Machine Learning Project Workflow

This tutorial presents a clear, practical overview of the complete Machine Learning project workflow, from problem definition and data exploration to feature engineering, model training, evaluation, and deployment mindset. Through a concise end-to-end Python example, it shows how raw data is transformed into a reliable, real-world machine learning solution.

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