ryanjoneil / talksLinks
☆8Updated 7 years ago
Alternatives and similar repositories for talks
Users that are interested in talks are comparing it to the libraries listed below
Sorting:
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- Material for the statistics in Python tutorial☆43Updated 9 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 9 years ago
- Code for Pythonic visualization blog post☆40Updated 8 years ago
- ☆41Updated 9 years ago
- My talk at Strata 2014 in Santa Clara, CA☆73Updated 11 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 9 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- (Deprecated) Task for the Search & Discovery data analyst job.☆21Updated 10 years ago
- Python solver for mixed-effects models☆97Updated 3 weeks ago
- ☆28Updated 8 years ago
- Inspired by John Foreman. Created by the crowds.☆54Updated last year
- PyData London 2016 material☆37Updated 8 years ago
- Material for some talks I have given☆62Updated 9 months ago
- Simple validator for submissions to DrivenData competitions☆19Updated 6 years ago
- ☆69Updated 9 years ago
- Machine learning evaluation database☆24Updated 7 years ago
- Scripts to Analyze Pronto's Data Release☆24Updated 9 years ago
- Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks☆21Updated 9 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
- Patsy Adaptors for Scikit-learn☆48Updated 6 years ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 7 years ago
- Dask tutorial for PyData DC 2016☆11Updated 8 years ago
- UW Software Engineering for Data Science Website☆20Updated 6 months ago
- PyData NYC 2015 conference☆94Updated 9 years ago
- ☆46Updated last month
- Repository for exploratory data transformation & visualization talk☆27Updated 8 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 10 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 7 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago