In this assignment use customer_data.csv, you will conduct data mining analysis on customer data which have basic data l

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In this assignment use customer_data.csv, you
will conduct data mining analysis on customer data which have basic
data like age, gender, annual income in k$ and spending score. The
goal of this assignment is to identify customer cluster 'segments'
using K-Means Clustering in order to gain insight which customers
segments should the company target for marketing.
1. Select columns Income and Spending into X
2. Scale the data using StandardScaler and output the results to
scaled_X
3.Run PCA on X and output the results in X_pca
4.Run silhouette analysis and select the optimum n_clusters
5. Run KMeans with optimum K and predict the output into
cust_km_output
Using Python please.
Use ANY customer.csv datatset (does not matter, I just need the
solution to run)