Alternatives and similar repositories for dss-scaling-tutorial

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

• 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-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 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
• dchudz / pycon2015-kaggle-tutorial
  ☆27Updated 10 years ago
• GaelVaroquaux / sklearn_europython_2014
  Scikit-learn Tutorial at EuroPython 2014
  ☆43Updated 6 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 10 years ago
• chendaniely / scipy_2016_notes
  ☆52Updated 9 years ago
• amueller / pydata-strata-2015
  Slides and notebooks for PyData Strata San Jose
  ☆50Updated 10 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• mike-perdide / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆47Updated 14 years ago
• dolaameng / deeplearning-exploration
  Explore different deep-learning frameworks
  ☆18Updated 7 years ago
• coristig / sharks
  ☆10Updated 8 years ago
• mirri66 / xgbmagic
  ☆190Updated 2 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• Britefury / deep-learning-tutorial-pydata
  Deep learning tutorial for PyData
  ☆85Updated 6 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 7 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• jseabold / pydata-chi-docker
  ☆14Updated 5 years ago
• sarguido / k-means-clustering
  Repository for my 'K-Means Clustering with Scikit-Learn' talk materials.
  ☆43Updated 6 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 11 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆74Updated 7 years ago
• dolaameng / tutorials
  different types of tutorials, such as machine learning, image processing and etc.
  ☆102Updated 9 years ago
• phunterlau / kaggle_higgs
  My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)
  ☆82Updated 10 years ago
• Far0n / kaggle-lmgpip
  Top15 Solution for Kaggle-Competition "Liberty Mutual Group: Property Inspection Prediction"
  ☆50Updated 9 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago
• bugra / pydata-nyc-2014
  Pydata NYC 2014 Scikit Learn Tutorial
  ☆65Updated 10 years ago
• tdhopper / udacity-deep-learning
  Install directions and example notebooks for Udacity's Deep Learning classes
  ☆28Updated 9 years ago
• amueller / odscon-sf-2015
  Material for ODSCON San Francisco 2015
  ☆79Updated 9 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago