Learning Feature Selection for Building and Improving your Machine Learning Model 7wData

Usually, the task of model building gets reduced to trying all sorts of fancy algorithms - from standard machine algorithm to Deep learning models. But, if we are going to feed garbage to our machine learning algorithm, garbage is going to come out of it (GIGO). In model building, Feature selection/creation is a step where maximum time should be spent. Feature selection is somewhat easier than feature creation. Feature selection is a well-researched area and most of the Data Science algorithms offered under Python or R have automated this process. Feature creation is a bigger dragon to slay.