Use datasets, notebooks, evaluation and project reviews to make ML concepts stick.
Machine learning progress comes from repeated practice: prepare a dataset, train a baseline model, evaluate it, explain the result and improve one part at a time. A Tutor can keep that loop focused and realistic.
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