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Machine Learning makes predicting NBA2K player ratings one of the easiest things in the world.

Jupyter Notebook 98.43% HTML 0.61% CSS 0.32% Python 0.44% JavaScript 0.20%
python javascript html css flask-server machine-learning nba-stats nba-analytics nba-prediction nba-api

nba-2k-player-rating-predictor's Introduction

NBA-2K-player-rating-predictor

In this machine learning project, linear regression model was built to predict NBA player's rating in the next release of the NBA 2K video game according to current season stats.

Folder structure:

  • client : This contains UI website code
  • server: Python flask server
  • model: Contains python notebook and dataset for model building

Used in this project:

  1. Python
  2. Numpy and for data cleaning
  3. Matplotlib & Seaborn for data visualization
  4. Sklearn for model building
  5. Jupyter notebook, Visual Studio Code and as IDE
  6. Python flask for http server
  7. HTML/CSS/Javascript for UI

Final prediction example:

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