Machine Learning and Data Analytics Part 2

This course delves into both the theoretical aspects and practical applications of data mining within the field of engineering. It provides a comprehensive review of the essential fundamentals and central concepts underpinning data mining. Additionally, it introduces pivotal data mining methodologies and offers a guide to executing these techniques through various algorithms. Students will be introduced to a range of data mining techniques, such as clustering, the extraction of association rules, support vector machines, neural networks, and the exploration of other complex techniques. Additi…