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data-science-competition

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Awarded for developing a high-accuracy predictive maintenance model Random Forest. The project significantly reduced downtime by accurately forecasting machine failures, leveraging tools like Altair AI Studio and RapidMiner. Achieved a 99.25% accuracy rate, effectively predicting various failure types.

  • Updated Aug 25, 2025
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