supervised learning

What Algorithms are Commonly Used?

Several supervised learning algorithms are commonly used in nanotechnology, including:
Linear regression and logistic regression for simple predictive models.
Support Vector Machines (SVM) for classification tasks.
Decision Trees and Random Forests for more complex datasets.
Neural networks for tasks requiring deep learning due to their ability to handle large and complex datasets.

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