reshamas / git-intro-workshopLinks
Git Intro Tutorial
☆78Updated 5 months ago
Alternatives and similar repositories for git-intro-workshop
Users that are interested in git-intro-workshop are comparing it to the libraries listed below
Sorting:
- Machine learning fundamentals lesson in interactive notebooks☆179Updated 4 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆160Updated 2 years ago
- Matt Brems' Missing Data Workshop☆83Updated 2 years ago
- Learn how to build a data analysis library from scratch☆204Updated 3 years ago
- The Hitchhiker's Guide to Data Science for Social Good☆1,029Updated 2 years ago
- scikit-learn sprint docs☆185Updated last year
- Collected opinions and advice for academic programs focused on data science skills.☆443Updated 5 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆311Updated 5 years ago
- Proceedings of the Center for Data Scientists arguing (about) Public Papers☆17Updated 6 years ago
- List of datasets to apply stats/machine learning/technology to the world of social good.☆246Updated 4 years ago
- Production Data Science: a workflow for collaborative data science aimed at production☆454Updated 5 years ago
- The course work for the applied machine learning course I am teaching at BYU☆136Updated 4 years ago
- 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
- List of Machine Learning & Data Science Conferences☆82Updated 5 years ago
- Data Science Resources☆79Updated 4 months ago
- A starter kit for new chapters of WiMLDS☆43Updated 8 months ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆182Updated last year
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆155Updated 4 years ago
- Tutorial given at PyData LA 2018☆97Updated 11 months ago
- Open Data Science Conference East, 2018: Data Science with Missing Data☆66Updated 7 years ago
- Experimenting with and teaching probabilistic programming☆104Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆120Updated 4 years ago
- Up Your Bus Number: A Primer for Reproducible Data Science☆69Updated 6 years ago
- Applied Machine Learning with Python☆80Updated last year
- Today I Learned Some Computer Stuff☆39Updated 7 years ago
- How to do Bayesian statistical modelling using numpy and PyMC3☆666Updated 3 years ago
- Notes from Introduction to Statistical Learning☆117Updated 7 years ago
- A command line tool to easily add an ethics checklist to your data science projects.☆299Updated last year
- Collection of stats, modeling, and data science tools in Python and R.☆219Updated 5 months ago