explianable-ai

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Tszon / End-to-End_DS_ML_Project

I built an end-to-end customer churn segregation and prediction project.

docker data-science machine-learning scikit-learn exploratory-data-analysis vscode visualisation supervised-learning statistical-tests feature-engineering kmeans-clustering statistical-test containerisation mlflow shap streamlit preprocessing-data hdbscan-clustering explianable-ai

Updated Aug 26, 2025
Jupyter Notebook

Romilagarwal / diabetic_retinoplasty

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A hybrid deep learning framework for automated diabetic retinopathy detection combining EfficientNetB0 with Swin Transformer attention mechanisms. Features Bayesian uncertainty quantification through Monte Carlo Dropout, explainable AI visualizations with Grad-CAM, and specialized preprocessing techniques.

deep-learning bayesian-inference pre-processing monte-carlo-dropout efficientnet grad-cam-visualization swim-transformer explianable-ai

Updated Jul 31, 2025
Python

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