This project aims to use the information customers may leave in the form of the trace of browsing history data or user information when they visit an online shopping site. With the help of this information, the project aims to predict online shoppers' purchasing intention by using clickstream and session information data. The project aims to create a machine learning model based on this information to predict customer's purchasing intention. The Objective of the project is to build a Machine Learning Model that can predict customers purchase intention as accurately as possible.
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This project aims to predict online shoppers' purchase intentions using browsing history and user data from e-commerce sites. By analyzing clickstream and session information, the goal is to create a machine learning model that accurately forecasts customers' likelihood of making a purchase.
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Salman-Khan-Mohammed/Predicting-the-Intent-of-Online-Shoppers
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This project aims to predict online shoppers' purchase intentions using browsing history and user data from e-commerce sites. By analyzing clickstream and session information, the goal is to create a machine learning model that accurately forecasts customers' likelihood of making a purchase.
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