tjefferies / pymetalog
Public repo for the pymetalog project
☆38Updated 3 years ago
Alternatives and similar repositories for pymetalog:
Users that are interested in pymetalog are comparing it to the libraries listed below
- In which I play with the ideas surrounding causality☆51Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆55Updated 9 years ago
- ☆23Updated 4 years ago
- Presented at Scipy Conference 2019☆125Updated 5 years ago
- My Jupyter notebook server☆19Updated 3 years ago
- ☆90Updated 4 years ago
- Educational resources☆104Updated 3 years ago
- Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019☆36Updated 2 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆121Updated 2 months ago
- A python tutorial on bayesian modeling techniques (PYMC3)☆20Updated 9 years ago
- Basic time series modeling with Stan and Pystan☆33Updated 7 years ago
- An extension of CatBoost to probabilistic modelling☆143Updated last year
- ☆77Updated 9 years ago
- ☆158Updated 2 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- ☆80Updated 8 years ago
- ☆30Updated 7 years ago
- Python implementation of R package breakDown☆42Updated last year
- Python solver for mixed-effects models☆98Updated 7 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- PyDataLondonTutorial☆26Updated 8 years ago
- ☆26Updated 7 years ago
- WIP predicted survival functions☆37Updated 5 years ago
- Patsy Adaptors for Scikit-learn☆48Updated 5 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆65Updated 10 months ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆129Updated 8 years ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆21Updated 7 years ago
- Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning☆55Updated 5 years ago
- Random Forests for Conditional Density Estimation☆41Updated 3 years ago