jfpuget / Tidy-Data
Python code for Hadley Whickham's article on Tidy Data.
☆34Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for Tidy-Data
- Common post-estimation tasks for scikit-learn☆17Updated 7 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- Materials for my talk at PyData Chicago 2016☆20Updated 7 years ago
- Materials for talk on scikit-learn☆27Updated 9 years ago
- JupyterCon Missing Data Talk 2018☆23Updated 6 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- repository for code related to the end-to-end data analysis in python workshop, from the Open Data Science Conference 2015☆15Updated 9 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 9 years ago
- Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Updated 8 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆73Updated 8 years ago
- Code for Pythonic visualization blog post☆40Updated 7 years ago
- ☆22Updated 5 years ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆21Updated 7 years ago
- ☆24Updated 6 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆19Updated 7 years ago
- Miscellaneous Jupyter Notebooks for my course.☆22Updated 8 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- ☆26Updated 8 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 7 years ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 6 years ago
- PyDataLondonTutorial☆26Updated 8 years ago
- Material for the statistics in Python tutorial☆42Updated 9 years ago
- Bayesian statistics seminars☆30Updated 7 years ago
- Introduction to Python for Data Science☆39Updated 7 years ago
- Tutorial for Funcitonal Python tutorial at PyData-NYC 2013☆48Updated 10 years ago
- Scripts to Analyze Pronto's Data Release☆25Updated 9 years ago
- 💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017☆23Updated 7 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 6 years ago