addfor / tutorialsLinks
☆411Updated 7 years ago
Alternatives and similar repositories for tutorials
Users that are interested in tutorials are comparing it to the libraries listed below
Sorting:
- ☆212Updated 9 years ago
- General Assembly's Data Science course in Washington, DC☆233Updated last year
- Introduction to Statistics☆231Updated 9 years ago
- Repository containing files for my PyCon 2014 scikit-learn tutorial.☆226Updated 9 years ago
- Presentation at Perth Data Science Meetup, February 2015☆72Updated 10 years ago
- Rapid Machine Learning Prototyping in Python☆652Updated 9 years ago
- ☆212Updated 9 years ago
- [DEPRECATED] See the new edition:☆972Updated 7 years ago
- PyData, The Complete Works of☆299Updated 8 years ago
- Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video☆102Updated 6 years ago
- Scikit-Learn tutorial material for Scipy 2015☆576Updated 9 years ago
- PyData Seattle 2015: Python Data Bikeshed☆127Updated 9 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,594Updated 8 years ago
- simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work☆586Updated 8 years ago
- DePy 2015 Talk☆117Updated 7 years ago
- Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course☆348Updated 4 years ago
- Framework for setting up predictive analytics services☆488Updated 2 years ago
- Themes for your IPython Notebook☆473Updated 8 years ago
- Kayak is a library for automatic differentiation with applications to deep neural networks.☆228Updated 7 years ago
- A highly extensible deep learning framework☆423Updated 7 years ago
- Some sample IPython notebooks for scikit-learn☆567Updated last year
- ☆263Updated 5 years ago
- Material for talk "Machine Learning 101" https://speakerdeck.com/kastnerkyle/pycon2015 https://us.pycon.org/2015/schedule/presentation/36…☆87Updated 10 years ago
- My notes and superstitions about common machine learning algorithms☆367Updated 8 years ago
- Demonstrates data munging, analysis and visualization techniques☆121Updated 9 years ago
- Material for ODSCON San Francisco 2015☆79Updated 9 years ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆896Updated 4 years ago
- Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015☆144Updated 9 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆318Updated 8 years ago
- ☆196Updated 12 years ago