tdhopper / intro-to-scikit-learn
Materials for talk on scikit-learn
☆27Updated 9 years ago
Related projects ⓘ
Alternatives and complementary repositories for intro-to-scikit-learn
- Materials for my talk at PyData Chicago 2016☆20Updated 7 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆73Updated 8 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆19Updated 7 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Updated 8 years ago
- PyDataLondonTutorial☆26Updated 8 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 7 years ago
- Repository for exploratory data transformation & visualization talk☆26Updated 8 years ago
- Python code for Hadley Whickham's article on Tidy Data.☆34Updated 8 years ago
- My Jupyter notebook server☆19Updated 2 years ago
- ☆24Updated 6 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated 7 months ago
- Advanced git and github course material☆39Updated 6 years ago
- Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"☆19Updated last year
- repository for code related to the end-to-end data analysis in python workshop, from the Open Data Science Conference 2015☆15Updated 9 years ago
- Inspired by John Foreman. Created by the crowds.☆54Updated last year
- Compare the scoring speed of several open source machine learning libraries.☆21Updated 7 years ago
- A python tutorial on bayesian modeling techniques (PYMC3)☆20Updated 9 years ago
- ☆15Updated 2 years ago
- Bayesian statistics seminars☆30Updated 7 years ago
- Statistical Learning & Data Mining IV - H2O Presenation & Tutorial☆26Updated 7 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Materials for the PyData San Francisco 2016 visualization tutorial☆14Updated 7 years ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆21Updated 7 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 9 years ago
- ☆41Updated 9 years ago
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 6 years ago
- This repository contains the course materials for the tutorial "Supercharge Your data Analysis with R"☆22Updated 8 years ago
- Material for the statistics in Python tutorial☆42Updated 9 years ago