Alternatives and similar repositories for CourseraML

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

• nsoojin / coursera-ml-py
  Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
  ☆1,427Updated 5 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆865Updated 5 years ago
• lukaemon / Coursera-ML-AndrewNg
  use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
  ☆922Updated 7 years ago
• nsoojin / coursera-ml-py-sj
  ☆42Updated 8 years ago
• vugsus / coursera-machine-learning
  Coursera's Machine Learning by Andrew Ng
  ☆345Updated 4 years ago
• Kyubyong / numpy_exercises
  Numpy exercises.
  ☆1,735Updated 2 years ago
• JudasDie / deeplearning.ai
  Some work of Andrew Ng's course on Coursera
  ☆710Updated 6 years ago
• jdwittenauer / ipython-notebooks
  A collection of IPython notebooks covering various topics.
  ☆2,608Updated 4 years ago
• agconti / kaggle-titanic
  A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization…
  ☆925Updated last year
• yhyap / machine-learning-coursera
  Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.
  ☆224Updated 7 years ago
• hadrienj / deepLearningBook-Notes
  Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
  ☆1,782Updated 5 years ago
• kuleshov / teaching-material
  Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
  ☆1,125Updated 5 years ago
• bjpcjp / scikit-and-tensorflow-workbooks
  based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
  ☆317Updated 8 years ago
• DragonflyStats / Coursera-ML
  Machine Learning with Coursera
  ☆385Updated 3 weeks ago
• JWarmenhoven / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆4,367Updated 2 years ago
• mbadry1 / CS231n-2017-Summary
  After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole cou…
  ☆1,569Updated 5 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,803Updated 2 years ago
• cs109 / content
  Official content for Harvard CS109
  ☆1,779Updated 2 years ago
• suraggupta / coursera-machine-learning-solutions-python
  A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera
  ☆281Updated 2 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
• cs109 / 2015
  Public material for CS109
  ☆1,480Updated 2 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆610Updated 5 years ago
• AvaisP / machine-learning-programming-assignments-coursera-andrew-ng
  Solutions to Andrew NG's machine learning course on Coursera
  ☆392Updated 6 years ago
• enggen / Deep-Learning-Coursera
  Deep Learning Specialization by Andrew Ng, deeplearning.ai.
  ☆1,715Updated 4 years ago
• asadoughi / stat-learning
  Notes and exercise attempts for "An Introduction to Statistical Learning"
  ☆2,143Updated 2 years ago
• rasbt / python-machine-learning-book-2nd-edition
  The "Python Machine Learning (2nd edition)" book code repository and info resource
  ☆7,188Updated 5 years ago
• merwan / ml-class
  Machine learning programming exercises
  ☆315Updated 8 years ago
• juanklopper / MIT_OCW_Linear_Algebra_18_06
  IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
  ☆564Updated last year
• Benlau93 / Machine-Learning-by-Andrew-Ng-in-Python
  Documenting my python implementation of Andrew Ng's Machine Learning course
  ☆312Updated 6 years ago
• Hezi-Resheff / Oreilly-Learning-TensorFlow
  ☆411Updated 6 years ago