What is the importance of feature selection in data science?

Feature selection is a crucial step in data science that involves identifying and selecting the most relevant and informative features from a dataset. It helps in improving model performance, reducing overfitting, and increasing interpretability. By selecting only the most informative features, feature selection can simplify the model, reduce training time, and enhance generalization to unseen data. It also helps to mitigate the curse of dimensionality by eliminating irrelevant or redundant features that may introduce noise or decrease model accuracy. If you want to start your career in the tech field then choose Data Science training course in Meerut is the best choice.

Python 14-07-23, 5:18 p.m. Muskan
Teachers construct interactive presentations usingPear Deck, and students join these presentations by inputting a Joinpd code that their teacher has provided.
17-07-23, 2:59 p.m. jenonov937

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