Anomaly detection for the sensor data

There's a kaggle dataset for 50+ sensors. Using this data, have to generate a ML model to predict the anomalies or outliers. Python is the preferred language. I'm attaching the kaggle dataset link: https://www.kaggle.com/datasets/nphantawee/pump-sensor-data