• Mrs.P.Rajeshwari
• G. Shravya
• Jeet S Patel
• K.Dinesh

Customer Segmentation is the manner of dividing customers who might be applicable to advertising based on criterias such as gender, age, interests, and miscellaneous spending habits. The main purpose for any organization and enterprise is to recognize their centered clients, How their purchasers perform and use their offerings. Every customer may also use a organization’s offerings differently. The trouble we’re seeking to remedy is to outline this organization’s purchasers. To outline positive behaviours and techniques those purchasers use the organization’s offerings for. Companies that set up customer segmentation are in a belief that each client has special necessities and require a selected advertising attempt to cope with them appropriately. Companies intend to benefit a deeper expertise of the client they are targeting. Therefore, their intention needs to be unique and ought to be tailor-made to cope with the necessities of each and every client. Furthermore, through the information collected, groups can benefit a deeper expertise of client alternatives in addition to the necessities for coming across treasured segments that might achieve them most profit. This way, they could strategize their advertising strategies correctly. Customer Segmentation is one of the common application of unsupervised machine learning.. In this paper we have proposed a solution based on K-Means clustering which is a powerful method for clustering unlabelled dataset. The technique is to discover key attributes using which the customers can be grouped and gather few insights after visualizing the information. Data associated with demographics, geography, economic popularity in addition to behavioural styles can play a critical role in figuring out the organizations purpose in identifying their customer base.

Cluster , K-means , Elbow , Exploratory Data Analysis.

"CUSTOMER SEGMENTATION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.a681-a684, April-2022, Available :http://www.jetir.org/papers/JETIR2204086.pdf

"CUSTOMER SEGMENTATION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppa681-a684, April-2022, Available at : http://www.jetir.org/papers/JETIR2204086.pdf