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Discuss corresponding concepts that are of importance to the selected concept.

Discuss corresponding concepts that are of importance to the selected concept.

Discuss corresponding concepts that are of importance to the selected concept.

Book: Introduction to Data Mining, in case needed

Authors: Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar

Publisher: Addison-Wesley

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.


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