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File dump of some of the notebooks used to train ML models on the Jensen, Kelly, and Pedersen factor data, accompanied by portfolio and model performance notebooks. Models include ordinary least squares, penalized linear (Ridge and Lasso), and an array of different feedforward network architectures using scikit-learn and torch.

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Machine learning algorithms trained on factor data to predict monthly stock returns between 1984-2025

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