Machine Learning

Salary Prediction Using Machine Learning

The Salary Prediction Using Machine Learning system is a comprehensive machine learning solution that predicts salaries for data science positions using Glassdoor job data including company ratings, job descriptions, and skill requirements. This project is ideal for B.Tech, MCA, CSE, and engineering students as their final year project. It uses advanced algorithms like Random Forest and Linear Regression to achieve 82.3% R² accuracy.

The system leverages features including job title, company rating, location, job description length, and skill indicators (Python, Spark, AWS, Excel). It provides interactive visualizations, feature importance analysis, model comparison, and real-time salary predictions to help job seekers, employers, and HR professionals make data-driven compensation decisions.

• Regression-Based Salary Prediction
• Random Forest (R²: 0.8234)
• Linear Regression (R²: 0.6512)
• Skill-Based Feature Analysis
• Feature Importance Analysis
• Real-time Salary Prediction
• Model Performance Comparison
• Interactive Visualizations
• 5-Fold Cross-Validation
• Flask Web Application