The questions will require you to have knowledge and carry out various features of R for data analysis, including data wrangling, feature engineering, resampling methods, GLM, GAM, MARS, decision trees and neural networks. Of course, you have to implement the correct techniques that is relevant to the question so you have to clearly understand to fluently answer the questions. I am having trouble with these questions as I haven’t been up to date with the lectures in this module due to my thesis deadline.
IMPORTANT: Think through all the steps in data analysis and explain why you are doing what you are doing. Provide me with explanatory text, R code and the outputs from R to support your answers. Above all, answer the question posed! The relevant excel sheets required for the questions will be attached in this request. Please do not place an offer if you don’t understand the questions properly.
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