• Sapna Kumari
• Prof. Anjul Rai
• Dr. kriti Jain

The development of Internet influenced many of our day-to-day activities. Ecommerce is one of the rapid growth areas in the Internet era. People are eager to buy products from online sites like Amazon, ebay, Flipkart etc. Online sites also provide facility for customers to write review on products they buy. These reviews help consumers and vendors for making decision on marketing strategies, and the improvement of products and services. Consumer behaviour models are typically based on machine learning, data mining of customer data, and each model is designed to answer one question at one point in time. Predicting customer behaviour is an uncertain and difficult task. Thus, developing customer behaviour models requires the right technique and approach. The artificial indigence based machine learning techniques are capable to predict he true and false review or provide the prediction model. This paper presents the customer behavior analysis in e-commerce using machine learning algorithm. Simulation is done using python spyder platform and simulated result shows the improvement in the accuracy of the prediction model.

Machine learning, E- Commerce, Python, Accuracy, Error rate

"Customer Behavior Analysis in E-Commerce using Machine Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.d726-d731, July-2022, Available :http://www.jetir.org/papers/JETIR2207396.pdf

"Customer Behavior Analysis in E-Commerce using Machine Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppd726-d731, July-2022, Available at : http://www.jetir.org/papers/JETIR2207396.pdf