Used K-Means clustering algorithm under unsupervised learning Used Elbow method to predict how many clusters would be best fit for the model Used WCSS to get the right prediction score Used Kaggle dataset for the same Check it once
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Ansh2709/Customer-Segmentation-ML-Project
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Project segregates the customers on the basis of their spending score and annual income using K-Means Clustering that is a part of unsupervised learning
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