--> DATASET :
This dataset is taken from https://www.kaggle.com/datasets/vjchoudhary7/customer-segmentation-tutorial-in-python
ABOUT THE DATASET :
This file contains the basic information (ID, age, gender, income, spending score) about the customers.
--> METHODOLOGY :
The libraries used for this project to implement are :
● NUMPY
● PANDAS
● MATPLOTLIB
● SEABORN
● SKLEARN
The optimum number of clusters used this project are 5.
WCSS(Within Clusters Sum of Squares)
As you can see in WCSS the Preferred Cluster is 5 so I clustered my Datasets into 5.
--> OUTPUT :
The resultant output for the following projects is :
