jhofman / msd2015Links
Modeling Social Data, Applied Mathematics, Columbia University (Spring 2015)
☆33Updated 6 years ago
Alternatives and similar repositories for msd2015
Users that are interested in msd2015 are comparing it to the libraries listed below
Sorting:
- Algorithm's team Jupyter Notebooks☆113Updated 2 months ago
- Materials for my PyData Seattle talk☆21Updated 9 years ago
- Intro to some NLP concepts in Python for a class☆96Updated 10 years ago
- PDF and python files for creating time maps and downloading tweets☆59Updated 5 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 8 years ago
- Public Machine Learning and Data Competition Repo☆54Updated 9 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago
- ☆12Updated 10 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago
- Visualization of text sentiment using deep learning☆43Updated 9 years ago
- Scripts to Analyze Pronto's Data Release☆24Updated 9 years ago
- Code for Learning with Data Blog☆64Updated 8 years ago
- A dashboard of key metrics for the USA☆69Updated 7 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- Presentation at Perth Data Science Meetup, February 2015☆72Updated 10 years ago
- Predicting happiness from demographics and poll answers☆45Updated 8 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 10 years ago
- A bot tweeting nonsensical craft beer reviews via Markov chains☆49Updated 9 years ago
- Inspired by John Foreman. Created by the crowds.☆54Updated last year
- ☆46Updated 3 months ago
- Using data to dig into the 2015 NL Cy Young race☆10Updated 9 years ago
- Docker images for data science from Wise.io☆50Updated 9 years ago
- Advanced git and github course material☆39Updated 7 years ago
- Stability analysis for topic models☆51Updated 8 years ago
- Latency numbers every data scientist should know (aka the pyramid of analytical tasks) - the order of magnitude of computational time for…☆20Updated 8 years ago
- Uncertainty quantification book chapter☆50Updated 9 years ago
- EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn☆85Updated 10 years ago
- Code for Pythonic visualization blog post☆40Updated 8 years ago
- My Tutorial for PyData London☆25Updated 10 years ago
- 12 Week Data Science Immersive☆27Updated 10 years ago