Linear Regression Using Different Gradient Descent

Gradient Descent Gradient Descent is the most popular optimizer to update parameters and it uses the gradient of the error with respect to the parameter. But the parameter update rule is different and thus there are different variants of Gradient Descent. Mini- Batch Gradient Decent It is the simplest algorithm, where we update parameters in […]

Writing a Linear Regression Class from Scratch Using Python

Linear Regression Introduction Before there was any ML algorithms, there was a concept and that was regression. Linear Regression is considered as the process of finding the value or guessing a dependent variable using the number of independent variables. Take for a example:- predicting a price of house using variables like, size of house, age […]

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