numeristical / introspective
Repo for the ML_Insights python package
☆145Updated last year
Related projects ⓘ
Alternatives and complementary repositories for introspective
- scikit-learn-compatible estimators from Civis Analytics☆59Updated 3 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 4 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆106Updated 5 years ago
- Confidence intervals for scikit-learn forest algorithms☆282Updated 3 months ago
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆210Updated 7 years ago
- Embed categorical variables via neural networks.☆59Updated last year
- pymc-learn: Practical probabilistic machine learning in Python☆223Updated 3 years ago
- Demo Weibull Time-to-event Recurrent Neural Network in Keras☆220Updated 5 years ago
- Multiple correspondence analysis☆179Updated last year
- Lightweight, Python library for fast and reproducible experimentation☆134Updated 5 years ago
- Tutorial for a new versioning Machine Learning pipeline☆81Updated 3 years ago
- Teaching materials for Python MixedLM (mixed linear models)☆47Updated 7 years ago
- Model Error Analysis for scikit-learn models.☆28Updated 2 years ago
- Example Python DS project☆71Updated 6 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆50Updated 2 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆128Updated 8 years ago
- ☆80Updated 8 years ago
- ☆91Updated 3 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆198Updated 8 months ago
- Python package for Imputation Methods☆242Updated 10 months ago
- Experimental Gradient Boosting Machines in Python with numba.☆183Updated 5 years ago
- Python package for causal inference using Bayesian structural time-series models.☆234Updated 4 years ago
- An extension of CatBoost to probabilistic modelling☆141Updated last year
- Python implementation of R package breakDown☆41Updated last year
- Generalized Linear Models in Sklearn Style☆128Updated 4 years ago
- A template for scikit-learn extensions☆325Updated last month
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆408Updated last year
- A fast xgboost feature selection algorithm☆219Updated 3 years ago
- Implementation of the conjugate prior table for Bayesian Statistics☆52Updated 3 months ago
- A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer☆42Updated 6 years ago