Alternatives and similar repositories for KNN

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

• dataworkshop / xgboost
  Tutorial how to use xgboost
  ☆188Updated 9 years ago
• cheng-li / pyramid
  Open source Machine Learning library written in Java
  ☆189Updated 3 years ago
• timothyasp / apriori-python
  Association Rules Mining
  ☆95Updated 10 years ago
• dingwentao / MILOF
  Online Anomaly Detection for HPC Performance Data
  ☆11Updated 7 years ago
• michaeldorner / DecisionTrees
  Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
  ☆127Updated 8 years ago
• PacktPublishing / Learning-Data-Mining-with-Python
  Code repo for Learning Data Mining with Python, published by Packt Publishing
  ☆196Updated 2 years ago
• RyanYoung25 / randomForest
  Python implementation of a random forest for use with continuous value attributes
  ☆59Updated 8 years ago
• PacktPublishing / Machine-Learning-with-Spark
  Create scalable machine learning applications to power a modern data-driven business using Spark
  ☆61Updated 2 years ago
• biolab / orange3-associate
  🍊 Frequent itemsets and association rules mining for Orange 3.
  ☆67Updated last year
• jimenbian / DataMining
  My data mining code！
  ☆183Updated 9 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 11 years ago
• chandarb / Python-Regression-Tree-Forest
  Python implementation of CART regression tree and random forests
  ☆47Updated 10 years ago
• analyticalmonk / KMeans_elbow
  Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
  ☆42Updated 5 months ago
• brianoleary15 / Hands-On-Machine-Learning-with-ScikitLearn-and-TensorFlow
  ☆36Updated 8 years ago
• stober / pca
  Principle Component Analysis in Python
  ☆42Updated 13 years ago
• wepe / tgboost
  Tiny Gradient Boosting Tree
  ☆321Updated 6 years ago
• hsz1273327 / ScoreCardModel
  Score card model for Credit Scoring System.
  ☆118Updated 6 years ago
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago
• Waikato / meka
  Multi-label classifiers and evaluation procedures using the Weka machine learning framework.
  ☆208Updated last year
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆216Updated 2 years ago
• zhangjuefei / mentat
  A machine learning library build on python, numpy and pandas.
  ☆23Updated 7 years ago
• gregtam / interpreting-decision-trees-and-random-forests
  Unwrapping decision trees and random forests to make them less of a black box
  ☆62Updated 8 years ago
• stober / svm
  Support Vector Machines in Python
  ☆48Updated 13 years ago
• boredbird / woe
  Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
  ☆256Updated 6 years ago
• enaeseth / python-fp-growth
  An implementation of the FP-growth algorithm in pure Python.
  ☆369Updated 3 years ago
• ryanmadden / decision-tree
  C4.5 Decision Tree python implementation with validation, pruning, and attribute multi-splitting
  ☆85Updated 7 years ago
• PacktPublishing / Mastering-Natural-Language-Processing-with-Python
  Mastering Natural Language Processing with Python
  ☆139Updated last week
• 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 …
  ☆91Updated 8 years ago
• PacktPublishing / Large-Scale-Machine-Learning-With-Python
  Code repository for Large Scale Machine Learning with Python, published by Packt
  ☆90Updated 2 years ago
• appleyuchi / Decision_Tree_Prune
  Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning algorithms,all are implemented with Python(sklearn-decision-tree-prune included,Al…
  ☆67Updated 5 years ago