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Several implementations of machine learning models with accompanying reports. Covers both classical machine learning (regression, probabilistic learning) and deep learning (AlexNet, ResNet, etc.).

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JacobGH2/Machine_Learning_Models

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All Python source files can be run either locally or in a Jupyter/Google Colab notebook. Execution may be expensive, especially for convolutional models, so reports have been included for all source files showing output/performance.

Convolutional models were trained on a Google Colab NVIDIA Tesla T4 GPU instance.

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Several implementations of machine learning models with accompanying reports. Covers both classical machine learning (regression, probabilistic learning) and deep learning (AlexNet, ResNet, etc.).

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