Romeo Kienzler explains the importance of feature engineering when doing classifications.

In this video:

Romeo begins by demonstrating an application that uses the same dataset developed in his “Introduction to Clustering” video. He runs through the application without feature engineering, achieving a 92% success rate. He then simply adds the means of the input dimensions. By so doing, he improves his success rate to a full 100%.

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