Previous Work 1: Arima Model

ARIMA, short for ‘AutoRegressive Integrated Moving Average’, is a forecasting algorithm based on the idea that the information in the past values of the time series can alone be used to predict future values. ARIMA models are used because they can reduce a non-stationary series to a stationary series using a sequence of differencing steps. 

Reference: https://www.kaggle.com/headsortails/wiki-traffic-forecast-exploration-wtf-eda

Learn more About ARIMA: https://towardsdatascience.com/time-series-forecasting-arima-models-7f221e9eee06