07 Data Science Interactive: Correlation Coefficients with Outliers

Data Science Interactive Python Demonstrations: Chapter 07: Correlation Coefficients with Outliers
In this walk-through, I explain the concept of correlation for machine learning feature engineering and focus on the limitation of sensitivity to outliers. This then motivates the introduction to the rank correlation coefficient and a comparison between both regular correlation coefficient and rank correlation coefficient as we move around an outlier.
Follow along with the interactive Python code in a Jupyter Notebook available in my GitHub repositories github.com/Geo... . For more complete lectures check out my other KZbin lectures with linked Python workflows and demonstrations:
Correlation Analysis:
• 08 Data Analytics: Cor...
Univariate Statistics:
• 04 Data Analytics: Uni...
Principal Components Analysis:
• 08b Machine Learning: ...

[@khaledsaleh2605]

Thanks for the very nice demonstration 👍