Decision Tree Analysis for Job Placement Prediction

The goal of this project was to use decision tree algorithms to analyze data on student’s academic and professional qualifications and predict job placement outcomes. The dataset included features such as secondary school percentage, degree percentage, MBA percentage, and employment test scores. This project helped me improve my skills in data preprocessing, decision tree analysis, and model optimization using tools like Python, scikit-learn, and pandas. This also provided me with valuable insights into applying data analysis techniques to real-world problems.