Alternatives and similar repositories for cookiecutter-kaggle:

Users that are interested in cookiecutter-kaggle are comparing it to the libraries listed below

• uberwach / kaggle-berlin
  Material of the Kaggle Berlin meetup group!
  ☆35Updated 7 years ago
• jfpuget / Tidy-Data
  Python code for Hadley Whickham's article on Tidy Data.
  ☆34Updated 8 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 7 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆47Updated 4 years ago
• mikepqr / serverless-for-data-scientists
  Code and notebooks for a talk given at PyBay, 2018-08-19
  ☆48Updated 3 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 9 years ago
• peterhurford / vowpal_platypus
  Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit
  ☆21Updated 6 years ago
• dask / old-dask-examples
  Collection of dask example notebooks
  ☆58Updated 7 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 8 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 7 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆55Updated 9 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• zygmuntz / kaggle-happiness
  Predicting happiness from demographics and poll answers
  ☆45Updated 8 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 5 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 7 years ago
• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 8 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆37Updated 5 years ago
• jnmclarty / validada
  Another library for defensive data analysis.
  ☆27Updated 6 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 9 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• deeplook / pydata_berlin2016_materials
  Collection of pointers to slides and repositories from speakers at PyData Berlin 2016
  ☆37Updated 8 years ago
• jupyter-incubator / proposals
  Proposals for new Jupyter subprojects to enter into incubation
  ☆18Updated 4 years ago
• bugra / pydata-seattle-2015
  Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks
  ☆21Updated 9 years ago
• pydataberlin / conf2017slides
  ☆57Updated 7 years ago
• kzuiderveld / deeplearning1
  Experiments for Jeremy Howard's deep learning courses
  ☆39Updated 7 years ago
• twiecki / pydata_docker_jupyterhub
  Docker container with a PyData stack and JupyterHub server
  ☆37Updated 8 years ago
• mrocklin / pydata-toolz
  Tutorial for Funcitonal Python tutorial at PyData-NYC 2013
  ☆48Updated 10 years ago