Getting acquainted with the Data

Customer Segmentation with K-Means Clustering

Data Source

The data that I'll be using is a popular public dataset on Kaggle called 'Mall Customer Segmentation Data', which can be found at this link

LogoMall Customer Segmentation Data

A look at the data

The dataset has 5 columns x 200 rows

Source: Kaggle

  • Customer ID: Unique ID assigned to the customer

  • Gender: Gender of the customer

  • Age: Age of the customer

  • Annual Income (k$): Annual Income of the customer

  • Spending Score (1-100): Score assigned by the mall based on customer behavior and spending nature. The higher the score is, the more the customers spend.

I will start by performing K-Means Clustering on 2 variables, and then increase the number of variables gradually.

PreviousAbout the ProjectNextK-Means Clustering with two variables

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