CSCI 253 Applied Machine Learning
Students learn practical machine-learning techniques using Python and industry-standard tools. The course covers preparing datasets, training models, evaluating performance, and applying ML to real scenarios. Emphasis is placed on hands-on coding in Python with scikit-learn and building a complete end-to-end ML project.
Prerequisite
Complete CSCI-250
Corequisite
CSCI-251, Previous or concurrent