shapley-additive-explanations

Here are 36 public repositories matching this topic...

AstraZeneca / awesome-shapley-value

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

data-science machine-learning deep-learning artificial-intelligence lime explainable-artificial-intelligence explainable-ai explainable-ml xai shapley shap explainability shapley-decomposition explainable shapley-value shapley-q-value shapley-additive-explanations owen-value

Updated Aug 8, 2022

anniebritton / Ecological-Drought-ML-Modeling

Star

📊🛰️ Data processing scripts, ML models, and Explainable AI results created as part of my Masters Thesis @ Johns Hopkins

python machine-learning timeseries geospatial-data remote-sensing xgboost drought climate-science google-earth-engine ndvi vegetation-health xai drought-indices drought-monitoring shapley-additive-explanations ecological-drought

Updated Nov 17, 2023
Jupyter Notebook

g-aditi / customer-personality-analysis

Star

Using a Kaggle dataset, customer personality was analysed on the basis of their spending habits, income, education, and family size. K-Means, XGBoost, and SHAP Analysis were performed.

python machine-learning xgboost kmeans kmeans-clustering xgboost-algorithm xgboost-model kmeans-clustering-algorithm shapley-additive-explanations customer-personas shap-analysis customer-personality-analysis

Updated Nov 4, 2021
Jupyter Notebook

Sebastian1981 / CustomerAnalytics_CreditDefaultPrediction

Star

credit default prediction app

machine-learning webapp shapley-additive-explanations

Updated Sep 13, 2022
Jupyter Notebook

balajissp / dash-shap-components

Star

python3 dash python-packages plotly-dash shap shapley-additive-explanations

Updated Mar 4, 2022
Python

kingjosephm / gb_vehicle_injuries

Star

Coding challenge for a job interview examining the predictors of vehicle accident severity using GB Road Safety Data

machine-learning python3 lgbm optuna shapley-additive-explanations light-gradient-boosting-machine

Updated Jun 26, 2023
Jupyter Notebook

knmlprz / ShapEmotionsCorrectionFrontend

Star

Frontend for ShapEmotionsCorrectionAPI

javascript nlp data-science data-visualization shapley-value shapley-additive-explanations

Updated Dec 18, 2022
JavaScript

anishjohnson / Credit_Card_Default_Prediction

Star

In this project we predict credit card defaults using classification models.

machine-learning logistic-regression classification-algorithims knearest-neighbor-classifier random-forest-classifier xgboost-classifier shapley-additive-explanations threshold-moving

Updated Mar 2, 2022
Jupyter Notebook

Sebastian1981 / Sales_Prediction

Star

Use machine learning to find out what drives sales and predict sales

deep-neural-networks regression-analysis shapley-additive-explanations

Updated Jun 9, 2022
Jupyter Notebook

arpansharma-11 / XAI_breastCancer

Star

XAI analytics to understand the working of SHAP values

explainable-ai shapley-additive-explanations

Updated May 22, 2022
Jupyter Notebook

sachin17git / Malware-detection-ML

Star

Android malware detection using machine learning.

python machine-learning random-forest machine-learning-algorithms feature-selection logistic-regression bayesian-inference support-vector-machines bayesian-optimization multicollinearity k-nearest-neighbours malware-detection voting-classifier shapley-values xgboost-classifier shap-values shapley-additive-explanations catboost-classifier stacking-classifier

Updated Nov 23, 2022
Jupyter Notebook

iamlmn / simpleML

Star

No-code Machine learning (Pre-alpha)

python machine-learning linear-regression classification no-code automated-machine-learning simpleml shapley-additive-explanations

Updated Aug 23, 2022
HTML

LamineTourelab / Explainable-AI

Star

In this repository you will fine explainability of machine learning models.

machine-learning model lime shapely interpretability explainable-ai explainable-ml shapley shap explainability shapley-additive-explanations explainerdashboard shapash

Updated Feb 17, 2023

wideraHannes / SHAP-In-NLP

Star

Code for my thesis about SHAP. Implementation of DecisionTree, SVM, BERT on 2 Datasets Imdb and Argument Mining

nlp machine-learning sentiment-analysis thesis transformer overview bachelor-thesis bert argument-mining interpretable-deep-learning explainable-ai interpretable-machine-learning shap shapley-additive-explanations

Updated Mar 26, 2024
Jupyter Notebook

razamehar / Predicting-Bank-Customer-Churn

Star

This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.