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UBC Metrics

Course difficulty prediction system with 4.84% error rate based on historical grade distributions.

UBC Metrics screenshot

Overview

UBC Metrics analyzes historical grade distributions. The system helps students make informed decisions when planning their course schedules. Using regression models, it achieves a 4.84% error rate when predicting course difficulty.

Key Features

  • Course difficulty prediction based on multiple factors
  • Historical grade distribution analysis
  • Interactive visualization dashboard

Status

Completed

Tech Stack

PythonPandasScikit-learnSeabornNumPyNLPWeb Scraping

Year

2024

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