Stephanie Shishis LCR Assignment-3 Completed

[StephanieShishis]

UofT-DSI | LCR - Assignment-3

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

I added code to assignment 3 which included data inspection, K-Means clustering and bootstrapping.

What did you learn from the changes you have made?

I learned how to properly standardize a dataset before clustering, learned how bootstrapping worked and how to interpret confidence intervals in relation to the mean.

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

I followed the class examples pretty closely to complete this assignment so I did not feel that I used another approach.

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

I had a few errors in Q4 and Q5. For bootstrapping I forgot the labelling cluster portion of the code which threw a large error. I also had typos using spaces instead of underscores. Lastly, I realized I was using the wrong quantiles (95% instead of 90%) in the assignment.

How were these changes tested?

I ran each code block to ensure no errors were thrown and double checked the assignment instructions to ensure I was not missing anything.

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

Checklist

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

[PatelVishakh]

Assignment 3: 
Complete! Great work.Recommended changes:

Q2) Although there is visible correlation, this would not help us differentiate between species but detecting if clusters occur in the our data can be used as an indicator of different species.

Vishakh Patel [LS]