Linear Regression for Machine Learning

Feature Scaling: The dataset may contain more than 1 column and in that case, if the range of one of the columns is 100–1000 and the other column is 0–1. Then linear regression may give more weightage to the first column than the other column because of its high value. That is why it is good to always scale your data before fitting the model. Linear Assumption: This is kinda self-explanatory. As the algorithm is literally named Linear Regression, it will not be able to handle data that does not fit into linear behavior.