Regressions

Description: Join Hayley to build upon what you learned in the "Supervised Learning" and "Classifications" module and begin to explore regressions. This is the other problem type you can work with in One AI, with the group attrition recipe being a regression model client favorite.

Module Type: Foundational foundation sym.png

Level: Beginner I-PaperPlane.svg 

Audience: All

Prerequisites: "Introduction to Machine Learning" & "Supervised Learning" module

Run time: ~12 minutes

Module Sections:

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

01:16 - Regression Overview

03:43 - Regularization

04:28 - Common Regression Algorithms

07:03 - Strengths & Weaknesses of Regressions

09:25 - People Analytics Use Cases

11:43 - Conclusion & Thanks

 

The module transcription is attached below as a pdf.

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