Trainee Projects!

Cloud Computing/Machine Learning Track Overview

The Cloud Computing, Machine Learning, and AI course focuses on the fundamentals of machine learning, including problem framing, bias assessment, and technical skills. The class is taught in Python using common machine learning packages such as sklearn. Students will also learn AWS Cloud Computing skills for implementing their ML algorithms. Advanced topics in the class include mathematical analysis of algorithms and introductions to various specific ML algorithms. Students will complete a forecasting project using the skills developed throughout the course to understand the future climate in the Baltimore City area.

Projects

Trainees focused on the programming, mathematics, and ethics behind Machine Learning to complete their final projects. Projects incorporated everything from the fundamentals of Python to Neural Network building.


Final Project Objective: Predictions of how Baltimore City's climate affects various subjects