The AI Center has been providing training in Python, Machine Learning, and VBA for both students and faculty members throughout the academic year 2025-2026. Following the completion of regression models with regularization techniques, Dr. Taoussi proceeded to introduce classification problems and their practical applications. These methods are designed to support and optimize decision-making processes in areas such as determining whether to approve a loan, predicting customer churn, and assessing customer satisfaction.

The classification techniques covered include Logistic Regression, Naïve Bayes, Decision Trees, Random Forest, XGBoost, and other advanced machine learning models. Through these sessions, participants gain both theoretical understanding and practical experience in applying AI-driven solutions to real-world problems.

Together, We Level Up Our Students