From the course: Complete Guide to AI and Data Science for SQL: From Beginner to Advanced
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Model Diagnostics and Assumption Testing - SQL Tutorial
From the course: Complete Guide to AI and Data Science for SQL: From Beginner to Advanced
Model Diagnostics and Assumption Testing
- [Instructor] Welcome back to your journey through the world of machine learning and regression analysis. After exploring the construction and application of regression models, let's pivot to a crucial phase, ensuring the integrity and reliability of your models through diagnostic and assumption testing. Imagine your skate park is bustling with skaters, each maneuvering the ramps with their unique style. Just as a skate inspector assesses the part's safety and design, model diagnostics allow you to evaluate your regression model's health, ensuring it accurately captures the essence of your data story. Earlier, you touched on the foundational assumptions of regression analysis as you explored the relationship between skate park design, or predictor variables, and skater performance or outcome variable. These assumptions include: linearity, independence, homoscedasticity, and your normality of residuals, which are…
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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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