ashwinijagadeesh / india-air-quality-data-analysis

India-Air-Quality-Data-Analysis

The main focus of this project is learning about modeling of data by supervised algorithms i.e (Linear Regression (regression), Logistic Regression, Random Forest Classifer, Decision Tree Classifier (classification)). The main focus of this particular project is AQI(Air Quality Index), and factors that affects AQI i.e (so2, no2, spm, rspm,). In this project a basic data analysis is done on India Air Quality data and the value of Air Quality Index based on given features of concentration of sulphur dioxide, nitrogen dioxide, respirable suspended particulate matter, suspended particulate matter were predicted and classification of the Air Quality as good, satisfactory, moderately polluted, poor, very poor and severe was done.