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This video is a continuation of the last one on feature selection techniques in Python. The speaker, Aman, introduces wrapper and embedded methods for feature selection. Wrapper technique involves grouping features to determine the best combination, while embedded method uses machine learning models for selection. Each technique falls under different buckets of feature selection methods, and in this video, he will delve into the specifics of wrapper and embedded techniques.