课程: Complete Guide to AI and Data Science for SQL: From Beginner to Advanced

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Remixing Data with Bootstrapping

Remixing Data with Bootstrapping - SQL教程

课程: Complete Guide to AI and Data Science for SQL: From Beginner to Advanced

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Remixing Data with Bootstrapping

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- [Instructor] After fine tuning your models through cross-validation, making sure they're versatile enough to perform across various skate parks or data scenarios, you are ready to amp up your analysis with bootstrapping. This method builds on the foundation laid by cross-validation and enhances your model's reliability and accuracy. Bootstrapping is like watching a skater plan several runs in a skate park, mixing their tricks differently each time. They might decide to do a kick flip twice in one run or leave it out in another, using the same set of tricks to create new routines. This method where tricks or data points are reused or omitted in new combinations helps you check the skaters or your models reliability across these diverse attempts. This allows you to assess the stability of your model's predictions and parameters, giving you insights similar to but deeper than what cross-validation offered. Cross-validation was your method of making sure your model could perform…

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