Introduction to Supervised Machine Learning in Python

This hands-on tutorial introduces learners to the fundamentals of supervised learning through a practical, real-world example. Participants will explore how machine learning models can predict used car prices based on various features such as age, mileage, brand, and more. The session walks through the complete machine learning workflow - from data creation and exploration to model building, evaluation, and interpretation. Learners will work with two popular algorithms (Linear Regression and Random Forest) and compare their performance using industry-standard metrics.

This workshop will be held online and in-person.

Register for online at https://tulane.libcal.com/event/16033741