VirajDeshwal/Multiple_Linear_Regression_Backward_elimination

Backward Elimination for an optimized model in Multiple Linear Regression.

An Optimzed method to remove the multiclasses from the data and work with only two classes.
The reason behind this is that the visualization of a model is done only when we have two classes. That is X and Y.
Backward Elimination can be used in preprocessed step to use only the major impact classes from the dataset.