Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
☆30Mar 21, 2016Updated 10 years ago
Alternatives and similar repositories for pydata-amsterdam-2016
Users that are interested in pydata-amsterdam-2016 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Advanced git and github course material☆40Mar 13, 2018Updated 8 years ago
- A web application that recommends songs via "country arithmetic" and hand-rolled Implicit Matrix Factorization☆10May 5, 2017Updated 8 years ago
- ☆10Jan 15, 2017Updated 9 years ago
- The speaker list for JupyterDays Boston, March 17-18 in Cambridge, MA.☆15Mar 19, 2016Updated 10 years ago
- Materials for dask talk at PyData NYC☆15Nov 11, 2015Updated 10 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆66May 9, 2023Updated 2 years ago
- Material for Machine Learning Meetup "Machine Learning with Scikit-learn"☆29Jan 21, 2016Updated 10 years ago
- Interactive visualization of non-linear logistic regression decision boundaries☆28Jul 24, 2014Updated 11 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆68Dec 4, 2014Updated 11 years ago
- Introduction to structured prediction with Python and pystruct☆18Jul 3, 2018Updated 7 years ago
- R files containing the code used to predict rugby world cup matches☆10Sep 18, 2015Updated 10 years ago
- Using data to dig into the 2015 NL Cy Young race☆10Nov 19, 2015Updated 10 years ago
- Material for ODSCON San Francisco 2015☆80Feb 3, 2016Updated 10 years ago
- Slides for quick intro to machine learning with sklearn☆66Feb 5, 2014Updated 12 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Material and slides for Boston NLP meetup May 23rd 2016☆17May 23, 2016Updated 9 years ago
- Latency numbers every data scientist should know (aka the pyramid of analytical tasks) - the order of magnitude of computational time for…☆19Apr 13, 2017Updated 8 years ago
- Material for open source machine learning practical☆21Sep 15, 2015Updated 10 years ago
- For FFL Blog☆10Sep 24, 2015Updated 10 years ago
- Introduction to data visualization in Python, including plotting data from NetCDF files. Originally created for a Short Course in Data As…☆50Oct 22, 2021Updated 4 years ago
- ☆28Jun 6, 2016Updated 9 years ago
- ☆26May 20, 2016Updated 9 years ago
- Materials for my PyData Seattle talk☆21Aug 6, 2015Updated 10 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆15Aug 3, 2017Updated 8 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Material for git workshop☆11Mar 13, 2018Updated 8 years ago
- Python class to explore the ImageNet database☆16Jan 12, 2012Updated 14 years ago
- Hot news detection based on wikipedia data!☆28Jul 20, 2015Updated 10 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆51Apr 1, 2015Updated 10 years ago
- Material for Data analysis and machine learning in Jupyter☆21Aug 23, 2017Updated 8 years ago
- SLIC wrapper for Python - legacy, rather use scikit-image now!☆23Feb 1, 2014Updated 12 years ago
- Archive of Beaker Notebook☆12May 9, 2017Updated 8 years ago
- Module 7: Introduction to D3.js☆21Apr 14, 2016Updated 9 years ago
- The slides, code examples and resources for the PyCon 2015 Ireland talk on building data pipelines☆13Oct 26, 2015Updated 10 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Public code files for the DDL blog☆56Jun 6, 2018Updated 7 years ago
- Oxford Machine Learning Course 2015☆12Mar 4, 2016Updated 10 years ago
- Code for the Spark tutorial at the Pydata conference in London June 2015☆12Oct 9, 2016Updated 9 years ago
- Python and matlab bindings for the Damascene CUDA implementation of gPB☆14Apr 2, 2019Updated 6 years ago
- Notebooks covering introductory material to ML, ML with sklearn and tips.☆77Oct 17, 2018Updated 7 years ago
- A Tutorial on Simple Machine Learning Methods Held for the Graduate School on Bionics, 2012☆54Aug 9, 2013Updated 12 years ago
- Website and material for the FIXME course on Practical Machine Learning☆88Jan 26, 2018Updated 8 years ago