/Time-Series-Forecasting-with-ARIMA

Time-Series-Forecasting-with-ARIMA

Primary LanguagePythonMIT LicenseMIT

Time-Series-Forecasting-with-ARIMA

Time-Series-Forecasting-with-ARIMA

ARIMA stands for Autoregressive Integrated Moving Average. It is an algorithm used for forecasting Time Series Data. If the data is stationary, we need to use ARIMA, if the data is seasonal, we need to use Seasonal ARIMA (SARIMA).

#Download Dataset collect Google stock price data using the Yahoo Finance API