Course Overview
End-to-end machine learning: data preparation, model selection, evaluation, hyperparameter tuning and model serving.
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“This curriculum is updated regularly to reflect the latest developments in the field — you aren't just learning today's techniques, you're learning how to adapt to tomorrow's challenges.”
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Curriculum Overview
1 module · 3 lessons · 1h 43m contentlockSupervised vs Unsupervised
33m
lockFeature Engineering
38m
lockTrain-Test Split & Cross-Validation
31m
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