Alternatives and similar repositories for git-intro-workshop

Users that are interested in git-intro-workshop are comparing it to the libraries listed below

• matthewbrems / missing-data-workshop
  Matt Brems' Missing Data Workshop
  ☆83Updated 2 years ago
• shreyashankar / datasets-for-good
  List of datasets to apply stats/machine learning/technology to the world of social good.
  ☆247Updated 4 years ago
• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆179Updated 4 years ago
• data-umbrella / data-umbrella-scikit-learn-sprint
  scikit-learn sprint docs
  ☆185Updated last year
• tfolkman / byu_econ_applied_machine_learning
  The course work for the applied machine learning course I am teaching at BYU
  ☆136Updated 4 years ago
• wimlds / starter-kit
  A starter kit for new chapters of WiMLDS
  ☆43Updated 9 months ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• datacamp / COVID-19-EDA-tutorial
  This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE]…
  ☆159Updated 5 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• pdeguzman96 / data_cleaning_workshop
  Created the contents of this repo originally for a workshop I gave at UCLA
  ☆112Updated 5 years ago
• wimlds / conferences
  List of Machine Learning & Data Science Conferences
  ☆82Updated 5 years ago
• dssg / hitchhikers-guide
  The Hitchhiker's Guide to Data Science for Social Good
  ☆1,032Updated 2 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 5 years ago
• drivendataorg / box-plots-sklearn
  An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
  ☆298Updated 6 years 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
• risenW / datasist
  A Python library for easy data analysis, visualization, exploration and modeling
  ☆159Updated 2 years ago
• brohrer / academic_advisory
  Collected opinions and advice for academic programs focused on data science skills.
  ☆441Updated 5 years ago
• jbernhard-nw / rec-workshop
  Getting started
  ☆19Updated 5 years ago
• moovai / model_validation_tutorial
  Tutorial of machine learning model validation
  ☆15Updated 2 years ago
• tdpetrou / pandas_cub
  Learn how to build a data analysis library from scratch
  ☆204Updated 3 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
• shilpa9a / Introduction_to_statistical_learning_summary_python
  Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
  ☆185Updated last year
• drivendataorg / deon
  A command line tool to easily add an ethics checklist to your data science projects.
  ☆299Updated last year
• reshamas / ds_resources
  Data Science Resources
  ☆79Updated 5 months ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• rajshah4 / inter_workshop
  Workshop materials for ODSC 2019 Interpretability Talk
  ☆25Updated 5 years ago
• discdiver / list-of-python-api-wrappers
  List of Python API Wrappers and Libraries
  ☆123Updated last year
• jupyter-guide / ten-rules-jupyter
  Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
  ☆259Updated last year
• zirmite / odsc-2022-statistics
  Repo for the "Statistics for Data Science" workshop at ODSC West 2022
  ☆17Updated 2 years ago
• FilippoBovo / production-data-science
  Production Data Science: a workflow for collaborative data science aimed at production
  ☆454Updated 5 years ago