Feature selection in machine learning: simple explanations for data science interviews

Feature selection in machine learning: simple explanations for data science interviews

HomeEmma DingFeature selection in machine learning: simple explanations for data science interviews
Feature selection in machine learning: simple explanations for data science interviews
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Job selection questions often appear in data science interviews. In this video I discuss the usefulness of feature selection, how to use feature selection with over 10,000 features, how to calculate feature importance, and the pros and cons of different selection methods!

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Contents of this video:
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00:00 Introduction
00:32 Function selection
02:43 Feature selection methods
02:55 Intrinsic methods
05:20 Filter methods
07:15 Wrapper methods

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