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Completed Unit - Supervised machine learning: Introduction to supervised machine learning; Regression; Classification.
Completed Unit - Classification algorithms: K-nearest neighbors (KNN); Decision trees.
Completed Unit - Training and testing the classification model: Introduction to training and testing; Underfitting; Overfitting; K-fold cross-validation.
Completed Unit - Evaluating the classification models’ performance: Model evaluation; Confusion matrix; Supervised vs. unsupervised learning.
Completed Exercise - Classification.
Completed the quiz with a score of 80% or more.