Assignment3

[drdhennessy]

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

adding code amd answering assignment questions.

What did you learn from the changes you have made?

learned more about the python libraries.

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

I tried two different approaches for Q4 and reported them both.

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

not really

How were these changes tested?

in python.

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

n/a as of now

Checklist

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

[Dmytro-Bonislavskyi]

Hi @drdhennessy!
You're almost done! Just one small issue to address:

While calculating the mean of Petal Width, you are using the sample provided before bootstrapping.:
petal_widths = iris_df['petal width (cm)']
mean_petal_width = np.mean(petal_widths)

However, the task required calculating the mean of the bootstrapped samples like:
np.mean(bootstrapped_means)

Please make this correction and push the new commit. Then we’re done with LCR :)

[Dmytro-Bonislavskyi]

Hi @drdhennessy

I checked once again, and due to some ambiguity in the task description, I have decided to approve your commit with the current implementation. :)