Today we are providing a take a look at a dataset of toys for sale on Amazon.com. The dataset includes the price of each product as well as other useful information such as the review score, manufacturer, category, and more!
Using this can you build a model to predict the price of each item? What features are the most significant?
Much of the data will need some cleaning to get it into a good state for modeling, so get ready for some data prep! Most challenging (but potentially very valuable) are the customer reviews - sentiment analysis anyone? Good luck!
This data is generously provided by PromptCloud (edited by us to remove some irrelevant datapoints) under this licence.
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