In this episode I tried to explain the term linear, regression it's types with the help of the physical interpretation using Linear thinking in this non linear world Regression is a measure of the relation between the mean value of one variable (e.g. output) and corresponding values of other variables (e.g. time and cost). Linear Regression is a supervised machine learning algorithm where the predicted output is continuous and has a constant slope. It's used to predict values within a continuous range, (e.g. sales, price) rather than trying to classify them into categories (e.g. cat, dog). 

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