Alternatives and similar repositories for scipy_2016_notes:

Users that are interested in scipy_2016_notes are comparing it to the libraries listed below

• chdoig / dss-scaling-tutorial
  ☆28Updated 8 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 9 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 8 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
• T-002 / pycast
  Python forecasting and smoothing library
  ☆67Updated 5 years ago
• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆24Updated 9 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 6 years ago
• jreback / PyDataNYC2015
  PyData NYC 2015 conference
  ☆94Updated 9 years ago
• bugra / pydata-nyc-2014
  Pydata NYC 2014 Scikit Learn Tutorial
  ☆64Updated 10 years ago
• wrobstory / pydataseattle2015
  PyData Seattle 2015: Python Data Bikeshed
  ☆127Updated 9 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 9 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 6 years ago
• mirri66 / xgbmagic
  ☆190Updated last year
• krasch / presentations
  Material for some talks I have given
  ☆62Updated 5 months ago
• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆64Updated 7 years ago
• chdoig / scipy2015-blaze-bokeh
  Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015
  ☆144Updated 9 years ago
• unnati-xyz / luigi-sample
  Sample repo for luigi tasks & config
  ☆36Updated 8 years ago
• tdhopper / pythonplot.com
  📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…
  ☆107Updated 3 years ago
• jcbozonier / PyData2015
  ☆41Updated 9 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 10 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• numb3r33 / Kaggle-Competitions
  All Kaggle competitions
  ☆91Updated 8 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• jbrambleDC / simulacrum
  ☆84Updated 6 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 9 years ago
• deeplook / pydata_berlin2016_materials
  Collection of pointers to slides and repositories from speakers at PyData Berlin 2016
  ☆37Updated 8 years ago
• wrobstory / pdxpython2015
  Portland Python Meetup March 2015
  ☆40Updated 9 years ago
• mrocklin / dask-workshop
  ☆28Updated 7 years ago
• mortehu / text-classifier
  Creates models to classify documents into categories
  ☆66Updated 7 years ago