Working post: CEO, Director, Manager, Assistant Manager, etc.Since we are operating on categorical values in this article, it is very important to understand what categorical variables are.Ĭategorical data are typically stored in text format which basically represents traits. To learn more about encoding categorical values you can check out the complete guide provided by NIIT Understanding categorical data and its types In this article, you will find various and most suitable methods of encoding categorical values using python according to your categorical data.

All these add to the importance of encoding categorical values as the algorithm’s performance can vary based on how categorical variables are encoded which is nothing but encoding categorical data into numeric form before evaluation of the model. Data sets do contain categorical values which are usually in text format which machine learning models cannot assess and hence converting categorical data is an unavoidable activity. Though performance depends upon the model and its hyper-parameters, still data processing and feeding of variables are very important for result optimization. It takes hours of work to develop a machine learning algorithm.

Label encoding in python