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BigMart Sales Prediction Challenge

BigMart, a leading retail chain, aims to enhance its sales strategy by analyzing historical sales data. The goal is to develop a predictive model that estimates the sales of various products across different outlets, helping BigMart understand the key factors influencing sales performance.

Problem Statement

BigMart has gathered sales data from 2013 for 1,559 products sold across 10 stores in different cities. Along with sales figures, various product and store attributes have been recorded. The objective is to build a machine learning model that can accurately forecast the sales of products at specific outlets.

By leveraging this predictive model, BigMart can gain insights into product and store characteristics that drive sales growth, enabling better business decisions.

Challenges

The dataset may contain missing values due to unreported data from certain stores, requiring appropriate data preprocessing techniques.

Dataset Overview

Train Dataset (8,523 records)

Includes both input features and the target variable (Item_Outlet_Sales).

• Product Features

  • Item_Identifier: Unique product ID
  • Item_Weight: Weight of the product
  • Item_Fat_Content: Fat level (low-fat or regular)
  • Item_Visibility: Percentage of display area allocated to the product
  • Item_Type: Category of the product
  • Item_MRP: Maximum Retail Price

• Store Features

  • Outlet_Identifier: Unique store ID
  • Outlet_Establishment_Year: Year the store was established
  • Outlet_Size: Store size (small, medium, large)
  • Outlet_Location_Type: City tier classification
  • Outlet_Type: Type of outlet (grocery store, supermarket, etc.)

• Target Variable

  • Item_Outlet_Sales: Sales of the product at a particular store (to be predicted)

Test Dataset (5,681 records)

Contains the same features as the train dataset except for Item_Outlet_Sales, which needs to be predicted.

Submission Format

Your model should generate a CSV file with the following columns:
- Item_Identifier: Unique product ID
- Outlet_Identifier: Unique store ID
- Item_Outlet_Sales: Predicted sales value

Reference

For more details, visit: Analytics Vidhya BigMart Sales III

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Dataset

This dataset was created by Chase Carlson

Released under MIT

Contents

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Dataset

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Contents

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