CodeVision: Student Coding Performance Analysis

📊 Overview

This project analyzes student coding performance across platforms like HackerRank, LeetCode, CodeChef, and GeeksforGeeks using Data Mining techniques.

🚀 Features

• Data Preprocessing
• Feature Engineering (CodingScore)
• Exploratory Data Analysis (EDA)
• K-Means Clustering
• Decision Tree Classification

🛠 Technologies Used

• Python
• Pandas, NumPy
• Matplotlib, Seaborn
• Scikit-learn

📁 Dataset

Synthetic dataset containing student coding performance.

📌 Results

• Students grouped into High, Medium, Low clusters
• Performance prediction using ML models

👨‍💻 Author

Krishnandu Das