Alternatives and similar repositories for tutorials

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

• dvysardana / RecommenderSystems_PyData_2016
  ☆179Updated 8 years ago
• Kulbear / deep-learning-nano-foundation
  Udacity's Deep Learning Nano Foundation program.
  ☆395Updated 7 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
  ☆286Updated 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…
  ☆432Updated 3 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆444Updated 3 years ago
• udacity / artificial-intelligence
  ☆464Updated 10 months ago
• llSourcell / Intro_to_the_Math_of_intelligence
  This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube
  ☆155Updated 6 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆324Updated 2 years ago
• udacity / dog-project
  ☆185Updated 2 years ago
• udacity / AIND-NLP
  Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
  ☆241Updated 2 years ago
• authman / DAT210x
  Programming with Python for Data Science Microsoft
  ☆138Updated 6 years ago
• jessicayung / machine-learning-nd
  Udacity's Machine Learning Nanodegree project files and notes.
  ☆253Updated 8 years ago
• mattnedrich / GradientDescentExample
  Example demonstrating how gradient descent may be used to solve a linear regression problem
  ☆540Updated 2 years ago
• llSourcell / The_Math_of_Intelligence
  This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"
  ☆395Updated 7 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
  ☆193Updated last year
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆511Updated 7 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆516Updated 6 years ago
• udacity / aind2-cnn
  AIND Term 2 -- Lesson on Convolutional Neural Networks
  ☆254Updated 2 years ago
• udacity / DSND_Term1
  Contains files related to content and project of DSND
  ☆249Updated 2 years ago
• savanpatel / machine-learning-101
  A repository related to datasets for Machine Learning.
  ☆138Updated 6 years ago
• udacity / rl-cheatsheet
  RL Notation and Pseudocode for Udacity's MLND program
  ☆266Updated 2 years ago
• llSourcell / Move_37_Syllabus
  This is the syllabus for "Move 37", Siraj Raval's new course at School of AI
  ☆216Updated 6 years ago
• shreyans29 / thesemicolon
  This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
  ☆392Updated 4 years ago
• ziyanfeng / udacity-ml-nanodegree
  Projects for Udacity's Machine Learning Engineer Nanodegree
  ☆31Updated 8 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆41Updated 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…
  ☆258Updated 8 years ago
• udacity / aind2-nlp-capstone
  ☆54Updated 2 years ago
• Dataweekends / zero_to_deep_learning_video
  Repository for the Zero to Deep Learning® Video Course
  ☆335Updated last year
• mbernico / CS570
  Code for CS570, Essentials of Data Science
  ☆109Updated 7 years ago
• allanbreyes / udacity
  Archived work from Udacity nanodegrees
  ☆70Updated 3 years ago