GitHub / Ayan007JBond / Sensor-Data-Analytics

This notebook showcases a complete machine learning workflow—from data preprocessing to model evaluation—for a binary classification task. It includes key techniques like feature scaling, handling class imbalance, and threshold tuning to improve prediction accuracy.

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Topics: akashkobal, data-analytics, db2eventstore, deep-learning, diy, green-tech, iot-sensors, kafka, mqtt, pyspark, python, seaborn, solar-based-remote-control-smart-garden, spark

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