Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning algorithms,all are implemented with Python(sklearn-decision-tree-prune included,All are finished).
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Updated
May 5, 2020 - C
Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning algorithms,all are implemented with Python(sklearn-decision-tree-prune included,All are finished).
Implementation of Random Forests model and decision trees in C
Automatic decision tree generation from decision tables provided. This tool leverages machine learning algorithms to streamline the transformation of structured decision tables into interpretable and efficient decision trees. Designed for applications in fields such as healthcare, finance, and manufacturing.
A complete and autonomous embedded system for atmospheric data collection and rain prediction, powered by Zephyr RTOS and an onboard Machine Learning model running on the STM32-F446RE microcontroller.
Naive implementation of CART (Classification And Regression Tree) algorithm in C (standard C89/C90) for data classification
A complete and autonomous embedded system for atmospheric data collection and rain prediction, powered by Zephyr RTOS and an onboard Machine Learning model running on the STM32-F446RE microcontroller.
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