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Browse projects tagged with "explainability".

Credit Risk Scoring API cover image

Credit Risk Scoring API

Data

Credit risk scoring API on the German Credit dataset. Three classifiers benchmarked; Logistic Regression wins by cost-weighted score. FastAPI serves predictions with plain-language explanations. Deployed on Azure via GitHub Actions CI/CD.

SMS Spam Classifier cover image

SMS Spam Classifier

Ai-ml

SMS spam detection comparing three approaches — Naive Bayes, SVM, and Amazon Bedrock (Claude Haiku zero-shot) — on the same test set. Every prediction comes with a plain-English explanation of the words that drove it. Class imbalance addressed explicitly. Deployed on Azure App Service.

Telco Customer Churn Predictor cover image

Telco Customer Churn Predictor

Data

Churn prediction with plain-language risk explanations a retention team can act on. Logistic Regression wins (ROC-AUC 0.8362), benchmarked against Amazon Bedrock Claude Haiku 4.5 zero-shot — tied at 70%. Flask API on Azure.

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