Alternatives and similar repositories for cs207-2016

Users that are interested in cs207-2016 are comparing it to the libraries listed below

• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆128Updated 9 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 10 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆88Updated 7 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 8 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 7 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• sjqtentacles / open-source-machine-learning-degree
  Learn machine learning for free, because free is better than not-free.
  ☆229Updated 5 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆157Updated 6 years ago
• rouseguy / intro2deeplearning
  Introduction to Deep Learning
  ☆126Updated 10 years ago
• cliburn / sta-663-2016
  STA663 Statistical Computing and Computation, Spring 2016
  ☆87Updated 9 years ago
• kuleshov / cs228-notes
  Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)
  ☆30Updated 8 years ago
• craffel / theano-tutorial
  A collection of tutorials on neural networks, using Theano
  ☆220Updated 2 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆312Updated 4 years ago
• yandexdataschool / MLatImperial2017
  Materials for the course of machine learning at Imperial College organized by Yandex SDA
  ☆84Updated 8 years ago
• yala / introdeeplearning
  ☆265Updated 8 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 9 years ago
• thejakeyboy / umich-eecs545-lectures
  This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Ar…
  ☆223Updated 9 years ago
• carljv / Will_it_Python
  Translating R Data Analyses to Python
  ☆280Updated 7 years ago
• a913cb82 / CSML_notes
  UCL MSc Computational Statistics and Machine Learning Revision Notes
  ☆289Updated 7 years ago
• knathanieltucker / tf-keras-tutorial
  An introduction to tensorflow via keras
  ☆25Updated 8 years ago
• amueller / ml_meetup_nyc_2016
  Material for Machine Learning Meetup "Machine Learning with Scikit-learn"
  ☆29Updated 9 years ago
• gkamradt / Lessons-Learned-Data-Science-Interviews
  Lessons learned the hard way through over 30+ data science interviews
  ☆229Updated 5 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 9 years ago
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆319Updated 8 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆288Updated 8 years ago
• amueller / ml-training-intro
  Materials for the "Introduction to Machine Learning" class
  ☆227Updated 6 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 6 years ago
• fcrimins / fcrimins.github.io
  ☆92Updated 10 years ago
• DataTau / datascience-anthology-pydata
  PyData, The Complete Works of
  ☆298Updated 8 years ago