Campus Placement Prediction

Description 100,000 synthetic student profiles for predicting campus placement outcomes. Features 26 columns covering academics (SSC/HSC/Degree scores), skills (technical, soft, aptitude), experience (internships, projects, certifications), and extras (leadership, extracurriculars, backlogs). Includes dual targets: binary placement status and salary in LPA. Realistic correlations mirror actual campus recruitment patterns.