predictors, and train a machine learning model to make predictions. We'll end by computing rolling predictors and improving the model. We'll discuss how you can keep improving the model and predict future games. Links Full code and description of the project - https://github.com/dataquestio/projec... Dataset if you missed the previous video - https://drive.google.com/uc?export=do... Previous video where we did web scraping -    • Web Scraping NBA Games With Python [F...   Chapters 00:00 Introduction 01:00 Reading in box score data 06:10 Preparing data for machine learning 16:10 Selecting the best features for the model 25:31 Creating a baseline model 36:06 Improving performance with rolling averages 41:54 Add in opponent information 51:11 Train a more accurate model 55:08 Improving the model and making future predictions --------------------------------- Join 1M+ Dataquest learners today! Master data skills and change your life. Sign up for free: https://bit.ly/3O8MDef