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NFL Season is coming soon so it seems apt to create a machine learning model that can predict winning Daily Fantasy Sports players. In this AI tutorial, i'll explain how to use Python and Machine Learning to predict the winning NFL players. We'll also use this opportunity to learn about model training, deployment, and continuous learning. What does it look like when a model gets new data daily, retrains itself, and makes new predictions?

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