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

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

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Information Technology (IT), Architecture

University

Hard

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This video introduces regression as a type of supervised learning where the target is a continuous value rather than categorical. It explains the concept of features and targets, using house price prediction as an example. The video also discusses the possibility of having multiple targets in regression problems, such as predicting maximum and minimum temperatures. The session concludes with a preview of practical coding in a Jupyter notebook, to be covered in the next video.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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