Applied Machine Learning
Description
This course provides a hands-on introduction to the principles and practices of machine learning. Students will learn how to apply machine learning algorithms to real-world datasets to uncover patterns, make predictions, and inform decision-making. The course covers key concepts such as supervised and unsupervised learning, model evaluation, and feature engineering. By the end of the course, students will be equipped with the skills to implement, evaluate, and deploy machine learning models using popular tools and frameworks.
Pre-requisites
Pre-for
Co-requisites
No X-Requisite course found