Alternatives and similar repositories for tutorials

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

• 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
  ☆293Updated 3 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
• jessicayung / machine-learning-nd
  Udacity's Machine Learning Nanodegree project files and notes.
  ☆254Updated 9 years ago
• shreyans29 / thesemicolon
  This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
  ☆395Updated 5 years ago
• udacity / dog-project
  ☆184Updated 3 years ago
• anirudhjayaraman / Machine-Learning
  Repo cataloging my coursework for Andrew Ng's ML MOOC
  ☆146Updated 5 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
  ☆367Updated 6 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
  ☆334Updated last year
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆447Updated 4 years ago
• udacity / artificial-intelligence
  ☆473Updated last year
• llSourcell / The_Math_of_Intelligence
  This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"
  ☆394Updated 8 years ago
• Qian-Han / coursera-Deep-Learning-Specialization
  This course is created by deeplearning.ai. Master Deep Learning, and Break into AI
  ☆86Updated 7 years ago
• ritchieng / ritchieng.github.io
  My personal repository of notes served through Github pages at www.ritchieng.com
  ☆69Updated last month
• mcleonard / blog_posts
  Blog posts for matatat.org
  ☆188Updated 6 years ago
• udacity / NLP-Exercises
  ☆197Updated 3 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
  ☆192Updated last year
• udacity / AIND-NLP
  Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
  ☆241Updated 3 years ago
• chribsen / simple-machine-learning-examples
  This repo contains simple machine learning examples using scikit-learn and Python.
  ☆158Updated 6 years ago
• rhnvrm / machine-learning-nanodegree
  Project Portfolio for Machine Learning Nanodegree by Udacity
  ☆17Updated 8 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
  ☆221Updated 6 years ago
• adashofdata / muffin-cupcake
  classifying muffin and cupcake recipes using support vector machines
  ☆192Updated 3 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated 2 years ago
• ziyanfeng / udacity-ml-nanodegree
  Projects for Udacity's Machine Learning Engineer Nanodegree
  ☆31Updated 9 years ago
• tensorflow / workshops
  A few exercises for use at events.
  ☆1,440Updated 4 years ago
• ishgirwan / faqs_pytorch_scholarship
  FAQs in Slack channel of Udacity's PyTorch Scholarship Challenge.
  ☆100Updated 6 years ago
• juincc0 / python_data_science_and_machine_learning_bootcamp
  Jupyter notebook for Udemy course: Python data science and machine learning bootcamp
  ☆225Updated 8 years ago
• Dpananos / GetCards
  Notebook to download machine learning flashcards
  ☆456Updated 5 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆126Updated 9 years ago
• udacity / aind2-cnn
  AIND Term 2 -- Lesson on Convolutional Neural Networks
  ☆255Updated 3 years ago