/arima-forecasting

Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot

Primary LanguageJupyter Notebook

Forecasting Time Series with ARIMA

This exercise uses Python StatsModel to forecast a time series of a Walmart parking lot’s car counts with an ARIMA model. The data includes car count, weather, and a cloudy day indicator derived from satellite imagery. The notebook contains an exploratory data analysis and ARIMA forecasting.

Table of Contents

  • Dataset
  • Exploratory Data Analysis
    • Yearly Trends
    • Outlier Analysis
    • Weather Variable
    • Day of Week
  • ARIMA Forecasting
    • Stationarity
    • ACF and PACF
    • Fitting Model
    • Forecasting
  • Summary