Course Overview

End-to-end machine learning: data preparation, model selection, evaluation, hyperparameter tuning and model serving.

lightbulbCurator's Insight

“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 content
lockSupervised vs Unsupervised
33m
lockFeature Engineering
38m
lockTrain-Test Split & Cross-Validation
31m

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Build and deploy real-world ML models with Python and scikit-learn.

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Dr. Amit Sharma

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·1 course
5.0(1)
people2 enrolled