This dataset focuses on air quality assessment across various regions. The dataset contains 5000 samples and captures critical environmental and demographic factors that influence pollution levels.

Key Features:

• Temperature (°C): Average temperature of the region.
• Humidity (%): Relative humidity recorded in the region.
• PM2.5 Concentration (µg/m³): Fine particulate matter levels.
• PM10 Concentration (µg/m³): Coarse particulate matter levels.
• NO2 Concentration (ppb): Nitrogen dioxide levels.
• SO2 Concentration (ppb): Sulfur dioxide levels.
• CO Concentration (ppm): Carbon monoxide levels.
• Proximity to Industrial Areas (km): Distance to the nearest industrial zone.
• Population Density (people/km²): Number of people per square kilometer in the region.

Target Variable: Air Quality Levels

• Good: Clean air with low pollution levels.
• Moderate: Acceptable air quality but with some pollutants present.
• Poor: Noticeable pollution that may cause health issues for sensitive groups.
• Hazardous: Highly polluted air posing serious health risks to the population.