Overview

Teaching: 10 min
Exercises: 0 min

Questions

Objectives

Excerise 1

There were exercises throughout the sections that we covered today. If you didn’t get chance to do them then please go back and have ago at them now. If completed, go on to exercise 2.

Excercise 2

Download File

Please use the download link to be able to access the penguin dataset which will be used for this exercise.

Task 1:

Using the penguin dataset do some k-means clustering using the features: bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g and species as the labels. Use any combination of the features you want. Please produce a plot of your results of k-means. Do the same again but with Spectral clustering and a plot would be nice.

Task 2:

Now its time to do some dimensional reduction, so using PCA and Tsne please create a plot of your data using each method. If you want to be adventurous, try reducing them to 3 dimension and creating a 3D plot.

Task 3:

Have ago at fitting a linear and Logistic Regression models to your data. again plots would be nice.

Key Points