Upon successful completion of this unit, you will be able to:

[1] build an end-to-end ML project using Python; [2] evaluate the performance of ML models within a project using domain-relevant metrics such as accuracy, precision, recall, F1-score for classification models, and MSE, RMSE, and R²; [3] explain the importance of the reproducibility of the project results

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