A comparative study of various models for prediction of Win/Loss of a basketball game based on the team’s as well as players’ past statistics. Also focused on the web scraping techniques to scrap raw datasets from the nba/stats website and feature engineering on the collected datasets to best suit the classification problem.
random-forest
sklearn
selenium
web-scraping
neural-networks
feature-engineering
svm-classifier
nba-prediction
nba-dataset
beautifulsoup4
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Updated
Feb 13, 2021 - Python