Applying Filter Methods in Python for Feature Selection
Introduction Machine learning and deep learning algorithms learn from data, which consists of different types of features. The training time and performance of a machine learning algorithm depends heavily on the features in the dataset. Ideally, we should only retain those features in the dataset that actually help our machine learning model learn something. Unnecessary and redundant features not only slow down the training time of an algorithm, but they also affect the performance of the algorithm. The process of […]
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