Importance of Feature Scaling in Data Modeling (Part 1)

In data science, one of the challenges we try to address consists on fitting models to data. The objective is to determine the optimum parameters that can best describe the data. For example, if we have the following linear model: we want to determine the optimum β's which best fits the observed values of y. A challenge that we face is that the range of the values for X can be different. For example, X1 and X2 can range from 0 - 1 and 0 - 1e20, respectively. Therefore, the