Alternatives and similar repositories for Dask_PyData_NYC

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

• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆64Updated 8 years ago
• gjreda / cy-young-NL-2015
  Using data to dig into the 2015 NL Cy Young race
  ☆10Updated 9 years ago
• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆24Updated 9 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 9 years ago
• jcbozonier / PyData2015
  ☆41Updated 10 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 8 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 8 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 9 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 8 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• tanyaschlusser / office-nfl-pool
  A fun introduction to Pandas andScikit-Learn using nfl data
  ☆45Updated 9 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 10 years ago
• gjreda / pydata2015sea
  Materials for my PyData Seattle talk
  ☆21Updated 9 years ago
• Quantia-Analytics / DyDataSF2016Visualization
  Materials for the PyData San Francisco 2016 visualization tutorial
  ☆14Updated 8 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• pprett / pydata-gbrt-tutorial
  IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"
  ☆63Updated 7 years ago
• danielfrg / copper
  Fast, easy and intuitive machine learning prototyping.
  ☆124Updated 11 years ago
• jseabold / statsmodels-tutorial
  Tutorial Created for SciPy 2012
  ☆58Updated 12 years ago
• ojedatony1616 / exploratory_transformation
  Repository for exploratory data transformation & visualization talk
  ☆27Updated 8 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
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• zygmuntz / kaggle-happiness
  Predicting happiness from demographics and poll answers
  ☆45Updated 8 years ago
• dask / old-dask-examples
  Collection of dask example notebooks
  ☆58Updated 7 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆20Updated 8 years ago
• GaelVaroquaux / sklearn_pandas_tutorial
  EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn
  ☆85Updated 10 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 10 years ago
• jfpuget / Tidy-Data
  Python code for Hadley Whickham's article on Tidy Data.
  ☆35Updated 8 years ago