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Feature Description
Machine learning pipelines in scikit-learn automate the sequence of data preprocessing, feature selection, model training, and evaluation. They ensure consistency and reduce errors, allowing developers to focus on optimizing models rather than data handling.
Use Case
A scikit-learn pipeline automates data cleaning, transformation, feature selection, model training, and validation. This ensures consistent, accurate predictions and streamlines the workflow, making complex machine learning projects more manageable and reliable. This will be helpful in almost all the ml models. and help people develope reliable and clean ML models.
Benefits
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Add ScreenShots
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Priority
High
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