In the modern data-oriented world, various organizations generate enormous amounts of data. Whether it is data concerning customer behavior or data related to industrial processes, all such data has the potential to provide valuable insights. Raw data, however, is usually full of noise, redundant information and irrelevant variables. This is where feature selection comes in, In a world of big data and complex algorithms, being able to simplify and refine your dataset is an art as much as it is a science.