The Preprocessing Step of the Experiment-Design of Machine Learning Based Template for Prototyping in Retail Industry.
**Objectives:** The objective of the Project is to build a Machine Learning based Web Service that automatically provides the weekly forecasts of the next month for each store and each product for any Ecommerce based Retail Store. **Methods/Statistical analysis:** The dataset used in the Project has been imported from UCI Repository and Azure Blob Storage. Once the data is available, I will perform data pre-processing, followed by Training of Time Series Models, Feature Engineering, Training of Regression Models, and Evaluation of models and finally Deployment of Different Web-Services for Time-Series Model and Regression Model. This will be followed by a comparative study of the Regression Models and the Time Series Models that we will be using in our Project.