Alternatives and similar repositories for userguide

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

• turi-code / how-to
  How-To code samples for working with GraphLab Create.
  ☆207Updated 8 years ago
• turi-code / tutorials
  This repository contains materials for demos, tutorials, and talks by Dato Inc.
  ☆172Updated 8 years ago
• turi-code / GraphLab-Create-SDK
  SDK for Turi's GraphLab Create.
  ☆149Updated 7 years ago
• mkliegl / kaggle-Facebook-V
  Second place solution for Facebook V competition on Kaggle
  ☆77Updated 8 years ago
• gatapia / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆182Updated 2 years ago
• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆69Updated 10 years ago
• amueller / odscon-sf-2015
  Material for ODSCON San Francisco 2015
  ☆79Updated 9 years ago
• mdagost / pug_classifier
  Deep Learning for Pugs
  ☆74Updated 7 years ago
• lamblin / bayareadlschool
  Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016
  ☆114Updated 8 years ago
• ogrisel / notebooks
  Some sample IPython notebooks for scikit-learn
  ☆567Updated last year
• MLWave / kaggle-criteo
  Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge
  ☆97Updated 10 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• mlandry22 / kaggle
  Public Kaggle Code and Info
  ☆43Updated 9 years ago
• ottogroup / kaggle
  Additional files for the Otto Group Challenge hosted by Kaggle
  ☆37Updated 10 years ago
• spark-mooc / mooc-setup
  Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course
  ☆349Updated 4 years ago
• bugra / pydata-nyc-2014
  Pydata NYC 2014 Scikit Learn Tutorial
  ☆65Updated 10 years ago
• christophebourguignat / notebooks
  ☆160Updated 8 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 11 years ago
• craffel / theano-tutorial
  A collection of tutorials on neural networks, using Theano
  ☆222Updated 2 years ago
• Lab41 / ipython-spark-docker
  ☆146Updated 9 years ago
• yhat / DataGotham2013
  ☆213Updated 9 years ago
• zygmuntz / phraug2
  A new version of phraug, which is a set of simple Python scripts for pre-processing large files
  ☆206Updated 6 years ago
• ttvand / Facebook-V
  Cleaned code of the winning submission of the Kaggle Recruiting Competition
  ☆123Updated 5 years ago
• rcompton / ml_cheat_sheet
  My notes and superstitions about common machine learning algorithms
  ☆366Updated 8 years ago
• kvh / ramp
  Rapid Machine Learning Prototyping in Python
  ☆651Updated 9 years ago
• jseabold / depy
  DePy 2015 Talk
  ☆117Updated 7 years ago
• Prooffreader / intro_machine_learning
  Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video
  ☆102Updated 6 years ago
• thedataincubator / ds30
  Data Science in 30 Minutes
  ☆84Updated 9 years ago
• zygmuntz / kaggle-blackbox
  Deep learning made easy
  ☆116Updated 10 years ago
• geffy / kaggle-crowdflower
  Kaggle 'Search Results Relevance' 2nd place solution
  ☆79Updated 9 years ago