Siddhant kohli·Sep 15Log Transformations:The Simple Trick That Makes Messy Real-World Data Easier to UnderstandA response icon1A response icon1
Mr. Vivek Kumar·Aug 3Feature Transformations ExplainedUnlocking Complex Transformations: The Power of Box-Cox and Yeo-Johnson Transformation
KoshurAI·Dec 24, 2025The Secret Sauce of Data Science: How the Box-Cox Transformation Turns “Ugly” Data into GoldHave you ever tried to force a square peg into a round hole?
KoshurAI·Dec 15, 2025The Magic of Data Transformation: Turning Skewed Data into Statistical Gold📊 Why Your Data Might Be Lying to You
InData Science ExplainedbyBilly Chan·Oct 31, 2025Log, Box-Cox, and Yeo-Johnson: Transform Skewed Data the Right WayLearn how logarithmic transformations make skewed data more normal, and why they don’t always work.
Tarun @ DataMantra·Jul 30, 2025A Common Misconception About Log Transformation…and here’s what it does.
Abhishek Jain·Jan 4, 2025Feature Engineer technique — Function transformerIn this blog, we will learn about different function transformers like :
Tilak Mudgal·Nov 4, 2024OutliersOutliers are data points that are noticeably different from the rest of the data. They may be extremely high or low values that don’t…
Sai Krishna Dammalapati·Oct 21, 2024Misleading residual plots when dependent variable is log transformedOne of the issues with the log transformation of the Dependent Variable (DV) mentioned by Adrian Olszewski is that the 𝐍𝐚𝐭𝐮𝐫𝐞 𝐨𝐟…
