classification-trees 开源项目推荐（75 个）

benedekrozemberczki /awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

benedekrozemberczki /awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

maykulkarni /Machine-Learning-Notebooks

Machine Learning notebooks for refreshing concepts.

xuyxu /Soft-Decision-Tree

PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

tofti /python-id3-trees

python implementation of classification trees

lucksd356 /DecisionTrees

A python implementation of the CART algorithm for decision trees

lucaslattari /MachineLearningSeries

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

mrgloom /skin-detection-example

Simple pixelwise skin detection using classification tree.

chicago-joe /Python-ML-for-Financial-Applications

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

NicolasBizzozzero /fforest

A set of tools useful for doing experiments with fuzzy forests

SimoneStefani /kth-dd2421

Machine Learning (DD2421) at Royal Institute of Technology KTH

Stevan-Radovanovic /MachineLearningCollection-R

A collection of problems solved with machine learning algorithms, using R.

OJB-Quantum /Quantum-Native-Solvers

A compilation of quantum-native solver techniques that can be used to map and run on a quantum computer. Compiled by Onri Jay Benally.

huangyueranbbc /ClassificationModelForAmazonReviewsDemo

基于50万亚马逊美食评论数据集的评论分类系统 Review classification system based on 500 thousand Amazon gourmet review data

vamshikallem /Churn-Prediction-of-Telecom-Data

This project is focused on end to end application of Machine Learning methodologies to achieve best predicting accuracy. Our goal is to predict churn rate of customers for a telecom service provider based on service charges and usage data of customer.

Amar-arruf /App_Skipsiku

Sistem Pendukung Keputusan untuk menentukan layak dan tidaknya seseorang mendapatkan bantuan PKH dengan menggunakan machine learning yaitu C4.5 dan K-Means

DavidCico /Self-implementation-of-a-random-forest-algorithm

A random forest algorithm is implemented in Python from scratch to perform a classification analysis.

sebastiankeshuqi /Apply-Classification-Tree-to-Red-Wine-Quality

该项目在 GitHub 上没有填写描述

AndreaCorvi /KobeBryant-DecisionTrees

Classification on the Kobe Bryant Shot Selection dataset (https://www.kaggle.com/c/kobe-bryant-shot-selection/data) using Decision Trees

bryce-bowles /alchemy-broker-modeling

Performed segmentation analysis and predictive modeling on insurance broker performance to conclude a random forest model (highest AUC of 73%) predicted whether 2020 Gross Written Premium will increase or decrease from 2019 with a misclassification rate of 35%. Four classification models (classification trees, logistic regression, random forests…