CSE523-Machine-Learning-Tech_Mak

COVID-19 Case Prediction

Introduction:

This model is bulit for the Prediction of COVID -19 Cases. In this pandemic situation it is necessary to have future information about the COVID-19.

Model:

Fisrt we have done the prediction using the Polynomial Regression but due to accuracy at higher degree we have used the ARMA and ARIMA Model.

References:

  • A. Khakharia et al., “Outbreak Prediction of COVID-19 for Dense and Populated Countries Using Machine Learning,” Ann. Data Sci., vol. 8, no. 1, pp. 1–19, 2021, doi: 10.1007/s40745-020-00314-9.
  • Y. Zoabi, S. Deri-Rozov, and N. Shomron, “Machine learning-based prediction of COVID-19 diagnosis based on symptoms,” npj Digit. Med., vol. 4, no. 1, pp. 1–5, 2021, doi: 10.1038/s41746-020-00372-6.
  • Hyndman, R. and Athanasopoulos, G., 2021. Forecasting: Principles and Practice. 2nd ed. [ebook] Available at: https://otexts.com/fpp2/index.html
  • Time series analysis. (2020, June 17). Retrieved April 11, 2021, from https://www.statisticssolutions.com/time-series-analysis/
  • DATASET : https://www.covid19india.org/