aschleg / hypotheticalLinks
Hypothesis and statistical testing in Python
☆65Updated 4 years ago
Alternatives and similar repositories for hypothetical
Users that are interested in hypothetical are comparing it to the libraries listed below
Sorting:
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- Statistical analysis and visualization of state transition phenomena☆85Updated 7 months ago
- Explorations of survival analysis in Python☆49Updated 2 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- ☆30Updated 7 years ago
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 4 years ago
- Teaching materials for Python MixedLM (mixed linear models)☆48Updated 8 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Experimenting with and teaching probabilistic programming☆104Updated 3 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆71Updated 3 years ago
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters☆41Updated 5 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Survival Analysis with non-parametric, semi-parametric, and parametric models☆39Updated 7 years ago
- Various methods for generating synthetic data for data science and ML☆80Updated 3 years ago
- ☆39Updated 6 years ago
- In which I play with the ideas surrounding causality☆53Updated 3 years ago
- OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…☆27Updated last year
- An extension of CatBoost to probabilistic modelling☆147Updated last year
- Code for blog post on Bayesian inference in PyStan☆20Updated 4 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆94Updated 11 months ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 3 years ago
- Supervised forecasting of sequential data in Python.☆55Updated 6 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Repository for a workshop on Complexity Science☆39Updated 3 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Updated 3 years ago
- Bayesian time series forecasting and decision analysis☆116Updated 2 years ago