We write, we don’t plagiarise! Every answer is different no matter how many orders we get for the same assignment. Your answer will be 100% plagiarism-free, custom written, unique and different from every other student.
I agree to receive phone calls from you at night in case of emergency
Please share your assignment brief and supporting material (if any) via email here at: [email protected] after completing this order process.
This course introduces the concepts, issues, tasks and techniques of data mining process. Topics include data preparation and feature selection, association rules, classification, clustering, evaluation and validation, and sequence mining, and data mining applications. The course mainly focuses on data mining issues such as data selection and cleaning, machine learning techniques to ``learn" knowledge that is ``hidden" in data, and the reporting and visualization of the resulting knowledge. The course illustrates data mining process by examples of practical applications from the life sciences, computer science, and commerce. Several machine learning topics including classification, prediction, and clustering will be covered.
At the end of the course, students will be able to :
Email: [email protected]
Get all these features for د.إ195.00 FREE
Check Out Our Original Reviews