When users are shopping online, not all will end up purchasing something. Most visitors to an online shopping website, in fact, likely don’t end up going through with a purchase during that web browsing session. It might be useful, though, for a shopping website to be able to predict whether a user intends to make a purchase or not: perhaps displaying different content to the user, like showing the user a discount offer if the website believes the user isn’t planning to complete the purchase. How could a website determine a user’s purchasing intent? That’s where machine learning will come in. I've built a nearest-neighbor classifier to solve this problem. From the given information about a user, how many pages they’ve visited, whether they’re shopping on a weekend, what web browser they’re using, etc. , the classifier will predict whether or not the user will make a purchase. Source code of the project demonstration is given below : https://github.com/diesel707/Knights/tree/shoppin...