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Big Mart Sales Prediction Using Machine Learning Project

Abstract :

Currently, supermarket run-centers, Big Marts keep track of each individual item's sales data like item name, price, etc.. in order to Meet consumer demand and update inventory management. Anomalies and general trends are often discovered by mining the data warehouse's data store. For retailers like Big Mart, the resulting data can be used to forecast future sales volume using many machine learning techniques like big mart. A predictive model was developed using ML algorithms and model outperforms existing models.

Tech Used in Project :

Front End : HTML & CSS

Back End : Python

Model : Jupyter Notebook

Contact to get Project files/ help

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