Ever thought about doing magic or predict future? Here is the guide! lol! In this article lets go programming with sklearn package to explore Linear…
R Squared is one of the metrics by which we can find the accuracy of a model that we create. R squared metrics works only…
Gradient descent is an optimization algorithm used to minimize a cost function (i.e. Error) parameterized by a model. We know that Gradient means the slope of a surface…
Linear Regression is a linear approach to model the relationship between a two or more variables by fitting a straight line i.e. linear, to predict the…