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 8 years ago
• LiuRoy / classfication_demo
  用logistic回归，SVM，神经网络实现分类算法
  ☆95Updated 9 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 …
  ☆89Updated 8 years ago
• ryanmadden / decision-tree
  C4.5 Decision Tree python implementation with validation, pruning, and attribute multi-splitting
  ☆84Updated 7 years ago
• geerk / C45algorithm
  Implementation of C4.5 algorithm in python.
  ☆59Updated 5 years ago
• mazefeng / ml
  Implementations of classic Machine Learning algorithms
  ☆191Updated 4 years ago
• timothyasp / PageRank
  Implementation of the PageRank algorithm
  ☆175Updated 7 years ago
• lucksd356 / DecisionTrees
  A python implementation of the CART algorithm for decision trees
  ☆47Updated 6 years ago
• gy910210 / neural-network-from-scratch
  Implementing Multiple Layer Neural Network from Scratch
  ☆322Updated 9 years ago
• LasseRegin / SVM-w-SMO
  Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.
  ☆120Updated 6 years ago
• yassersouri / classify-text
  "20 Newsgroups" text classification with python
  ☆150Updated 8 years ago
• michaeldorner / DecisionTrees
  Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
  ☆128Updated 8 years ago
• RyanYoung25 / randomForest
  Python implementation of a random forest for use with continuous value attributes
  ☆59Updated 7 years ago
• SunnyMarkLiu / Naive_Bayes_Meet_Adaboost
  Implement Naive Bayes and Adaboost from scratch and use them to filter spam emails.
  ☆159Updated 8 years ago
• kjahan / k_means
  A Python implementation of k-means clustering algorithm
  ☆182Updated 2 years ago
• damjankuznar / pylof
  Python implementation of Local Outlier Factor algorithm.
  ☆157Updated 8 years ago
• ysh329 / link-prediction
  [UNMAINTAINED] 基于PySpark与MySQL的复杂网络链路预测。
  ☆22Updated 7 years ago
• MansteinLiliang / Transfer-Learning
  迁移学习
  ☆18Updated 6 years ago
• hschen0712 / machine-learning-notes
  机器学习笔记
  ☆148Updated 7 years ago
• MorvanZhou / tfnn
  A high level API based on Tensorflow
  ☆30Updated 8 years ago
• wepe / TianChi-Industry4.0-Competition
  1st Place Solution for TianChi-Industry4.0-Competition
  ☆171Updated 8 years ago
• jerry81333 / StockProdiction
  Stock Prodiction by SVM & ARIMA
  ☆214Updated 5 years ago
• Eniac-Xie / PyConvNet
  Convolutional Neural Network for python users
  ☆102Updated 8 years ago
• abromberg / sentiment_analysis_python
  Working with sentiment analysis in Python.
  ☆214Updated 10 years ago
• jasonding1354 / PRML_Notes
  该项目是关于机器学习经典书籍《Pattern Recognition and Machine Learning》的学习笔记，我用python实现了书中的一些实例，希望帮助感兴趣的人更好的理解
  ☆77Updated 8 years ago
• asaini / Apriori
  Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules
  ☆779Updated 2 years ago
• PacktPublishing / Building-Machine-Learning-Projects-with-TensorFlow
  Building Machine Learning Projects with TensorFlow by Packt
  ☆268Updated 2 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
• himank / K-Means
  K-Means Clustering using MapReduce
  ☆74Updated 3 years ago