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This project contains code for supervised machine learning algorithms in Python, including linear regression, logistic regression, and SVMs. It includes functions for preprocessing data, selecting features, and optimizing model hyperparameters, as well as examples and sample datasets. The code uses libraries such as scikit-learn, Pandas, and NumPy.

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derrickny/Supervised-Learning

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This project contains code for supervised machine learning algorithms in Python, including linear regression, logistic regression, and SVMs. It includes functions for preprocessing data, selecting features, and optimizing model hyperparameters, as well as examples and sample datasets. The code uses libraries such as scikit-learn, Pandas, and NumPy.

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