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train and evaluate models using both the two-way holdout method, and an evaluation approach appropriate for models with hyperparameters that uses k-fold cross validation plus a test set.
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optimize a machine learning model. In particular, using gradient descent to optimize a logistic regression model.
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Perform optimization with a different algorithm (Newton-Raphson)