In this article, the authors explore how we can build a machine learning model to do predictive maintenance of systems. They discuss a sample application using NASA engine failure dataset to predict the Remaining Useful Time (RUL) with regression models.
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Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press). - GitHub - jermwatt/machine_learning_refined: ... (more…)
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Our main aim from the project is to make use of pandas, matplotlib, etc in Python to calculate the %rate for calculating Loan Prediction. (more…)
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I managed to get my hands on Stefan Jansen’s Machine Learning for Algorithmic Trading, and I highly recommend you to get it too. (more…)
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Scaling the performance of machine learning frameworks so they can train larger neural networks – or so the same training a lot faster – has meant that the... (more…)
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