Exploratory Data Analysis and Forecasting of Covid-19 Vaccination using ARIMA and LSTM

Abstract : The Covid-19 outburst seemed in Wuhan in December 2019 and spread rapidly all over the world. The Covid-19 ailment does now have clinically proven vaccines and medication for treatment [1]. WHO recommends that initial vaccination should arrange groups at the highest risk of introduction to infection in each country, including health workers, older persons and those with other health issues? In this study, we going to apply ARIMA and LSTM. ARIMA (Autoregressive Integrated Moving Average), is a class of classical that captures a suite of unlike standard temporal structures in period series data. Long ShortTerm Memory (LSTM) networks are a type of recurrent neural network proficient in knowledge order dependence in arrangement prediction problems. This is a behaviour required in multifaceted problem domains like machine translation, speech recognition, and more. LSTMs are a composite area of deep learning.