SARIMA

June 28, 2020

Basic Understanding of ARIMA/SARIMA vs Auto ARIMA/SARIMA using Covid-19 Prediction

Motivation A time-series represents the sequence of a variable recorded with time over regular intervals of time. There are various applications of time series like Stock Market Prediction (with daily and hourly data), Annual Sales/Revenue, Seasonal Temperatures changes, monthly Cloud Infrastructure cost and second level prediction of Python has 2 libraries StatsModels and Pyramid that helps to build forecasting models and predict values at a future time. As both these libraries provide forecasts for similar […]

ARIMA/SARIMA vs LSTM with Ensemble learning Insights for Time Series Data

An Insight of Time Series Traditional vs Deep Learning Technique Motivation There are most commonly five types of traditional time series models, which includes the following. They have played an important role in different industry for time-series forecasting. Autoregressive (AR), Moving Average (MA), Autoregressive Moving Average (ARMA), Autoregressive Integrated Moving Average (ARIMA), and Seasonal Autoregressive Integrated Moving Average (SARIMA) models. AR models have been known to express the current value of the time series linearly. […]