Four Popular Feature Selection Methods for Efficient Machine Learning in Python

Feature selection is one of the most important parts of machine learning. In most datasets in the real world, there might be many features. But not all the features are necessary for a certain machine learning algorithm. Using too much unnecessary features may cause a lot of problems. The first one is definitely the computation cost. The unnecessarily big dataset will take an unnecessarily long time to run the algorithm.