Predictive analysis of Covid on economy of India using machine learning technqiue

Corona Virus (COVID-19) outbreak in December 2019 had a devastating effect on the world. The impact of the coronavirus epidemic has not only affected economic activity but also human life. There is exponential growth in machine learning technique for analyzing the medical data. Therefore, predictive analysis is performed using various algorithm to showcase the impact of Covid on different parameter of economy. This paper aim to assess the overall impact of COVID-19 on the Indian economy through digital learning. Statistical data from reliable sources were collected to determine the impact of Covid on the Indian economy. With this the actual difference between the asper count and the actual number can be determined and can be considered as a reference for future. In this paper, hybrid of L1 regression and tree based algorithm is contributed for optimized feature section process. Further, KNN is utilized for classifying the target values. The different performance metrics are computed on model, thus achieving accuracy of 98%, precision as 81.5%, Recall as 99% and F1-score as 92.5% respectively.