Customer Behavior Prediction Using Web Usage Mining

Self-Paced Project

Fee: ₹499

Objectives

The Customer Behavior Prediction Using Web Usage Mining project involves analyzing the web usage data of customers visiting an e-commerce website to predict their behavior. The project aims to provide businesses with valuable insights into customer behavior patterns and trends, enabling them to improve their marketing strategies, customer engagement, and ultimately increase sales. The project involves collecting and preprocessing web usage data, identifying patterns and trends in the data using data mining techniques, developing a predictive model to forecast customer behavior, and evaluating the performance of the model. The ultimate goal of the project is to provide insights into customer behavior patterns and trends to improve the e-commerce website's user experience and marketing strategies. The project utilizes Python programming language, data preprocessing techniques, data mining and machine learning algorithms, statistical analysis and modeling, and web analytics and customer behavior analysis. The project also involves project management and documentation skills.

Collect web usage data of customers visiting an e-commerce website

Preprocess the web usage data to remove noise and irrelevant information

Identify patterns and trends in the web usage data using data mining techniques

Develop a predictive model to forecast customer behavior on the e-commerce website

What Will You Learn

Web usage data collection and preprocessing Data mining and machine learning techniques for pattern identification Statistical modeling and predictive modeling Performance evaluation and optimization of predictive models Web analytics and customer behavior analysis Marketing strategy development and optimization Project management and documentation skills.