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Krishna introduces the topic of normalization and standardization in feature scaling, explaining their importance in feature engineering. He discusses when to use each technique and which algorithms they are best suited for. He also demonstrates the coding process for performing normalization and standardization in data analysis. It is emphasized that feature scaling is not required for every algorithm.
