In Data Engineer's Lunch #67, Obioma Anomnachi will discuss the process of feature selection as part of a Machine Learning process. Feature selection describes the process of picking particular, relevant data features out of a wider data set, to be used to perform model training.
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TIMESTAMPS
00:00 Data Engineer's Lunch Introduction
08:01 Machine Learning - Feature Selection Presentation Deck
23:50 Machine Learning - Feature Selection Demo
50:36 Questions / Comments
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