Machine learning models are mathematical models that required numeric and integer values for computation. Such models can't work on categorical features. That's why we often need to convert categorical features into numerical ones. Machine learning model performance is affected by what encoding technique we use. Categorical values range from 0 to N-1 categories.





















































