Linear to Logistic Regression lab is an AI-powered, fully interactive simulator where students explore the mathematics of Both algorithms. Linear and logistic regression are supervised learning algorithms — but they solve different problems. Linear regression predicts a continuous number. Logistic regression predicts a class label, making classification possible. This lab shows you the transition: one chart, two views, every formula step live. This tool works best as a live demonstration during lecture, a guided lab exercise in tutorials, or a self-paced exploration for exam prep. 

This unique Lab is part of the Tech with a Human Heart❤️ project, led by Dr. Tahani Al-Khatib at KASIT, University of Jordan, by using Claude AI. It is an educational tool designed for students in statistics, data science, and machine learning courses who are ready to move from predicting continuous values to predicting binary outcomes.