Alternatives and similar repositories for FreeML

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

• jayinai / ml-interview
  Preparing for machine learning interviews
  ☆905Updated 3 years ago
• hse-aml / competitive-data-science
  Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
  ☆659Updated 5 years ago
• jayinai / data-science-question-answer
  A repo for data science related questions and answers
  ☆2,427Updated 3 years ago
• theainerd / MLInterview
  A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
  ☆538Updated 4 years ago
• JifuZhao / 120-DS-Interview-Questions
  My Answer to 120 Data Science Interview Questions
  ☆503Updated 5 years ago
• AllenCX / DS-ML-Interview-Questions
  An Personal Note for DS/ML interview questions
  ☆121Updated 7 years ago
• jayinai / kaggle-classification
  A compiled list of kaggle competitions and their winning solutions for classification problems.
  ☆273Updated 9 years ago
• stasi009 / TakeHomeDataChallenges
  My solution to the book <A collection of Data Science Take-home Challenges>
  ☆988Updated 3 years ago
• bjherger / Uber-DS-Challenge
  Uber provided Data Science take home
  ☆92Updated 9 years ago
• SudalaiRajkumar / Kaggle
  Codes for Kaggle Competitions
  ☆517Updated 8 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆303Updated 6 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆865Updated 5 years ago
• zhiqiangzhongddu / Data-Science-Interview-Questions-and-Answers-General-
  Data Science Questions and Answers (General) for beginner
  ☆222Updated 8 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆296Updated 7 years ago
• madhug-nadig / Machine-Learning-Algorithms-from-Scratch
  Implementing machine learning algorithms from scratch.
  ☆388Updated 4 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆328Updated 2 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆578Updated 2 years ago
• airalcorn2 / Michael-s-Data-Science-Curriculum
  This is the companion curriculum to my guide to becoming a data scientist.
  ☆404Updated last year
• AstronomerAmber / ML_prep
  Machine Learning interview prep guide
  ☆418Updated 5 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆238Updated 5 years ago
• JifuZhao / DS-Take-Home
  My solution to the book A Collection of Data Science Take-Home Challenges
  ☆1,713Updated 6 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…
  ☆262Updated 9 years ago
• siddhujetty / Product-analytics-insights-collection
  My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.
  ☆79Updated 6 years ago
• tuanavu / coursera-university-of-washington
  University of Washington
  ☆327Updated 8 years ago
• hse-aml / intro-to-dl
  Resources for "Introduction to Deep Learning" course.
  ☆759Updated 5 years ago
• llSourcell / Data_Science_Interview_Guide
  These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube
  ☆247Updated 5 years ago
• robert8138 / python-deliberate-practice
  Deliberate Practice for Learning Python
  ☆550Updated 9 months ago
• jayinai / ml-cheatsheet
  A constantly updated python machine learning cheatsheet
  ☆167Updated 8 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆149Updated 9 years ago
• jessicayung / machine-learning-nd
  Udacity's Machine Learning Nanodegree project files and notes.
  ☆254Updated 9 years ago