Alternatives and similar repositories for dss-scaling-tutorial:

Users that are interested in dss-scaling-tutorial are comparing it to the libraries listed below

• chendaniely / scipy_2016_notes
  ☆52Updated 8 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 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 / pydata-strata-2015
  Slides and notebooks for PyData Strata San Jose
  ☆50Updated 10 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 7 years ago
• bugra / pydata-nyc-2014
  Pydata NYC 2014 Scikit Learn Tutorial
  ☆64Updated 10 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 10 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆24Updated 9 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 9 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• amueller / quick-ml-intro
  One hour interactive training for ML with scikit-learn
  ☆74Updated 7 years ago
• amueller / odscon-sf-2015
  Material for ODSCON San Francisco 2015
  ☆79Updated 9 years ago
• vmirly / DataScience
  ☆66Updated last year
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• bugra / pydata-dal-2015
  Pydata Dallas 2015 Scikit-Learn Tutorial
  ☆62Updated 9 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 7 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 10 years ago
• amueller / ml_meetup_nyc_2016
  Material for Machine Learning Meetup "Machine Learning with Scikit-learn"
  ☆29Updated 9 years ago
• GaelVaroquaux / sklearn_europython_2014
  Scikit-learn Tutorial at EuroPython 2014
  ☆43Updated 6 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 9 years ago
• ogrisel / spylearn
  Repo for experiments on pyspark and sklearn
  ☆79Updated 11 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 8 years ago
• jcbozonier / PyData2015
  ☆41Updated 9 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• mirri66 / xgbmagic
  ☆190Updated last year
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 9 years ago
• Far0n / kaggle-lmgpip
  Top15 Solution for Kaggle-Competition "Liberty Mutual Group: Property Inspection Prediction"
  ☆50Updated 9 years ago