tdhopper / Data-Science-Conference-BingoLinks
Inspired by John Foreman. Created by the crowds.
☆54Updated 2 years ago
Alternatives and similar repositories for Data-Science-Conference-Bingo
Users that are interested in Data-Science-Conference-Bingo are comparing it to the libraries listed below
Sorting:
- Python solver for mixed-effects models☆97Updated 4 months ago
- ☆26Updated 9 years ago
- ☆32Updated 8 years ago
- Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Updated 9 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 10 years ago
- ☆28Updated 8 years ago
- Python code for Hadley Whickham's article on Tidy Data.☆35Updated 9 years ago
- ☆24Updated 6 years ago
- UW Software Engineering for Data Science Website☆21Updated this week
- Materials for the R Programming Workshop that I teach at The University of Chicago☆34Updated 9 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆58Updated 10 years ago
- PyDataLondonTutorial☆26Updated 9 years ago
- An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.☆16Updated 8 years ago
- Modeling Social Data, Applied Mathematics, Columbia University (Spring 2015)☆33Updated 6 years ago
- ☆46Updated 2 months ago
- ☆41Updated 10 years ago
- Code for Pythonic visualization blog post☆40Updated 8 years ago
- Presentations from meetups and conferences☆18Updated 5 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆21Updated 8 years ago
- The Fallacy of Placing Confidence in Confidence Intervals☆37Updated 10 years ago
- Miscellaneous Jupyter Notebooks for my course.☆24Updated 9 years ago
- Materials for talk on scikit-learn☆28Updated 9 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 8 years ago
- The Path of the PyData Ninja☆16Updated 10 years ago
- A compendium of the pitfalls and problems that arise when using standard statistical methods☆247Updated 11 years ago
- This repository contains the course materials for the tutorial "Supercharge Your data Analysis with R"☆22Updated 9 years ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 10 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆110Updated 4 years ago
- ☆69Updated 9 years ago