2460 Machine Learning Project Builder (Grade 6+)

Note: This class will take place online via the video conference platform ZOOM - US Central Time (CST/CDT).

Description:
A 10-lesson introduction to machine learning for high school students with prior Python experience. Using Scikit-Learn and Pandas, students work through the full ML workflow — data preparation, regression, classification, model evaluation, decision trees, feature engineering, clustering, and a first look at neural networks — on real datasets like Titanic, Customer Churn, and MNIST. The course ends with a capstone project students can take directly into ISEF or the Congressional App Challenge.

Prerequisites: Grade 6+. Finish course 2420 - Data Science & Math for AI Projects.

Programming Language: Python

Books:

• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron