Alternatives and similar repositories for tutorials

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

• 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
• llSourcell / Convolutional_neural_network
  This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube
  ☆368Updated 6 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
  ☆288Updated 2 years ago
• Kulbear / deep-learning-nano-foundation
  Udacity's Deep Learning Nano Foundation program.
  ☆394Updated 8 years ago
• Dataweekends / zero_to_deep_learning_video
  Repository for the Zero to Deep Learning® Video Course
  ☆335Updated last year
• shreyans29 / thesemicolon
  This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
  ☆392Updated 4 years ago
• udacity / aind2-cnn
  AIND Term 2 -- Lesson on Convolutional Neural Networks
  ☆253Updated 3 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆448Updated 4 years ago
• llSourcell / Classifying_Data_Using_a_Support_Vector_Machine
  This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
  ☆218Updated 6 years ago
• udacity / dog-project
  ☆184Updated 3 years ago
• chribsen / simple-machine-learning-examples
  This repo contains simple machine learning examples using scikit-learn and Python.
  ☆157Updated 6 years ago
• tuanavu / coursera-university-of-washington
  University of Washington
  ☆328Updated 7 years ago
• mattnedrich / GradientDescentExample
  Example demonstrating how gradient descent may be used to solve a linear regression problem
  ☆542Updated 2 years ago
• jessicayung / machine-learning-nd
  Udacity's Machine Learning Nanodegree project files and notes.
  ☆253Updated 8 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆124Updated 8 years ago
• udacity / AIND-NLP
  Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
  ☆241Updated 3 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
• udacity / NLP-Exercises
  ☆198Updated 3 years ago
• mcleonard / blog_posts
  Blog posts for matatat.org
  ☆187Updated 6 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆863Updated 4 years ago
• anirudhjayaraman / Machine-Learning
  Repo cataloging my coursework for Andrew Ng's ML MOOC
  ☆145Updated 5 years ago
• llSourcell / Intro_to_the_Math_of_intelligence
  This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube
  ☆154Updated 6 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
• ziyanfeng / udacity-ml-nanodegree
  Projects for Udacity's Machine Learning Engineer Nanodegree
  ☆31Updated 8 years ago
• udacity / AIND-Sudoku
  ☆156Updated 3 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆325Updated last year
• corykendrick / fastai_in_colab
  I'll be working through the Fast.ai courses entirely in Google Colab notebooks. I'll publish them here!
  ☆98Updated 6 years ago
• amirziai / deep-learning-coursera
  Deep Learning Andrew Ng Coursera
  ☆35Updated 7 years ago
• romeokienzler / ibm-developer
  ☆113Updated 3 years ago
• ageron / awesome-tensorflow
  TensorFlow - A curated list of dedicated resources http://tensorflow.org
  ☆87Updated 7 years ago