Predictive maintenance is a proactive maintenance strategy that utilizes data analysis, machine learning algorithms, and sensor technologies to predict equipment failures before they occur. By analyzing real-time and historical data, predictive maintenance aims to identify patterns and anomalies that signal potential issues, allowing maintenance teams to schedule repairs or replacements at optimal times.
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End-To-End Predictive Analytics to predict Hardware Maintenance Before it occurs using data preprocessing and Machine Learning classification modeling (XGBOOST , Random Forest )
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