Data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.

The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.

The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.

This notebook will show you how to perform exploratory data analysis on the Big Mart Sales dataset

This project predicts sales for Big Mart 🛒📈 using machine learning algorithms. By analyzing various factors such as product attributes, store location, and customer demographics, it aims to provide accurate sales forecasts to enhance inventory management and strategic planning.

Projeto de Machine Learning para prever vendas utilizando dados históricos da rede BigMart. Desenvolvido como projeto final da disciplina de Inteligência Artificial e Aprendizado de Máquina, o notebook implementa e compara algoritmos de Regressão Linear e Random Forest Regressor para prever as vendas de produtos.