submitting assignment 3

[dianayangs]

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

changes to assignment 3

What did you learn from the changes you have made?

I learned how to cluster and bootstrap using python

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

not necessarily, I was comparing it to how I would normally do this with the R language

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

had troubles with running the last bootstrap chunk since I have minor spelling errors (with american vs canadian spelling) but I combed through my code and found my mistakes

How were these changes tested?

I ran the chunk until no errors occurred

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

Checklist

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

[anjali-deshpande-hub]

Looks good. Just a couple of review changes requested.

1. Question 2: Could you please mention one pair of features that show visible clustering between wines.
2. Question 5: The bootstrap mean is to be calculated from the original dataset instead of bootstrap samples. Its related to this line of code:
   print(f"Mean of Color Intensity: {mean_color_intensity}")

You can do:
mean_color_intensity = wine_df['color_intensity'].mean()

[anjali-deshpande-hub]

All review corrections done successfully. Thank you.