Alternatives and similar repositories for IntroToHadoopAndMR__Udacity_Course

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

• machinelearningnanodegree / stanford-cs231
  Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…
  ☆263Updated 9 years ago
• airalcorn2 / Michael-s-Data-Science-Curriculum
  This is the companion curriculum to my guide to becoming a data scientist.
  ☆404Updated last year
• 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
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆238Updated 5 years ago
• jessicayung / machine-learning-nd
  Udacity's Machine Learning Nanodegree project files and notes.
  ☆254Updated 9 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆328Updated 2 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…
  ☆438Updated 4 years ago
• anirudhjayaraman / Machine-Learning
  Repo cataloging my coursework for Andrew Ng's ML MOOC
  ☆147Updated 5 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆331Updated 2 years ago
• cs109 / 2015lab1
  ☆215Updated 4 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆143Updated 7 years ago
• amitkaps / full-stack-data-science
  Full Stack Data Science in Python
  ☆259Updated 7 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆865Updated 5 years ago
• ShivamPanchal / Complete-CheatSheets
  This repo contains all the cheatsheets you need to keep handy, I will add more soon.
  ☆206Updated 6 years ago
• tjaskula / Coursera
  These are my learning exercices from Coursera
  ☆216Updated 4 years ago
• tuanavu / coursera-university-of-washington
  University of Washington
  ☆327Updated 8 years ago
• vivek2319 / Data-Science-From-Linkedin
  This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.
  ☆155Updated 3 years ago
• dataquestio / data-science-blogs
  A curated list of data science blogs
  ☆44Updated 6 years ago
• LilianYe / Andrew-Ng-Machine-Learning-Programming-solutions-
  open course on coursera.org Stanford University
  ☆51Updated 5 years ago
• maykulkarni / Machine-Learning-Curriculum
  Complete path for a beginner to become a Machine Learning Scientist!
  ☆345Updated 7 years ago
• LearnMachineLearning / the-math-of-intelligence
  List of resources & possible pathway for the Math of Machine Learning and AI.
  ☆415Updated 3 years ago
• Dpananos / GetCards
  Notebook to download machine learning flashcards
  ☆457Updated 5 years ago
• madhug-nadig / Machine-Learning-Algorithms-from-Scratch
  Implementing machine learning algorithms from scratch.
  ☆388Updated 4 years ago
• harunurrashid97 / 100-Days-Of-ML-Code
  A day to day plan for this challenge. Covers both theoritical and practical aspects
  ☆227Updated 3 years ago
• SudalaiRajkumar / DataScienceR
  a curated list of R tutorials for Data Science, NLP and Machine Learning
  ☆23Updated 9 years ago
• ziyanfeng / udacity-ml-nanodegree
  Projects for Udacity's Machine Learning Engineer Nanodegree
  ☆31Updated 9 years ago
• rmarquis / coursera-machinelearning
  Stanford University - Machine Learning by Andrew Ng
  ☆84Updated 7 years ago
• jayinai / kaggle-classification
  A compiled list of kaggle competitions and their winning solutions for classification problems.
  ☆273Updated 9 years ago
• the-deep-learners / study-group
  Deep Learning Study Group
  ☆330Updated 5 years ago
• oldclesleycode / deep-learning-python
  Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.
  ☆95Updated 8 years ago