From the course: Complete Guide to AI and Data Science for SQL: From Beginner to Advanced
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Non-parametric Regression Methods - SQL Tutorial
From the course: 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…
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Model Diagnostics and Assumption Testing5m 18s
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Unlocking the Secrets Behind Coefficients3m 55s
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Polynomial Paths and Interactions3m 33s
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Striking a Balance with Regularization Techniques3m 34s
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Beyond the Basics - Advanced Model Evaluation Metrics3m 58s
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Non-parametric Regression Methods4m 24s
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Case Studies in Regression Analysis3m 3s
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