User’s behaviour prediction in eshop

The ability to predict user’s behaviour is nowadays immensely important
for many areas of our life. In the e-commerce domain, it is popular because it allows sellers to better understand customers and their behaviour.
In this work, we analyze different ways of predicting customer behaviour using machine learning. The goal was to create a model that would make it possible to tell if a customer is making a purchase in eshop.
The result of this work is evaluation of accuracy and comparing of different prediction models.

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