AidanCooper / shap-analysis-guideLinks
How to Interpret SHAP Analyses: A Non-Technical Guide
☆56Updated 3 years ago
Alternatives and similar repositories for shap-analysis-guide
Users that are interested in shap-analysis-guide are comparing it to the libraries listed below
Sorting:
- How to use SHAP values for better cluster analysis☆58Updated 3 years ago
- A collection of resources for learning and research.☆97Updated 2 months ago
- Bayesian time series forecasting and decision analysis☆116Updated 2 years ago
- Exploratory repository to study predictive survival analysis models☆34Updated 2 years ago
- PyData London 2022 Tutorial☆66Updated 3 years ago
- Bringing back uncertainty to machine learning.☆53Updated last year
- Code used to obtain results for my medium articles☆75Updated 2 years ago
- Repository for a workshop on Bayesian Decision Analysis☆71Updated 2 years ago
- Feature engineering package with sklearn like functionality☆54Updated 11 months ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 5 months ago
- Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…☆64Updated 5 years ago
- ☆150Updated 2 years ago
- Better heatmaps in Python☆136Updated 3 years ago
- Tool to set the thresholds for classification problems and to visualize the implications of potential thresholds.☆37Updated 9 months ago
- Missing Data Imputation for Python☆244Updated last year
- Berlin Time Series Analysis Repository☆100Updated 2 years ago
- ALE Plots with python☆63Updated last year
- Python tutorial on machine learning with time series for DSSGx 2020☆23Updated 5 years ago
- ☆32Updated last year
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…☆115Updated 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…☆102Updated 2 years ago
- The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …☆75Updated 2 years ago
- Python package for Imputation Methods☆248Updated last year
- Arguably the best missing values imputation method.☆69Updated 7 months ago
- Applied Machine Learning with Python☆80Updated last year
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Python Accumulated Local Effects package☆168Updated 2 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆69Updated 2 months ago
- References to the Medium articles☆86Updated 2 years ago
- Clusteval provides methods for unsupervised cluster validation☆60Updated 3 months ago