Assignment 2 - LCR

[vanya-geo]

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

Adding a completed jupyter notebook for assignment 2.

What did you learn from the changes you have made?

I learned some syntax around lm fitting and about the RMSPE measure of fit.

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

I had some challenges with putting the correct df shapes into the lm.fit(). It was the difference between df[[column1, column 2,..]] and df[column1, column 2,..].

How were these changes tested?

Restart the kernel and run all cells. Everything ran correctly.

A reference to a related issue in your repository (if applicable)

-- PS: I hope I got the git pull requests right. I mean for this to be a new pull request, not part of the previous one.

Checklist

• [ X] I can confirm that my changes are working as intended

[PatelVishakh]

Assignment 2: Incomplete, Needs some changes.

Required changes:


Q2) I) Also Should explain what Positive, Negative and No association imply about the relationship with the response i.e. when model year increases on average the MPG goes down.

Q2) II) Should Also explain the plotted line represents the line of BEST FIT with respect to the mean of sum of squared errors. 



Q4) In the context of this module by RMSPE we are referring to Root Mean Square Prediction Error and not Percentage Error.

[vanya-geo]

Thank you for the feedback. I've made the changes you requested. All changes are marked with "EDIT: ".

[PatelVishakh]

Assignment 2 Complete.