Online Workshop – Predict values with regression
The essence of linear regression is arguably the simplest form of ML: drawing a line through points. You might have done a simple form of this in your high school physics class: plot the results of a series of experiments on graph paper and then draw a line through as many points as possible (and include as many points below the line as above the line where the points don’t fall on the line). That is a very form of linear regression. We will build on that conceptual foundation to address more complex situations, such as having points in more than two dimensions or even points whose relationship seems non-linear.
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