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Pandas: A powerful library for data manipulation and analysis, offering data structures and operations for manipulating numerical tables and time series data. Scikit-learn: A simple and efficient tool for datamining and data analysis, particularly for building and evaluating machine learning models.
A traditional machine learning (ML) pipeline is a collection of various stages that include data collection, datapreparation, model training and evaluation, hyperparameter tuning (if needed), model deployment and scaling, monitoring, security and compliance, and CI/CD.
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