Book: Introduction to Data Mining, in case needed
Authors: Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar
Select one key concept that we’ve learned in the course (From Chapter 1 to 5 & Not entire curriculum) to date and answer the following, few to highlight are:
Data and Classification – data algorithms
Classification and Alternative Techniques – attribute, discrete and continuous data, concepts of data classification, decision tree and decision tree modifier, hyper-parameter, pitfalls of model selection and evaluation, various types of classifiers
Association Analysis – association rule in data mining
Questions to elaborate are as below:
– Define the concept.
– Note its importance to data science.
– Discuss corresponding concepts that are of importance to the selected concept.
– Note a project where this concept would be used.
Looking for 4+ pages (Excluding title, intro or reference pages) of contents in response and minimum 3 APA references.