smazzanti / tds_black_box_models_more_explainableLinks
Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in Towards Data Science: https://towardsdatascience.com/black-box-models-are-actually-more-explainable-than-a-logistic-regression-f263c22795d
☆73Updated 2 years ago
Alternatives and similar repositories for tds_black_box_models_more_explainable
Users that are interested in tds_black_box_models_more_explainable are comparing it to the libraries listed below
Sorting:
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 3 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- ☆136Updated 6 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆118Updated 2 years ago
- Python implementation of the population stability index (PSI)☆142Updated 2 years ago
- ☆50Updated 7 years ago
- EconML/CausalML KDD 2021 Tutorial☆163Updated 2 years ago
- scikit-learn compatible tools for building credit risk acceptance models☆104Updated 8 months ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆71Updated 6 months ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆349Updated 2 years ago
- ☆49Updated 6 years ago
- Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks☆25Updated 5 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆256Updated 5 years ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆342Updated last year
- A python package for feature selection in python☆51Updated 4 years ago
- A re-creation of SAS varclus procedure in Python☆23Updated 7 years ago
- Python implementation of the rulefit algorithm☆425Updated 2 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆78Updated last year
- A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…☆107Updated last year
- A tour through recommendation algorithms in python [IN PROGRESS]☆177Updated 10 months ago
- Public solution for AutoSeries competition☆72Updated 5 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 9 years ago
- Quick Implementation in python☆53Updated 5 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- CostSensitiveClassification Library in Python☆205Updated 5 years ago