Alternatives and similar repositories for DecisionTree

Users that are interested in DecisionTree are comparing it to the libraries listed below

• X-Brain / MachineLearning
  Basic MachineLearning algorithm
  ☆114Updated 8 years ago
• jimenbian / DataMining
  My data mining code！
  ☆183Updated 9 years ago
• ryanmadden / decision-tree
  C4.5 Decision Tree python implementation with validation, pruning, and attribute multi-splitting
  ☆86Updated 7 years ago
• mazefeng / ml
  Implementations of classic Machine Learning algorithms
  ☆190Updated 5 years ago
• abhijeet3922 / Mail-Spam-Filtering
  It uses machine learning models (Multinomial NB & SVM) to predict whether the email is spam or ligitimate on two corpus namely Ling-spam …
  ☆90Updated 9 years ago
• LiuRoy / classfication_demo
  用logistic回归，SVM，神经网络实现分类算法
  ☆95Updated 9 years ago
• timothyasp / PageRank
  Implementation of the PageRank algorithm
  ☆175Updated 8 years ago
• SunnyMarkLiu / Naive_Bayes_Meet_Adaboost
  Implement Naive Bayes and Adaboost from scratch and use them to filter spam emails.
  ☆158Updated 8 years ago
• ajtulloch / svmpy
  Basic soft-margin kernel SVM implementation in Python
  ☆261Updated 9 years ago
• wangqingbaidu / aliMusic
  🎼天池阿里音乐流行趋势预测大赛，项目中涵盖了从初赛到复赛的全部核心代码。复赛的聚合数据可以在百度网盘下载，更详细的思路介绍欢迎访问我的博客。
  ☆152Updated 7 years ago
• wepe / TianChi-Industry4.0-Competition
  1st Place Solution for TianChi-Industry4.0-Competition
  ☆172Updated 8 years ago
• MorvanZhou / tfnn
  A high level API based on Tensorflow
  ☆30Updated 9 years ago
• gy910210 / neural-network-from-scratch
  Implementing Multiple Layer Neural Network from Scratch
  ☆328Updated 9 years ago
• saimadhu-polamuri / CollaborativeFiltering
  Implementation of Collabrative Filtering way of recommendation engine
  ☆83Updated 3 years ago
• haoopeng / CNN-yelp-challenge-2016-sentiment-classification
  IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 re…
  ☆112Updated 6 years ago
• LasseRegin / SVM-w-SMO
  Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.
  ☆120Updated 7 years ago
• mdminhazulhaque / pyqt-bpnn
  Back-Propagation Neural Networks example using PyQt GUI
  ☆29Updated 10 years ago
• yew1eb / DM-Competition-Getting-Started
  数据挖掘竞赛(Kaggle,Data Castle,Analytics Vidhya,DrivenData)入门实践
  ☆82Updated 8 years ago
• DeepVisionTeam / TensorFlowBook
  DeepLearning in TensorFlow
  ☆115Updated 8 years ago
• Eniac-Xie / PyConvNet
  Convolutional Neural Network for python users
  ☆102Updated 9 years ago
• lucksd356 / DecisionTrees
  A python implementation of the CART algorithm for decision trees
  ☆47Updated 7 years ago
• hschen0712 / machine-learning-notes
  机器学习笔记
  ☆147Updated 7 years ago
• perborgen / LogisticRegression
  Logistic regression from scratch in Python
  ☆332Updated last year
• hankcs / neural_net
  反向传播神经网络及应用
  ☆86Updated 10 years ago
• michaeldorner / DecisionTrees
  Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
  ☆127Updated 9 years ago
• FindBoat / Kaggle
  Codes for several practice contests in Kaggle
  ☆85Updated 10 years ago
• sujitpal / fttl-with-keras
  Transfer Learning and Fine Tuning for Cross Domain Image Classification with Keras
  ☆85Updated 8 years ago
• MorvanZhou / train-classifier-from-scratch
  Machine Learning: Collect data online and train a classifier from scratch
  ☆58Updated 5 years ago
• jiegzhan / machine-learning-stanford
  Stanford machine learning class on Coursera. Taught by Andrew Ng. Implemented the assignments with Matlab.
  ☆24Updated 8 years ago
• mazefeng / svm
  Tools that implement of the classic SMO (Sequential Minimal Optimization) algorithm for traning SVMs
  ☆43Updated 7 years ago