Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Regression Exercise

The video explores the use of machine learning models, specifically classifiers and regressors, and their ability to process input feature vectors to produce labels. It questions whether classification APIs can be used for regression problems and vice versa, encouraging viewers to think intuitively about the interchangeability of these models. The video concludes with a prompt to consider these questions further in the next video.

What is the main difference between a classification model and a regression model?

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What factors should be considered when deciding whether to use a classification or regression model?

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Can a classification API be used to solve a regression problem? Explain your reasoning.

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What are the potential outcomes when using a regression pipeline for a classification problem?

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Discuss the implications of using the wrong model type (classification vs regression) in a machine learning task.

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