Classification vs Regression

The video tutorial explains supervised learning, focusing on classification and regression problems. It describes how classification involves predicting categorical variables, while regression deals with continuous quantities. Examples include predicting student grades and smartphone prices, illustrating the application of classification and regression algorithms.

What are the implications of using the wrong algorithm for a given problem type in machine learning?

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How can a regression problem be transformed into a classification problem? Give an example.

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