For more accuracy while fitting a linear model, we drop the input variables/features which are not significant(i.e pvalue>0.05) and whose variation inflation factor is  greater  than 5,I have landed up in a case where both input variables are highly correlated ...Read more

Why is scaling for numeric variables done before splitting it into a train & test dataset?

Why do we need an intercept in a linear regression model? If we use statsmodel.OLS do we need to add the intercept explicitly and how do we do it?

I was working on Dataset of Insurance in Python it had both categorical and numeric variables. For fitting a linear regression model I did the conversion of categorical to dummy variable, did scaling of whole data frame afterwards, after splitting ...Read more

How do I know if my model is Overfitting or Underfitting?

Is it possible export or save a model so that whenever i want i can run the model if so how should i do it?