yandexdataschool / MLatGradDays
Course of Machine Learning in Science and Industry at Heidelberg university
☆47Updated 7 years ago
Alternatives and similar repositories for MLatGradDays:
Users that are interested in MLatGradDays are comparing it to the libraries listed below
- Materials for the course of machine learning at Imperial College organized by Yandex SDA☆82Updated 8 years ago
- Kaggle competition results☆20Updated 6 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- Materials for the course of machine learning at Imperial College organized by YSDA☆23Updated 9 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- Tutorial on "Modern Optimization Methods in Python"☆18Updated 9 years ago
- My second place solution to the Higgs Boson Machine Learning Challenge☆84Updated 10 years ago
- PyTennessee 2014: Statistical Data Analysis in Python☆85Updated 10 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 7 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 5 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- my solutions for oxford's "deep nlp 2017" practical assignments☆65Updated 7 years ago
- ☆25Updated 8 years ago
- A helper library for data science pipeline☆36Updated 5 years ago
- Repository for thuijskens.github.io☆11Updated 2 years ago
- Curated list of Machine Learning/Data Science resources☆13Updated 8 years ago
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 8 years ago
- Various notebooks and tutorials on subjects of interest.☆36Updated 4 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 6 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 7 years ago
- Kaggle competition : Code and Solutions☆19Updated 8 years ago
- Some experiments into explaining complex black box ensemble predictions.☆75Updated 5 years ago
- Pandas integration with sklearn☆21Updated 8 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 10 years ago
- Predicting sales with Pandas☆15Updated 9 years ago
- Amazon access control challenge☆25Updated 10 years ago
- ☆52Updated 6 years ago
- Telstra Network Disruptions - Predict service faults on Australia's largest telecommunications network☆13Updated 8 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago