Cross Validation

Description: Join Austin to learn about cross validation, the technique used to assess the performance of machine learning models on new, unseen data. Learn how this process also helps prevent overfitting!

Module Type: Foundational foundation sym.png  & Functional function sym.png

Level: Intermediate I-Plane.svg 

Audience: All

Prerequisites: "Data Exploration" module & it's prerequisites 

Run time: ~4 minutes

Module Sections:

00:00 - Intro, Topics Covered, & Learning Outcomes

00:53 - Overview of Cross Validation

01:59 - Importance of Cross Validation

03:36 - Cross Validation in One AI

04:04 - Conclusion & Thanks

 

The module transcript and slide deck are attached below as PDFs.

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