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5 search results found

Chefboost ⭐ 428

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

Data Mining Project ⭐ 20

Recognizing human activity using multiple wearable accelerometer sensors placed at different body positions.

Stylometric Data Mining Library with a focus on identifying Satoshi Nakamoto as a case study.

Go Mining ⭐ 10

Data mining with Go.

Fastrandomforest ⭐ 5

A fast implementation of the Random Forest algorithm for the Weka environment

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