Alternatives and similar repositories for ml-class-assignments

Users that are interested in ml-class-assignments are comparing it to the libraries listed below

• DragonflyStats / Coursera-ML
  Machine Learning with Coursera
  ☆385Updated last month
• schneems / Octave
  my octave exercises for 2011 stanford machine learning class, posted after the due date of course
  ☆837Updated 4 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
• yhyap / machine-learning-coursera
  Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.
  ☆224Updated 7 years ago
• rieder91 / MachineLearning
  Exercises for the Stanford/Coursera Machine Learning Class
  ☆248Updated 13 years ago
• merwan / ml-class
  Machine learning programming exercises
  ☆315Updated 8 years ago
• ngavrish / coursera-machine-learning-1
  Coursera's Machine Learning by Andrew Ng
  ☆348Updated 7 years ago
• gopaczewski / coursera-ml
  Completed assignments from Coursera Machine Learning course - March 2014
  ☆112Updated 8 years ago
• vugsus / coursera-machine-learning
  Coursera's Machine Learning by Andrew Ng
  ☆345Updated 4 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆866Updated 5 years ago
• tjaskula / Coursera
  These are my learning exercices from Coursera
  ☆216Updated 4 years ago
• zhouxc / Stanford-Machine-Learning-Course
  machine learning course programming exercise
  ☆527Updated 13 years ago
• Qian-Han / coursera-Deep-Learning-Specialization
  This course is created by deeplearning.ai. Master Deep Learning, and Break into AI
  ☆86Updated 7 years ago
• 1094401996 / machine-learning-coursera
  Lecture notes and assignments for coursera machine learning class
  ☆95Updated 12 years ago
• AvaisP / machine-learning-programming-assignments-coursera-andrew-ng
  Solutions to Andrew NG's machine learning course on Coursera
  ☆392Updated 6 years ago
• jessicayung / machine-learning-nd
  Udacity's Machine Learning Nanodegree project files and notes.
  ☆254Updated 9 years ago
• anirudhjayaraman / Machine-Learning
  Repo cataloging my coursework for Andrew Ng's ML MOOC
  ☆147Updated 5 years ago
• benoitvallon / coursera-machine-learning
  ☆94Updated 5 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
• Kulbear / deep-learning-nano-foundation
  Udacity's Deep Learning Nano Foundation program.
  ☆394Updated 8 years ago
• lukaemon / Coursera-ML-AndrewNg
  use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
  ☆922Updated 7 years ago
• zsiciarz / ml-coursera
  My solutions for programming assignments from the Machine Learning course at coursera.org.
  ☆112Updated 8 years ago
• tuanavu / coursera-stanford
  Stanford
  ☆288Updated 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
• UtkarshPathrabe / Machine-Learning-Stanford-University-Coursera
  Contains the Course Material and Assignment Solutions for the Machine Learning Course at Stanford University on Coursera.
  ☆194Updated last year
• LilianYe / Andrew-Ng-Machine-Learning-Programming-solutions-
  open course on coursera.org Stanford University
  ☆51Updated 5 years ago
• llSourcell / linear_regression_demo
  This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube
  ☆192Updated last year
• tuanavu / coursera-university-of-washington
  University of Washington
  ☆326Updated 8 years ago
• llSourcell / Convolutional_neural_network
  This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube
  ☆366Updated 6 years ago
• hammadshaikhha / Data-Science-and-Machine-Learning-from-Scratch
  Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…
  ☆435Updated 3 years ago