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

[1] implement logistic regression model; [2] explain the fundamentals of classification, including thresholding and confusion metrics, to assess model performance; [3] explain classification models using metrics like accuracy, precision, recall, and F1-score

Back to 'Unit 6: Supervised Learning – Classification\'