STEM Aspire

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Program Description

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This week focuses on classification algorithms such as logistic regression and k-nearest neighbors (KNN). Students will learn model evaluation techniques, including confusion matrix, accuracy, precision, recall, and F1 score. The week also covers cross-validation and hyperparameter tuning, culminating in a project to build simple regression and classification models.

A laptop is recommended but NOT required. Paper and writing supplies will be provided for note taking.