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Kevin from Data School shares an excerpt from a private QA webcast on selecting the best features for machine learning models. A viewer asks about extracting features in logistic regression and other classifier algorithms. The viewer has a model with over 400 features and is looking for the best way to use feature importance/selection. Kevin simplifies the question to focus on feature selection.