Alternatives and similar repositories for pydata-amsterdam-2016

Users that are interested in pydata-amsterdam-2016 are comparing it to the libraries listed below

• 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
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• chdoig / dss-scaling-tutorial
  ☆28Updated 9 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• amueller / pydata-strata-2015
  Slides and notebooks for PyData Strata San Jose
  ☆50Updated 10 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 10 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• dchudz / pycon2015-kaggle-tutorial
  ☆27Updated 10 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• bugra / pydata-nyc-2014
  Pydata NYC 2014 Scikit Learn Tutorial
  ☆65Updated 10 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 9 years ago
• GaelVaroquaux / sklearn_europython_2014
  Scikit-learn Tutorial at EuroPython 2014
  ☆43Updated 6 years ago
• chendaniely / scipy_2016_notes
  ☆52Updated 9 years ago
• zygmuntz / kaggle-happiness
  Predicting happiness from demographics and poll answers
  ☆45Updated 8 years ago
• GaelVaroquaux / sklearn_pandas_tutorial
  EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn
  ☆85Updated 11 years ago
• PythonWorkshop / intro-to-sklearn
  Notebooks covering introductory material to ML, ML with sklearn and tips.
  ☆77Updated 6 years ago
• gjreda / cy-young-NL-2015
  Using data to dig into the 2015 NL Cy Young race
  ☆10Updated 9 years ago
• rouseguy / intro2deeplearning
  Introduction to Deep Learning
  ☆126Updated 9 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago
• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆64Updated 8 years ago
• Britefury / deep-learning-tutorial-pydata
  Deep learning tutorial for PyData
  ☆85Updated 6 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆49Updated 10 years ago
• jrmontag / mnist-sklearn
  Code and notes from using scikit-learn on the MNIST digits dataset. For more of a narrative on this project, see the article:
  ☆29Updated 9 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• tdhopper / udacity-deep-learning
  Install directions and example notebooks for Udacity's Deep Learning classes
  ☆28Updated 9 years ago
• pprett / pydata-gbrt-tutorial
  IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"
  ☆63Updated 8 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 10 years ago
• diefimov / west_nile_virus_2015
  the 2nd place solution for West Nile Virus Prediction challenge on Kaggle
  ☆36Updated 10 years ago
• yhat / beer-bandit
  Flask app to run a bandit algorithm testing different beer recommenders
  ☆25Updated 11 years ago