# arima-forecasting

**Repository Path**: zeroonekevin/arima-forecasting

## Basic Information

- **Project Name**: arima-forecasting
- **Description**: Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-24
- **Last Updated**: 2020-12-24

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## 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