Practical Engineering Data Mining: Techniques and Uses
About this Course
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 data preprocessing, the extraction of association rules, classification, prediction, clustering, and the exploration of complex data, and will implement a capstone project exploring the same. Additionally, we will use case studies to explore the application of data mining across diverse sectors, including but not limited to manufacturing, healthcare, medicine, business, and various service industries.Created by: Northeastern University
Related Online Courses
This industry project is designed to allow you to apply the knowledge you have gained throughout the specialization for advising a real company. Our partner company will approach you with two... more
Kubernetes (K8s) is an open-source system for deploying, scaling, automating, and managing containerized applications. This automation helps in improving productivity, efficiency, and reduction of... more
Zn and Ni based Batteries: This course focuses on identifying active materials, chemistry and manufacturing processes as they relate to Zn as well as Ni batteries Battery selection and sizing for... more
About GANs\\n\\nGenerative Adversarial Networks (GANs) are powerful machine learning models capable of generating realistic image, video, and voice outputs.\\n\\nRooted in game theory, GANs have... more
Dive into the world of AutoCAD 2023 with our expertly crafted masterclass, where you\'ll learn to create stunning site plans with unparalleled speed and precision. Beginning with a thorough... more
Powered by
