To begin, what is regression in terms of us using it with machine learning? The goal is to take continuous data, find the equation that best fits the data, and be able forecast out a specific value. With simple linear regression, you are just simply doing this by creating a best fit line.
From here, we can use the equation of that line to forecast out into the future, where the 'date' is the x-axis, what the price will be.
A popular use with regression is to predict stock prices. This is done because we a
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