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awesome-decision-tree-papers

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

  • Updated Jun 14, 2024
  • Python

Smart Shopping care self-checkout system. Many people like shopping but the main problem is the time take for the billing. We like to solve this problem. In this case, we like to introduce a device that can do all billing work so that there is no need to wait for billing. they can buy things and pay themselves. developed by @piriyaraj, @Rilwan292,…

  • Updated Nov 23, 2022
  • Python

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