• Eslavath Manoj Kumar
• Nampally Shiva Kumar
• Miyapuram Bhanu Sree
• Dr.V.Saravana Kumar

The quality of air index is most important for human lives. Air quality index measure impact of air pollution impact on personal health over less period of time. Air quality of index information provide negative effects on health of human. Gradually increase pollution in Indian cities day to day. Number of mathematical concepts create several ways to determine the air quality index. Several studies found that connection between air pollution impact on health of people. Machine learning methods are play crucial roles to forecast air quality index and analysis. The air quality index prediction assists in climate control. Regularization techniques can be improved air quality index prediction for finding optimal solution. Statistical analysis shows that, using four models and calculating MSE values. Among these models Ridge regression and Least Absolute Shrinkage and Selection Operator (LASSO) and Least-Angle Regression (LARS) generate same MSE values 2942.93. Elastic Net generate MSE value is 2941.

regularization techniques, air quality index, prediction.

"REGULARIZATION TECHNIQUES BASED AIR QUALITY INDEX PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.p541-p547, April-2024, Available :http://www.jetir.org/papers/JETIR2404G70.pdf

"REGULARIZATION TECHNIQUES BASED AIR QUALITY INDEX PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppp541-p547, April-2024, Available at : http://www.jetir.org/papers/JETIR2404G70.pdf