samirshaikh2425/student-performance-prediction

This repository is a student exam-score prediction and feature-engineering analysis project. Its main workflow loads the CSV, cleans and enriches student records, encodes categorical features, compares three Random Forest regression setups, and prints regression metrics. The README also documents feature importance and visualizations, but their implementation in the notebook was not sampled, so those relationships are not asserted. The Python source supports the modeling flow; no separate application or persistent model store is shown.