K-means Clustering

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  1. K-means Clustering

    Question 1 of 1

    • Using Credit Card Customer Data, perform K-means clustering: 1. Load and explore the dataset. 2. Perform necessary cleaning (missing, duplicate values). 3. Perform feature scaling and encoding if required. 4. Train K-means model for K=1 to 10 and plot the Elbow curve. 5. Select optimal K and assign cluster labels to customers.