Model Engineering in Machine Learning Product Development (Lecture 27)

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If you want to delve into machine learning model engineering, look no further than CRISP-ML: Model Engineering in Machine Learning. This comprehensive guide offers invaluable insights and practical techniques to help you navigate the complexities of model development. CRISP-ML provides a step-by-step approach to streamlining machine learning workflows, from data preprocessing to model evaluation. Discover effective strategies for feature engineering, hyperparameter tuning, and model selection, all aimed at optimising your models for peak performance. Elevate your machine learning expertise with CRISP-ML and unlock the full potential of your models.

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