Task: Clustering

Using Titanic train.csv dataset - same as previous HWs:

[15pt] Prepare the dataset for analysis. In this analysis, we use "pclass", "fare", "age", "sex", "embarked" as input variables. Please perform necessary cleaning and transformation.

[45pt] Implement the 2 clustering algorithms - K-means and Hierarchical Clustering, and add the cluster labels to the dataset as a new column. Please set # of clusters = 3 for both algorithms.

[40pt] For K-mean algorithm, make an Elbow plot using K from 1 to 20 and calculate the WCSS. Please show the plot and answer the question "which K should we choose". You can modify the code I provided in the class - no need to write your own from scratch.