shap-values · GitHub Topics

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

dash shap-values dashboard model-predictions data-scientists explainer interactive-dashboards permutation-importances shap plotly interactive-plots xai-library xai

Python 2.4 k

9 天前

archd3sai / Customer-Survival-Analysis-and-Churn-Prediction

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest mod...

random-forest explainable-ai 数据分析 flask-application shap-values

Jupyter Notebook 206

3 年前

oegedijk / explainingtitanic

A demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etc

shap-values permutation-importances xai

Python 19

8 个月前

haghish / shapley

#计算机科学#Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles

机器学习 shap-values feature-extraction feature-importance feature-selection shap

R 16

3 个月前

adiag321 / CRM-Analysis-for-Marketing-data

#计算机科学#In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign

classification-algorithm 数据分析 feature-importance hyperparameter-tuning 机器学习 shap-values 统计

Jupyter Notebook 10

1 个月前

CSFelix / Data-Science-Mental-Maps

#计算机科学#🐍 Mental Maps Related to Contents in Data Science 🐍

机器视觉 cross-validation data-preparation 数据科学 data-transformation 深度学习 encoder feature-engineering 机器学习 CSS Resets pipelines Python scale shap-values xgboost

3 年前

Arsu-Lab / Different-Algorithms-Uncover-Different-Patterns-BrainAge-Prediction

Github Repository for the paper "Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study" - BIBM 2023

eeg-classification shap-values EEG

Jupyter Notebook 7

1 年前

LGDiMaggio / Explainable-AI-for-Machine-Fault-Diagnosis

This project uses Explainable AI (XAI) to interpret machine learning models for diagnosing faults in industrial bearings. By applying SVM and kNN models and leveraging SHAP values, it enhances the tra...

explainable-ai knn shap-values svm

Jupyter Notebook 5

9 个月前

fdhot / app

Framework de Mixture of Experts para Explicabilidade de Estados de Ansiedade

causal-inference 数据可视化 explainability mixture-of-experts shap-values

Jupyter Notebook 5

4 个月前

dphot / app

Análise Avançada de Intervenção para Ansiedade com SHAP

数据可视化 explainability feature-importance shap-values

Jupyter Notebook 4

4 个月前

sachin17git / Malware-detection-ML

#计算机科学#Android malware detection using machine learning.

bayesian-inference bayesian-optimization feature-selection 机器学习 malware-detection Python random-forest shap-values k-nearest-neighbours logistic-regression support-vector-machines

Jupyter Notebook 3

3 年前

dikaaka / In-Vehicle-Coupon-Recommendation-Project

#计算机科学#Generate predictive model using supervised learning method to enhanced coupon acceptance rate using python.

机器学习 Python 数据分析 supervised-learning data-analytics feature-engineering matplotlib NumPy pandas seaborn scikit-learn shap-values

Jupyter Notebook 2

3 年前

kochlisGit / Wine-Preference-Analysis

#计算机科学#The purpose of this work is the modeling of the wine preferences by physicochemical properties. Such model is useful to support the oenologist wine tasting evaluations, improve and speed-up the wine p...