EricSchles / awesome_stuffLinks
☆27Updated 7 years ago
Alternatives and similar repositories for awesome_stuff
Users that are interested in awesome_stuff are comparing it to the libraries listed below
Sorting:
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- ☆57Updated 8 years ago
- PyTennessee 2014: Statistical Data Analysis in Python☆85Updated 11 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- Predicting happiness from demographics and poll answers☆45Updated 8 years ago
- materials for General Assembly Data Science DC course☆81Updated 10 years ago
- All Kaggle competitions☆91Updated 9 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago
- ☆41Updated 10 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Updated 10 years ago
- demos for PyBay talk: Using Randomness to make code faster☆51Updated 8 years ago
- Install directions and example notebooks for Udacity's Deep Learning classes☆28Updated 9 years ago
- Twitter visualizaton experiment using various python-based technologies.☆60Updated 9 years ago
- Code & Data for Introduction to Machine Learning with Scikit-Learn☆81Updated 7 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 11 years ago
- An extensive machine learning library, made from scratch (Python).☆111Updated 7 years ago
- Source code for the "Practical Data Science in Python" tutorial☆58Updated 10 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 7 years ago
- One hour interactive training for ML with scikit-learn☆73Updated 8 years ago
- Advanced git and github course material☆39Updated 7 years ago
- Machine Learning Versioning made Simple☆38Updated 3 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 9 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 8 years ago
- Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks☆21Updated 10 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- Deep learning tutorial for PyData☆85Updated 6 years ago
- Code and notebooks for a talk given at PyBay, 2018-08-19☆49Updated 4 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 10 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 8 years ago