# Basic assumptions to be taken care of when building a predictive model

Before starting to build on a predictive model in R, the following assumptions should be taken care off; Assumption 1: The parameters of the linear regression model must be numeric and linear in nature. If the parameters are non-numeric like categorical then use one-hot encoding (python) or dummy encoding (R) to convert them to numeric. Assumption…