petersontylerd / mlmachine
mlmachine accelerates machine learning experimentation
☆30Updated 3 years ago
Alternatives and similar repositories for mlmachine:
Users that are interested in mlmachine are comparing it to the libraries listed below
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- Fast Bayesian A/B and Multivariate testing.☆36Updated 2 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Helpers for scikit learn☆16Updated 2 years ago
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆30Updated 3 years ago
- An extension of CatBoost to probabilistic modelling☆142Updated last year
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆121Updated 3 months ago
- Random stuff I've been working on☆28Updated last year
- Example usage of scikit-hts☆57Updated 2 years ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- Tools for diagnostics and assessment of (machine learning) models☆34Updated 2 months ago
- Phi_K correlation analyzer library☆164Updated 3 months ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- SciKIt-learn Pipeline in PAndas☆42Updated last year
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆24Updated 5 months ago
- DataFrame support for scikit-learn.☆63Updated last year
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- ☆110Updated last week
- Gradient boosting on steroids☆28Updated 10 months ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- Exploratory repository to study predictive survival analysis models☆34Updated last year
- Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019☆36Updated 2 years ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆100Updated 2 years ago
- Generalized additive models in Python with a Bayesian twist☆77Updated 11 months ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆116Updated 11 months ago
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆72Updated last month