R Programming

MUST USE R STUDIO FOR ASSIGNMENT
Attached is a credit.csv file. You must use this data to complete the R Programming portion of the final exam. After your read in the file, you will do the following.

credit.csv

1) Select three ML Algorithms.
2) Decide a quantitative or qualitative attribute that you would like to predict from the data.
3) Clean the data as you see fit. There are no explicit instructions on what is required. You may need to change some features into dummy variables. It may be advantageous to extract some features, it is your choice.
4) Create a train and test set from the provided data.
5) Incorporate CV of some kind for each selected model.
5) You must use at least three features for your predictions.
6) Provide statistics on how well your trained model performs. (You will have three trained models for each selected algorithm)
7) Run your trained models on the test set.
8) Provide statistics on how well each of the trained models performs on the test set.
9) Compare the performance between the models. (Provide statistical and graphical explanations.)
This is a very open exercise. I want to see what you can do with the data given a two-day time frame.
Please submit as an R markdown file named *YourName*_RFinal .

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