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Demand-Forecasting-ML-Project

Aim is to forecast demand based on previous sales data

The dataset used is that of iowa liquor sales from iowa website(https://data.iowa.gov/)

The dataset consisting of 24.6M records with 24 columns (as on sept 2nd 2022) can be found here https://data.iowa.gov/Sales-Distribution/Iowa-Liquor-Sales/m3tr-qhgy

The dataset is used to analyze total spirits sales in Iowa of individual products at the store level.

Followed CRISP-DM Methodology

Business Understanding
Data Understanding
Data Preparation
Modelling
Evaluation
Deployment

The Machine Learning Model used are

ARIMA/SARIMA
Linear Regression
Random Forest
FBProphet
XGBoost

Visualization using Tableau

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