Feature Selection with sklearn and Pandas

Feature selection is one of the first and important steps while performing any machine learning task. A feature in case of a dataset simply means a column. When we get any dataset, not necessarily every column (feature) is going to have an impact on the output variable. If we add these irrelevant features in the model, it will just make the model worst (Garbage In Garbage Out). This gives rise to the need of doing feature selection.