The goal of this project is to predict the yearly amount a customer spends based on various behavioral metrics collected from an e-commerce platform. By using linear regression, we …

In this blog, we’ll walk through a practical example of analyzing customer behavior in an e-commerce setting, building a regression model to predict total spend, and developing a simple...

Using real-world e-commerce data, we’ll build a predictive model that helps understand what drives customer spending. In this project, we’ll explore: How time spent on websites versus …

In this article, we will explore how to Create and train a machine learning model to predict the annual spending of a customer on an e-commerce Website. We will use a multiple linear …

Customer spending is the most important factor in the e-commerce business, and we can make use of artificial intelligence, machine learning techniques, and their predictive capability for …

🚀 Just completed an Ecommerce Customer Behavior Analysis project using Python! Explored user behavior 📊 Visualized key trends 📈 Built and evaluated a Linear Regression model to predict …

Sep 1, 2023 · Built a Machine Learning model that uses linear regression to predict the yearly amount spent by customers in an ecommerce

In this project, I applied different machine learning algorithms such as Linear Regression, Ridge Regression, Lasso Regression, Random Forest, for the dataset and find out the algorithm …

Learn how to predict annual spending on an E-commerce website using multiple linear regression in this Python machine learning project.

In recent years, for predicting and reducing client churn machine learning techniques are powerful tools. This research aims to explore the use of machine learning algorithms for predicting …