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Implement Mall Customers Segmentation using K Means Clustering and Python Machine Learning by Dr. Mahesh Huddar In this video, I have discussed how to create clusters (segments) of customers who have visited MALL based on annual income and spending limit using K-Means Clustering in Python. Clustering is a set of techniques used to partition data into groups or clusters. K-Means Clustering is an Unsupervised Learning Algorithm, which groups the unlabeled dataset into different clusters. The k-means clustering algorithm mainly performs two tasks: Determines the best value for K center points. Assigns each data point to its closest k-center. ******************************** 1. Blog / Website: https://www.vtupulse.com/ 2. Like Facebook Page: https://www.facebook.com/VTUPulse 3. Follow us on Instagram: https://www.instagram.com/vtupulse/ 4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates
