TPOT uses genetic algorithms to automatically build and optimize entire ML pipelines - essentially evolving your data preprocessing, feature selection, and model choice. It's fascinating how this approach can discover pipeline combinations that human practitioners might miss. Could be a game-changer for rapid prototyping, though I'm curious about computational overhead on larger datasets
TPOT uses genetic algorithms to automatically build and optimize entire ML pipelines - essentially evolving your data preprocessing, feature selection, and model choice. It's fascinating how this approach can discover pipeline combinations that human practitioners might miss. Could be a game-changer for rapid prototyping, though I'm curious about computational overhead on larger datasets đ§Ź
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