CS171 / 2015-cs171-homework
Homework submissions for Harvard's CS171: Visualization
☆16Updated 9 years ago
Alternatives and similar repositories for 2015-cs171-homework:
Users that are interested in 2015-cs171-homework are comparing it to the libraries listed below
- ☆26Updated 8 years ago
- Code for Pythonic visualization blog post☆40Updated 7 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 7 years ago
- [DEPRECATED]☆55Updated 10 years ago
- ☆21Updated 8 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 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
- ☆58Updated 9 years ago
- Intro to some NLP concepts in Python for a class☆96Updated 10 years ago
- This repository holds all course materials for the fall 2015 offering of Statistics 243 at UC Berkeley.☆34Updated 7 years ago
- D3 Tutorials for CSE512 Data Visualization Course at University of Washington☆171Updated 6 years ago
- Data directory for the CS109 Data Science course☆66Updated 10 years ago
- materials for General Assembly Data Science DC course☆81Updated 9 years ago
- Materials for my PyData Seattle talk☆21Updated 9 years ago
- Presentation at Perth Data Science Meetup, February 2015☆72Updated 9 years ago
- Scripts to Analyze Pronto's Data Release☆24Updated 9 years ago
- Inspired by John Foreman. Created by the crowds.☆54Updated last year
- PyData, The Complete Works of☆299Updated 8 years ago
- Main site for DSSG Training 2015☆11Updated 9 years ago
- Material for ODSCON San Francisco 2015☆79Updated 9 years ago
- A compendium of the pitfalls and problems that arise when using standard statistical methods☆245Updated 10 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 9 years ago
- Predicting happiness from demographics and poll answers☆45Updated 8 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 9 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 8 years ago
- Bayesian Weighting for De-Biasing Thematic Maps☆54Updated 3 years ago
- Modeling Social Data, Applied Mathematics, Columbia University (Spring 2015)☆33Updated 5 years ago
- Feature Engineering with Pipeline Talk at ODSC West 2016, Santa Clara☆17Updated 8 years ago
- EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn☆84Updated 10 years ago
- Python and R: Writing Cross Language Tools (SciPy 2016 Talk)☆20Updated 8 years ago