Forecasting Covid-19 Cases in India
To build a model that can predict the values of upcomming Covid-19 cases provided the timeseries of already confirmed datewise cases in India. The approach used in this project can be exteded to statewise data to get statewise predictions.
- Gathering data from API ( 'https://api.covid19india.org/csv/latest/state_wise_daily.csv' ) and preprocessing.
- Analysing if current time series is stationary or not using Augmented Dickey-Fuller unit root test.
- Converting the series into stationary using differencing method.
- Analysing ACF and PACF and tuinning values of p,d,q.
- Using our model to predict the values of the current timeseries and comparing it with orignal data.
- Forecasting and plotting values for future.