Linear Regression

Linear regression is a supervised machine learning technique where we train a ML algorithm on labeled datasets. Basically, it is a statistical model that identifies the relationship between independent and dependent variables. Here, we predict the target value based on input variables. The linear regression model finds the best-fit line for our model.

The hypothesis for linear regression is defined as:

y = m*x + c

• y: output variable


• m : gradient


• x : input variable


• c : intercept

When …

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