lcdm-uiuc / info490-sp16
INFO 490: Advanced Data Science, offered in the Spring 2016 Semester at the University of Illinois
☆68Updated 8 years ago
Related projects: ⓘ
- INFO 490: Foundations of Data Science, offered in the Fall 2016 Semester at the University of Illinois☆52Updated 7 years ago
- INFO 490: Foundations of Data Science, offered in the Fall 2015 Semester at the University of Illinois☆40Updated 8 years ago
- Advanced Data Science, University of Illinois Spring 2017☆56Updated 6 years ago
- PyData, The Complete Works of☆298Updated 7 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆318Updated 7 years ago
- Data Science in 30 Minutes☆85Updated 8 years ago
- Website and material for the FIXME course on Practical Machine Learning☆88Updated 6 years ago
- Python for Data Science (Seminar Course at UC Berkeley; AY 250)☆324Updated 2 years ago
- General Assembly's Data Science course in Washington, DC☆230Updated 3 months ago
- (Winter 2015) Python for Data Mining mini-course.☆33Updated 5 years ago
- Material for ODSCON San Francisco 2015☆79Updated 8 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆129Updated 7 years ago
- Data directory for the CS109 Data Science course☆66Updated 9 years ago
- ☆210Updated 8 years ago
- ☆143Updated this week
- project solutions to Udacity's Machine Learning Nanodegree☆22Updated 7 years ago
- Repository containing files for my PyCon 2014 scikit-learn tutorial.☆226Updated 8 years ago
- Translating R Data Analyses to Python☆282Updated 6 years ago
- A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.☆308Updated 3 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Updated 9 years ago
- Repository for students to fork☆11Updated 10 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆151Updated 3 years ago
- Notebooks covering introductory material to ML, ML with sklearn and tips.☆77Updated 5 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 7 years ago
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆291Updated 10 years ago
- my solutions to the exercises in book Data Structures and Algorithms in Python☆77Updated 6 years ago
- Resources for STA 633 class☆163Updated 7 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆219Updated 3 years ago
- practical introduction to Python for machine learning, with pandas and scikit-learn - Sept 2014☆283Updated 2 years ago
- ☆58Updated this week