jrgauthier01 / pydata-seattle-2017Links
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
☆15Updated 7 years ago
Alternatives and similar repositories for pydata-seattle-2017
Users that are interested in pydata-seattle-2017 are comparing it to the libraries listed below
Sorting:
- ☆24Updated 5 years ago
- An extension of CatBoost to probabilistic modelling☆147Updated 2 years ago
- Presentation materials for PyMC Statespace☆25Updated last year
- Generalized additive models in Python with a Bayesian twist☆78Updated 4 months ago
- ☆73Updated 7 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Educational resources☆105Updated 4 years ago
- Fast Bayesian A/B and Multivariate testing.☆36Updated 2 years ago
- In which I play with the ideas surrounding causality☆54Updated 3 years ago
- ☆133Updated this week
- Hidden Markov models in PyMC3☆97Updated last year
- Berlin Time Series Analysis Repository☆102Updated 2 years ago
- Unstructured Code with interesting analysis☆36Updated last year
- Time should be taken seer-iously☆319Updated 2 years ago
- Repository containing the code of the projects presented in my personal website.☆45Updated this week
- Public repo for the pymetalog project☆40Updated 3 years ago
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…☆32Updated 2 years ago
- ☆90Updated 4 years ago
- Basic time series modeling with Stan and Pystan☆33Updated 8 years ago
- Bayesian time series forecasting and decision analysis☆120Updated 2 years ago
- A system for Bayesian estimation of state space models using PyMC☆36Updated 5 months ago
- A Beginner's Guide to State Space Modeling☆23Updated 3 weeks ago
- Inference case studies in jupyter☆93Updated 7 years ago
- Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019☆37Updated 3 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆161Updated 5 years ago
- ☆93Updated last year
- Powerful add-ons for PyMC☆127Updated last week
- Basis expansion transformers in sklearn style.☆97Updated 5 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Generalized Linear Models in Sklearn Style☆130Updated 5 years ago