bmuv/umojahack-africa-2022-beginner-challenge

AirQo’s air quality sensing network has more than 120 low-cost devices deployed across Uganda; in most cases, these devices are deployed in unmonitored or perilous environments. These low-cost electronic devices are susceptible to breakdown caused by communication malfunction, aging, wear and tear, manufacturing deficiencies, incorrect calibration, mishandling and other external environmental factors. Faults lead to data inaccuracies and data loss, which impacts decisions and policies that could significantly impact people’s lives. Device failure detection and monitoring is critical to AirQo’s business; faulty devices need to be identified, isolated and fixed or replaced with urgency. Data received from a device can be used to identify whether the device is working correctly or not. In this challenge, your task is to develop a classification model to identify a device has an off set fault or not, regardless of the device. The model can be used by AirQo to automatically flag a device that is returning faulty data. Watch this video, it is a walk-through of the starter notebook and the relevance of the challenge. # umojahack-africa-2022-beginner-challenge AirQo’s air quality sensing network has more than 120 low-cost devices deployed across Uganda; in most cases, these devices are deployed in unmonitored or perilous environments. These low-cost electronic devices are susceptible to breakdown caused by communication malfunction, aging, wear and tear, manufacturing deficiencies, incorrect calibration, mishandling and other external environmental factors. Faults lead to data inaccuracies and data loss, which impacts decisions and policies that could significantly impact people’s lives. Device failure detection and monitoring is critical to AirQo’s business; faulty devices need to be identified, isolated and fixed or replaced with urgency. Data received from a device can be used to identify whether the device is working correctly or not. In this challenge, your task is to develop a classification model to identify a device has an off set fault or not, regardless of the device. The model can be used by AirQo to automatically flag a device that is returning faulty data. Watch this video, it is a walk-through of the starter notebook and the relevance of the challenge.