Alternatives and similar repositories for MachineLearning

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

• DragonflyStats / Coursera-ML
  Machine Learning with Coursera
  ☆385Updated 3 weeks ago
• yhyap / machine-learning-coursera
  Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.
  ☆224Updated 7 years ago
• merwan / ml-class
  Machine learning programming exercises
  ☆315Updated 8 years ago
• 1094401996 / machine-learning-coursera
  Lecture notes and assignments for coursera machine learning class
  ☆95Updated 12 years ago
• zhouxc / Stanford-Machine-Learning-Course
  machine learning course programming exercise
  ☆527Updated 13 years ago
• gopaczewski / coursera-ml
  Completed assignments from Coursera Machine Learning course - March 2014
  ☆112Updated 8 years ago
• everpeace / ml-class-assignments
  Programming Exercises on http://ml-class.org
  ☆434Updated 3 years ago
• Borye / machine-learning-coursera-1
  This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.
  ☆1,126Updated 6 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆865Updated 5 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆610Updated 5 years ago
• vugsus / coursera-machine-learning
  Coursera's Machine Learning by Andrew Ng
  ☆345Updated 4 years ago
• lukaemon / Coursera-ML-AndrewNg
  use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
  ☆922Updated 7 years ago
• machinelearningnanodegree / stanford-cs231
  Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…
  ☆261Updated 8 years ago
• learnml / machine-learning-specialization
  ☆576Updated 7 years ago
• ngavrish / coursera-machine-learning-1
  Coursera's Machine Learning by Andrew Ng
  ☆348Updated 7 years ago
• tjaskula / Coursera
  These are my learning exercices from Coursera
  ☆216Updated 4 years ago
• emilmont / Artificial-Intelligence-and-Machine-Learning
  Algorithm implementations and homework solutions for the Stanford's online courses
  ☆548Updated 12 years ago
• worldveil / coursera-ml
  Andrew Ng's Coursera ML coding exercises and notes
  ☆123Updated 11 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆310Updated 3 years ago
• anirudhjayaraman / Machine-Learning
  Repo cataloging my coursework for Andrew Ng's ML MOOC
  ☆147Updated 5 years ago
• jessicayung / machine-learning-nd
  Udacity's Machine Learning Nanodegree project files and notes.
  ☆254Updated 8 years ago
• mattnedrich / GradientDescentExample
  Example demonstrating how gradient descent may be used to solve a linear regression problem
  ☆543Updated 2 years ago
• udacity / AIND-Sudoku
  ☆156Updated 3 years ago
• chasingbob / deep-learning-resources
  A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.
  ☆144Updated 5 years ago
• schneems / Octave
  my octave exercises for 2011 stanford machine learning class, posted after the due date of course
  ☆836Updated 4 years ago
• LilianYe / Andrew-Ng-Machine-Learning-Programming-solutions-
  open course on coursera.org Stanford University
  ☆51Updated 5 years ago
• tuanavu / coursera-university-of-washington
  University of Washington
  ☆328Updated 8 years ago
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆318Updated 8 years ago
• llSourcell / linear_regression_live
  This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube
  ☆292Updated 2 years ago
• llSourcell / The_Math_of_Intelligence
  This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"
  ☆395Updated 8 years ago