An End-to-End Evaluation Framework for Entity Resolution Systems

✍️ Collaborate on writing technical content for the Giskard Community

An open-source Streamlit web app to generate beautiful confusion matrices for multi-class machine learning models. Supports numeric and string labels, CSV upload, manual label entry, custom color maps, and displays evaluation metrics like Accuracy, Precision, Recall, and F1-score. Users can download the confusion matrix as an image.

This project contains codes and paperwork based on the course CSI5155 at University of Ottawa (delivered by Professor Dr. Herna Viktor).

Data Science Challenge from Coursera Project : Loan Default Prediction

Collection of Machine Learning (ML) and Natural Language Processing (NLP) projects showcasing a range of applications, algorithms, and techniques.

Small, educational project that shows how to build a **minimal RAG pipeline** with a **simple evaluation loop**

Enterprise-grade machine learning observability platform that detects data drift, concept drift, and performance degradation in production models. Features statistical drift detection (KS test, PSI), real-time alerting, Redis caching, and FastAPI backend.

Evaluation of system-level risks in content moderation models using policy-driven metrics, identity-based analysis, and governance-aligned datasets.

A MATLAB-based machine learning project that implements a Naive Bayes spam email classifier using the UCI Spambase dataset. Includes feature selection, model tuning, performance evaluation, and deployment-ready model export.