glouppe / talk-pydata2015Links
Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
☆50Updated 10 years ago
Alternatives and similar repositories for talk-pydata2015
Users that are interested in talk-pydata2015 are comparing it to the libraries listed below
Sorting:
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 10 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago
- Slides and notebooks for PyData Strata San Jose☆50Updated 10 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 7 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 9 years ago
- ☆52Updated 9 years ago
- Pydata NYC 2014 Scikit Learn Tutorial☆65Updated 10 years ago
- ☆28Updated 9 years ago
- Code for Learning with Data Blog☆64Updated 8 years ago
- Uncertainty quantification book chapter☆49Updated 10 years ago
- Example scripts for various deep learning APIs.☆28Updated 10 years ago
- Algorithm's team Jupyter Notebooks☆113Updated 2 months ago
- Creates models to classify documents into categories☆66Updated 7 years ago
- Latent dirichlet allocation (LDA) for datamicroscopes☆41Updated 9 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- ☆27Updated 10 years ago
- PyData Madrid 2016 material for the talk: A Primer to recommendation Systems☆37Updated 9 years ago
- ☆44Updated 10 years ago
- My Tutorial for PyData London☆25Updated 10 years ago
- Deep learning tutorial for PyData☆85Updated 6 years ago
- Additional files for the Otto Group Challenge hosted by Kaggle☆37Updated 10 years ago
- the 2nd place solution for West Nile Virus Prediction challenge on Kaggle☆36Updated 10 years ago
- Install directions and example notebooks for Udacity's Deep Learning classes☆28Updated 9 years ago
- National Data Science Bowl☆20Updated 10 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Updated 10 years ago
- Predicting happiness from demographics and poll answers☆45Updated 8 years ago
- Presentation at Perth Data Science Meetup, February 2015☆72Updated 10 years ago
- Python forecasting and smoothing library☆67Updated 6 years ago
- ☆66Updated 2 years ago
- Deep learning for hackers: a hands-on approach to machine learning and deep learning.☆67Updated 10 years ago