Applied Data Science with Machine Learning

Catalog description

Pre -requisites: DATS 6601, DATS 6602 This course will teach the students a wide-ranging set of techniques of supervised and unsupervised machine learning approaches using Python, WEKA and other applications. Machine Learning is a form of Artificial Intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. Participants will learn how to define a model for your data and make the data learn to predict a range of possible outcomes that account for real-world scenarios.