Assignment 2 completed

[oshmen71]

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

Python code to analyse data set

What did you learn from the changes you have made?

Regression concepts

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

Practice personally

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

errors in codes, google

How were these changes tested?

run code and test with the assignment guide

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

Checklist

• I can confirm that my changes are working as intended

[fyellow]

You’re close, but a couple of things to fix:
Don’t rename your predictors to feature_0, feature_1, etc. keep the original column names so the coefficients are interpretable.

The sklearn warning is happening because you fitted with a DataFrame that has column names, but predicted with raw arrays. Keep the feature names consistent between training and testing.

[fyellow]

Assignment 2 is complete, please note that you have assignment 3 in the same pull request

[DwardEE]

Great work!

Everything seems correct. However, you did not answer the reflection question (“What method to determine optimal k?”).

Please give a short response and resubmit the completed assignment.

[oshmen71]

Great work!

Everything seems correct. However, you did not answer the reflection question (“What method to determine optimal k?”).

Please give a short response and resubmit the completed assignment.

Hi new pull request #3