55. Multiple Regression: More Features, More Power (And More Ways to Break Things)

In the last post, you predicted house prices using one feature. One number in, one number out. Real problems don't work like that. House prices depend on size, location, number of rooms, age of the building, crime rate in the area, school ratings, and a dozen other things. Using just one feature leaves most of the useful information on the table. Multiple regression is the same idea as linear regression, just with more inputs. Sounds simple. But more features brings new problems you need to know