tjefferies / pymetalogLinks
Public repo for the pymetalog project
☆40Updated 3 years ago
Alternatives and similar repositories for pymetalog
Users that are interested in pymetalog are comparing it to the libraries listed below
Sorting:
- In which I play with the ideas surrounding causality☆54Updated 3 years ago
- ☆90Updated 4 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆120Updated 11 months ago
- Educational resources☆105Updated 4 years ago
- An extension of CatBoost to probabilistic modelling☆147Updated 2 years ago
- Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019☆37Updated 3 years ago
- ☆233Updated 4 years ago
- ☆24Updated 5 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- ☆30Updated 8 years ago
- ☆159Updated 3 years ago
- ☆26Updated 8 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆160Updated 5 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆117Updated last year
- Tutorial on multilevel modeling, using Gelman radon example☆58Updated 10 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Statistical Rethinking course in pymc3☆144Updated 5 years ago
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆64Updated 10 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 5 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 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
- Bringing back uncertainty to machine learning.☆55Updated last year
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Updated 6 years ago
- An introduction to Bayesian statistics using Python and (coming soon) R.☆134Updated 2 years ago
- Probabilistic Programming and Bayesian Computing with PyMC☆24Updated last year
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆273Updated 3 years ago
- Time should be taken seer-iously☆319Updated 2 years ago