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How does EDA influence feature selection?Exploratory Data Analysis plays a vital role in the selection of features by providing a deeper understanding of the data. It also guides the identification of relevant characteristics that contribute significantly to the model performance. EDA is the process of analyzing datasets in order to discover patterns, identify anomalies, test hypothesis, and verify assumptions. This is done using...0 Comments 0 Shares 993 Views 0 ReviewsPlease log in to like, share and comment!
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What are the benefits of A/B testing in model evaluation?A/B testing is a effective procedure for assessing machine learning models, advertising a organized approach to comparing distinctive models or varieties of the same demonstrate in real-world scenarios. By arbitrarily separating clients or information into two groups—one accepting the current demonstrate (control) and the other encountering a unused demonstrate...0 Comments 0 Shares 2K Views 0 Reviews
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