Alternatives and similar repositories for office-nfl-pool

Users that are interested in office-nfl-pool are comparing it to the libraries listed below

• gjreda / pydata2015sea
  Materials for my PyData Seattle talk
  ☆21Updated 10 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 9 years ago
• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆23Updated 10 years ago
• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆64Updated 8 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 9 years ago
• wrobstory / pdxpython2015
  Portland Python Meetup March 2015
  ☆40Updated 10 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 8 years ago
• gjreda / cy-young-NL-2015
  Using data to dig into the 2015 NL Cy Young race
  ☆10Updated 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
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 7 months ago
• rosskipp / data-projects
  A place for my data sciencey related projects
  ☆19Updated 6 years ago
• jreback / PyDataNYC2015
  PyData NYC 2015 conference
  ☆94Updated 10 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 4 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 7 years ago
• gkamradt / Zipfian-GSchool
  12 Week Data Science Immersive
  ☆28Updated 10 years ago
• ojedatony1616 / exploratory_transformation
  Repository for exploratory data transformation & visualization talk
  ☆27Updated 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.
  ☆68Updated 11 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 10 years ago
• seanjtaylor / NFLRanking
  Ranking NFL teams
  ☆48Updated 12 years ago
• klarsen1 / NBA_RANKINGS
  ☆74Updated 5 years ago
• jcbozonier / PyData2015
  ☆41Updated 10 years ago
• krasch / presentations
  Material for some talks I have given
  ☆62Updated last year
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 10 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• savvastj / nbaPlayerTracking
  ☆53Updated 10 years ago
• CamDavidsonPilon / StartupFiles
  My IPython startup files.
  ☆109Updated 10 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 10 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 10 years ago
• glamp / ggplot-tutorial
  ☆69Updated 10 years ago