CamDavidsonPilon / PyconCanada2015Links
My scrapers, data and analysis for PyCon Canada 2015 Keynote
☆26Updated 10 years ago
Alternatives and similar repositories for PyconCanada2015
Users that are interested in PyconCanada2015 are comparing it to the libraries listed below
Sorting:
- Code and notes from using scikit-learn on the MNIST digits dataset. For more of a narrative on this project, see the article:☆29Updated 10 years ago
- Portland Python Meetup March 2015☆40Updated 10 years ago
- ☆21Updated 10 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago
- iPython notebooks and data files for the 'Pandas in a Hurry' tutorial of the 2015 San Diego Data Science Fun Conference☆12Updated 10 years ago
- ☆34Updated 9 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 10 years ago
- Python forecasting and smoothing library☆67Updated 6 years ago
- How to Bootstrap Internal Applications With IPython Widgets (PyData 2015)☆19Updated 10 years ago
- Scripts to Analyze Pronto's Data Release☆23Updated 10 years ago
- PyData Seattle 2015: Python Data Bikeshed☆125Updated 10 years ago
- Neural Net Starter Examples☆88Updated 10 years ago
- PyData London 2016 material☆37Updated 9 years ago
- Docker images for data science from Wise.io☆51Updated 9 years ago
- Docker container with a PyData stack and JupyterHub server☆36Updated 9 years ago
- Scikit-learn Tutorial at EuroPython 2014☆43Updated 7 years ago
- Collection of dask example notebooks☆57Updated 7 years ago
- ☆81Updated 9 years ago
- Collection of pointers to slides and repositories from speakers at PyData Berlin 2016☆37Updated 9 years ago
- Algorithm's team Jupyter Notebooks☆113Updated 8 months ago
- Featherweight web API provider for serving R&D methods as web functions☆66Updated 9 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 9 years ago
- Dask powered gridsearch and pipeline a la scikit-learn☆42Updated 10 years ago
- Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"☆65Updated 8 years ago
- Inspired by John Foreman. Created by the crowds.☆54Updated 2 years ago
- Jupyter notebook presentations with optional code visibility and no ugly elements☆68Updated 8 years ago
- A Python library for dealing with splittable files☆42Updated 6 years ago
- Python solver for mixed-effects models☆97Updated 8 months ago
- ☆41Updated 10 years ago
- PyData Madrid 2016 material for the talk: A Primer to recommendation Systems☆37Updated 9 years ago