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YouTubeSonu Yadav [ IIT-Delhi ]
EDA for ML: Mean, Std Dev, Skewness, Correlation, Heatmap, Pairplot, etc., | ML Course
In this lecture (Module 2.3), we continue the AI/ML series with a complete, practical guide to Exploratory Data Analysis (EDA). You’ll learn why “talking to the data” comes before applying models like Random Forest or Neural Networks, and how EDA helps you understand distributions, data quality, outliers, skewness, and feature–target ...
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