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#featureengineering

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Eric Maugendre

@data @datadon 🧵

How to assess a statistical model?
How to choose between variables?

Pearson's #correlation is irrelevant if you suspect that the relationship is not a straight line.

If monotonic relationship:
"#Spearman’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".
"#Kendall’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."
Ref: statisticseasily.com/kendall-t

LEARN STATISTICS EASILY · Kendall Tau-b vs Spearman: Which Correlation Coefficient Wins?Discover why Kendall Tau-b vs Spearman Correlation is crucial for your data analysis and which coefficient offers the most reliable results.
#normality#normalDistribution#modeling
Emil Hvitfeldt

I'm beyond excited to finally announce my new book "Feature Engineering A-Z" 🎉

The vision for the book is to be a comprehensive collection of feature engineering methods. Describing how they work, when and why you should and shouldn't use it. Code snippets in both R and Python!

I have been working on this project over the last couple of years. Please read it if this interests you! Always looking for feedback!

feaz-book.com/
#featureEngineering #rstats #python #MachineLearning

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