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This project aims to build an end-to-end AutoML system that automates the entire machine learning pipeline, from data preprocessing to model selection, hyperparameter tuning, and deployment. The goal is to replicate the tasks typically performed by a data scientist, automating the workflow to make machine learning more accessible and efficient.
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Code of Conduct
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