🧬 ClinVar Mutation Classification

📌 Project Overview

This project applies machine learning to classify genetic variants from the ClinVar database into categories such as Benign, Pathogenic, and Uncertain significance (VUS).
The goal is to build a reproducible ML pipeline for mutation classification using variant-level features.

🎯 Objectives

• Download and preprocess ClinVar variant data
• Engineer features suitable for ML classification
• Train and evaluate classification models (Random Forest, XGBoost, etc.)
• Compare performance across multiple algorithms
• Deploy results and share insights