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Suppose you went to a store or a website to purchase yourself a new smartphone. You are wondering how the price you are going to pay for it compares with the other smartphones. One way of doing that is you list down the feature(s) (i.e. specifications of processor, operating system, brand name, camera, etc.) and the target prices of some of the smartphones you want to compare, and you try to come up with some prediction.
You can do the same thing more effectively using machine learning. You train a machine learning model with the features and the target. Finally, you give features of new smartphone for getting the expected value.
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