• SUPREET SINGH THAKUR
• Vani Ashok
• Rahul R Kamath
• Adithya R K
• Ajay Bhati

Customer segmentation is the process of dividing customers into groups based on common characteristics so that companies can target each group efficiently. With the increase in businesses coming up every day, it has become significantly important for the old businesses to apply marketing strategies to stay in the market as the competition is increasing. This project is an attempt to classify the customers into different categories using unsupervised learning and train supervised learning classifiers using this data and decide the best classifier based on the values of accuracy. In this project many machine learning libraries present in Python are used to perform different operations. KNN, Random Forest, Gradient Boost are the supervised learning algorithms used and an accuracy of 68.29, 75.50, 75.77 was achieved respectively during testing.

Segmentation, KNN, Random Forest, Gradient Boost

"Customer segmentation in E-commerce", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.a908-a913, July-2021, Available :http://www.jetir.org/papers/JETIR2107116.pdf

"Customer segmentation in E-commerce", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppa908-a913, July-2021, Available at : http://www.jetir.org/papers/JETIR2107116.pdf