Web Reference: Mar 19, 2017 · Identifies the best-fitting straight line (regression line) that minimizes the difference between predicted and actual values. Learns the relationship between independent (input) variables and the dependent (target) variable using a training dataset. Calculates coefficients (weights) and intercept to define the linear equation for prediction. In this video, we'll learn how to do both simple and multiple linear regression using Python and the sklearn module. I'll show some step-by-step coding examples using a Jupyter notebook. Python has methods for finding a relationship between data-points and to draw a line of linear regression. We will show you how to use these methods instead of going through the mathematic formula.
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