Lecture

L2 Regularization in Diabetes Dataset Analysis

In course

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Description

This lecture covers the application of L2 regularization in analyzing the diabetes dataset. It includes loading the dataset, splitting it into train, test, and validation sets, plotting estimator components against regularization, finding the optimal regularization value, computing test error, and checking label predictions correlation.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_z64bk7al

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Ontological neighbourhood

Health sciences

Endocrinology: Lipid metabolism

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