Machine Learning Algorithm to Forecast the Outbreak of Covid 19 using LSTM

Machine Learning Algorithm to Forecast the Outbreak of Covid 19 using LSTM

1.     Ketan Gaikwad, Computer Dept, MES College Of Engineering, Pune

2.     Omkar Bhoite, Computer Dept, MES College Of Engineering, Pune

3.     Sohail Ahmad, Computer Dept, MES College Of Engineering, Pune

4.     Saurabh Wagh, Computer Dept, MES College Of Engineering, Pune

5.     Dr. Shalaka Prasad Deore, Computer Dept, MES College Of Engineering, Pune

Abstract: Machine learning (ML) based on predicting and predicting algorithms and proving their value and importance in statistical prediction problems to improve the accuracy and results of a given problem. ML models have long been used in many application domains that required the identification and prediction of a number of information items. A few predictive methods are often used to manage prediction problems. This study will demonstrate the ability of machine learning models to predict the number of future patients with COVID-19, currently considered a potential threat to humanity. in particular, the implementation of the Long Short Term Networks algorithm is recommended to extend the efficiency of the currently available models. Three different types of speculation are made by each model, such as the number of newly infected cases, the death rate, and the recovery rate over the next 10 days.

Keywords: LSTM algorithm, Covid-19 Forecasting, ARIMA