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Industry Use Case
Browsing or Purchasing: Predicting Online Shoppers Purchasing Intentions
This project focuses on the application of classification models to identify potential customers among different browsers of an E-Commerce website.
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Difficulty: AdvancedDesigned for those with a technical background or industry experience
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Difficulty: Approximately 3 hours
Course Overview
- Due to widespread access to the internet and a growing number of companies, today consumers have a plethora of choices before finalizing the item to purchase. Many times, people also like to casually explore different items from a website for future reference or even check latest products.
- However, there can also be a significant fraction of the site users who are willing to purchase a product and hence, they have different patterns while using the site. As such, it becomes important for the company to carefully display the relevant items to those specific users and thereby, support them in purchasing the product.
- Machine learning algorithms can provide significant support by analyzing the user’s online behavior and identifying them as potential customers and determining their purchasing intent.
- Learn to apply classification algorithms to analyze online user activities and patterns and identify potential customers, distinctly from casual browsers.
What’s included
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Skills you will learn
Associated Learning Tracks
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