Alternatives and similar repositories for nyc-2019-scikit-sprint

Users that are interested in nyc-2019-scikit-sprint are comparing it to the libraries listed below

• GeorgeMcIntire / collection_free_DL_resources
  My exhaustive repo of free deep learning resources
  ☆50Updated 8 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• amueller / ml-workshop-short
  Two hour interactive machine learning workshop
  ☆22Updated 5 years ago
• wimlds / starter-kit
  A starter kit for new chapters of WiMLDS
  ☆43Updated 10 months ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆156Updated 4 years ago
• rnditdev / PyData_London_2018_Computer_Vision
  These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018
  ☆30Updated 7 years ago
• trallard / ReproduciblePython
  Workshop materials for PyCon 2018 workshop on reproducible analysis in Python
  ☆111Updated 6 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 5 years ago
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆37Updated 5 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 9 years ago
• wimlds / conferences
  List of Machine Learning & Data Science Conferences
  ☆82Updated 5 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆37Updated 5 years ago
• mmmayo13 / scikit-learn-classifiers
  An introduction to implementing a number of scikit-learn classifiers, along with some data exploration
  ☆102Updated 9 years ago
• TomAugspurger / dask-tutorial-odsc-2018
  ☆15Updated 2 years ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 5 years ago
• DeltaAnalytics / machine_learning_resources
  Delta believes in building technical capacity all over the world. We believe that data is powerful, and that anybody should be able to ha…
  ☆25Updated 7 years ago
• szilard / teach-data-science-UCLA-master-appl-stats
  Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
  ☆137Updated 8 years ago
• mikepqr / serverless-for-data-scientists
  Code and notebooks for a talk given at PyBay, 2018-08-19
  ☆49Updated 4 years ago
• d6t / d6tflow-template
  Project template for highly effective data science workflows
  ☆29Updated last year
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• lgraesser / Neural-Networks-Workshop-Materials-WiMLDS
  Materials for Neural Networks Workshop, January 21 2017, WiMLDS
  ☆15Updated 8 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆31Updated 9 years ago
• mrocklin / pydata-nyc-2018-tutorial
  ☆36Updated 6 years ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆118Updated 7 years ago
• minrk / jupyterhub-pydata-2016
  ☆66Updated 9 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• jesford / testing-in-data-science
  Intro to Testing in Data Science Tutorial
  ☆36Updated 3 years ago