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GitHub / TechLeoo / AirQualityMLPrediction

This repository focuses on leveraging machine learning techniques to predict air quality index and carbon monoxide(CO) in the air. The dataset comprises hourly-averaged responses from a multi-sensor device with metal-oxide chemical sensors placed in a polluted area in an Italian city. The data spans from March 2004 to February 2005.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TechLeoo%2FAirQualityMLPrediction

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 1.1 MB
Dependencies: pending

Created: 6 months ago
Updated: 25 days ago
Last pushed: 6 months ago
Last synced: 25 days ago

Topics: air-quality, jupyter-notebook, machine-learning, python, random-forest, regression-analysis, xgboost

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