glouppe / talk-pydata2015
Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
☆50Updated 9 years ago
Alternatives and similar repositories for talk-pydata2015:
Users that are interested in talk-pydata2015 are comparing it to the libraries listed below
- ☆28Updated 8 years ago
- 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 8 years ago
- Slides and notebooks for PyData Strata San Jose☆50Updated 9 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 6 years ago
- Additional files for the Otto Group Challenge hosted by Kaggle☆36Updated 9 years ago
- Scripts to Analyze Pronto's Data Release☆24Updated 9 years ago
- Uncertainty quantification book chapter☆49Updated 9 years ago
- ☆52Updated 8 years ago
- Pydata NYC 2014 Scikit Learn Tutorial☆64Updated 10 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆27Updated 8 years ago
- ☆27Updated 9 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Latent dirichlet allocation (LDA) for datamicroscopes☆39Updated 9 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 9 years ago
- PyData Madrid 2016 material for the talk: A Primer to recommendation Systems☆37Updated 8 years ago
- Advanced git and github course material☆39Updated 6 years ago
- Code for Learning with Data Blog☆64Updated 7 years ago
- Example scripts for various deep learning APIs.☆28Updated 9 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 9 years ago
- ☆15Updated 8 years ago
- Code for participants of "NLP and Deep Learning: introduction - Session I" at Sthlm NLP Meetup of 22 Jan 2015☆37Updated 9 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 9 years ago
- PyData Seattle 2015: Python Data Bikeshed☆127Updated 9 years ago
- Creates models to classify documents into categories☆66Updated 7 years ago
- Python forecasting and smoothing library☆67Updated 5 years ago