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.