WillKoehrsen / probabilistic-programming
Experimenting with and teaching probabilistic programming
☆103Updated 2 years ago
Alternatives and similar repositories for probabilistic-programming:
Users that are interested in probabilistic-programming are comparing it to the libraries listed below
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Personal repository of data science demonstrations and references☆76Updated 2 years ago
- Tutorial given at PyData LA 2018☆97Updated 5 months ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated 7 months ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 2 years ago
- Added repo for PyData LA 2018 tutorial☆89Updated 6 years ago
- ☆33Updated 2 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Data Science for Good Projects☆49Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part I☆140Updated 4 years ago
- ☆154Updated 4 years ago
- ☆100Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part II☆162Updated 4 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆106Updated 5 years ago
- Learning statistics with Python☆52Updated 4 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆117Updated 4 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 7 years ago
- Doing Bayesian statistics in Python!☆66Updated 6 years ago
- ☆13Updated 2 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- Explorations of survival analysis in Python☆51Updated last year
- Python data science and machine learning from Ted Petrou with Dunder Data☆53Updated 2 years ago
- Presented at Scipy Conference 2019☆124Updated 4 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 6 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆151Updated 4 years ago
- Applying automated feature engineering to the Kaggle Home Credit Default Risk Competition☆18Updated 6 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 5 months ago
- A collection of notebooks of my Machine Learning class written in python 3☆44Updated 6 years ago
- ☆102Updated 6 years ago
- ☆40Updated 7 years ago