In the video, Mr. Andrew mentioned that area can be used as a third feature for the linear model. But instead of adding it as a third feature, can’t we just eliminate the first two features (frontage and depth), and use area as the only feature for building the linear model? By doing this, could th…

Doubt in Feature Engineering - House Example

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification

TMosh October 11, 2022, 2:49pm 2

Yes, you could. But it’s usually a very bad idea to throw away any data when you’re creating a model. You don’t really know in advance which ones may be very important.

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Doubt in Feature Engineering - House Example

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