Alternatives and similar repositories for Custom-KeenIO-Template:

Users that are interested in Custom-KeenIO-Template are comparing it to the libraries listed below

• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 6 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 7 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
• jcbozonier / PyData2015
  ☆41Updated 9 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 9 years ago
• ellisonbg / talk-2014-strata-sc
  My talk at Strata 2014 in Santa Clara, CA
  ☆73Updated 10 years ago
• ottogroup / kaggle
  Additional files for the Otto Group Challenge hosted by Kaggle
  ☆36Updated 9 years ago
• thedataincubator / practical-ml
  ☆24Updated 6 years ago
• zygmuntz / kaggle-happiness
  Predicting happiness from demographics and poll answers
  ☆45Updated 8 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 6 years ago
• abhishekkrthakur / walmart2015
  ☆26Updated 9 years ago
• msukmanowsky / pyconca-2016-spark-tutorial
  Materials for Mike's PyCon Canada 2016 PySpark Tutorial
  ☆12Updated 8 years ago
• dsaber / py-viz-blog
  Code for Pythonic visualization blog post
  ☆40Updated 7 years ago
• bugra / pydata-dal-2015
  Pydata Dallas 2015 Scikit-Learn Tutorial
  ☆62Updated 9 years ago
• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 8 years ago
• cmmalone / malone_OpenDataSciCon
  repository for code related to the end-to-end data analysis in python workshop, from the Open Data Science Conference 2015
  ☆15Updated 9 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 7 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 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
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 8 years ago
• cambridgecoding / pydata-tutorial
  Files for London PyData London, 2015
  ☆15Updated 9 years ago
• a-campbell / widgetsapp
  How to Bootstrap Internal Applications With IPython Widgets (PyData 2015)
  ☆19Updated 9 years ago
• mdagost / pug_classifier
  Deep Learning for Pugs
  ☆74Updated 7 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆30Updated 6 years ago
• stevesimmons / PyData-PandasFromTheInside
  Tutorial session from PyData London, Fri 6 May 2016
  ☆11Updated 8 years ago
• walterreade / PyNotes
  ☆22Updated 5 years ago
• bugra / pydata-seattle-2015
  Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks
  ☆21Updated 9 years ago
• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆24Updated 9 years ago
• pprett / pydata-gbrt-tutorial
  IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"
  ☆63Updated 7 years ago
• mkliegl / kaggle-Facebook-V
  Second place solution for Facebook V competition on Kaggle
  ☆77Updated 8 years ago