Theory alone is not enough to master AI and Data Science. Engaging in real-world projects allows you to apply concepts, gain practical experience, and understand the nuances of data handling, model building, and deployment. You can start with publicly available datasets on platforms like Kaggle or GitHub and progressively tackle more complex problems.
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