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shap-analysis

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haghish / shapley

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Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles

machine-learning machine-learning-algorithms feature-selection feature-extraction class-imbalance shapely feature-importance shap shapley-decomposition shapley-value shapley-values shap-values shapley-additive-explanations shap-analysis class-imbalance-problem shapleyvalue weighted-shapley weighted-shap weighted-shap-confidence-interval weighted-shapley-ci
  • Updated Oct 23, 2024
  • R

g-aditi / customer-personality-analysis

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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

BhagatTushar / Anomaly_Detection

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At Infosys Springboard, I worked on a project focused on unsupervised anomaly detection in healthcare providers. I implemented three machine learning algorithms—Isolation Forest, Elliptic Envelope, and One-Class SVM—as well as a deep learning approach using autoencoders. Additionally, I conducted individual SHAP analysis

autoencoder isolation-forest oneclasssvm elliptic-envelope shap-analysis
  • Updated Oct 14, 2024
  • Jupyter Notebook

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