8 Plots for Explaining Linear Regression | Residuals, Weight, Effect & SHAP

For data scientists, a regression summary might be all that's needed to understand a linear model. However, when explaining these models to a non-technical audience, it’s crucial to employ more digestible visual explanations. These 8 methods not only make linear regression more accessible but also enrich your analytical storytelling, making your findings resonate with any audience.

We understand how to interpret:
- Residual plots
- Correlation heatmaps
- Weight plots
- Effect plot
- Mean effect plot
- Individual effect plot
- Trend effect plot
- SHAP values for linear models

🚀 Free Course 🚀
Signup here: https://mailchi.mp/40909011987b/signup
XAI course: https://adataodyssey.com/courses/xai-with-python/
SHAP course: https://adataodyssey.com/courses/shap-with-python/

🚀 Companion article with link to code (no-paywall link): 🚀
https://medium.com/data-science/8-plots-for-explaining-linear-regression-to-a-layman-489b753da696?sk=ae508ca38771f36045312a27b81ffa75

🚀 Useful playlists 🚀
XAI: https://www.youtube.com/playlist?list=PLqDyyww9y-1SwNZ-6CmvfXDAOdLS7yUQ4
SHAP: https://www.youtube.com/playlist?list=PLqDyyww9y-1SJgMw92x90qPYpHgahDLIK
Algorithm fairness: https://www.youtube.com/playlist?list=PLqDyyww9y-1Q0zWbng6vUOG1p3oReE2xS

🚀 Get in touch 🚀
Medium: https://conorosullyds.medium.com/
Threads: https://www.threads.net/@conorosullyds
Twitter: https://twitter.com/conorosullyDS
Website: https://adataodyssey.com/

🚀 Chapters 🚀
00:00 Introduction
0:37 Credit risk dataset
2:20 Residual plots
4:02 Correlation heatmaps
5:01 Weight plots
6:03 Effect plot
8:17 Mean effect plot
9:11 Individual effect plot
10:37 Trend effect plot
12:06 SHAP values

Видео 8 Plots for Explaining Linear Regression | Residuals, Weight, Effect & SHAP канала A Data Odyssey