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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.

Python 100.00%
nba-prediction web-scraping feature-engineering neural-networks svm-classifier random-forest selenium nba-dataset beautifulsoup4 sklearn

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