课程: Complete Guide to AI and Data Science for SQL: From Beginner to Advanced
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Non-parametric Regression Methods - SQL教程
课程: Complete Guide to AI and Data Science for SQL: From Beginner to Advanced
Non-parametric Regression Methods
- [Narrator] Up to this point, your exploration has been largely guided by structured paths of linear and polynomial regression models. However, just like a skate park with its unexpected twists, turns, and obstacles, real world data often defy these linear confines, presenting you with patterns and relationships that are intricate and nonlinear. It's time to introduce nonparametric regression methods, your toolkit for navigating these complex terrains. Nonparametric regression methods are like freestyle skateboarding, where the skater is not limited to predefined ramps or obstacles, but creatively interacts with the environment using its unique features to perform tricks. Similarly, nonparametric methods do not assume a predetermined form for the relationship between variables, offering you the flexibility to model data as it is in all its complexity. Here are three nonparametric regression methods: Decision trees, random forests, and support vector machines. Starting with decision…
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Model Diagnostics and Assumption Testing5 分钟 18 秒
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Unlocking the Secrets Behind Coefficients3 分钟 55 秒
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Polynomial Paths and Interactions3 分钟 33 秒
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Striking a Balance with Regularization Techniques3 分钟 34 秒
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Beyond the Basics - Advanced Model Evaluation Metrics3 分钟 58 秒
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Non-parametric Regression Methods4 分钟 24 秒
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Case Studies in Regression Analysis3 分钟 3 秒
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