https://github.com/projects-developer/big-mart-sales-prediction-using-machine-learning

The Big Mart Sales Prediction project aims to predict the sales of various products at different Big Mart stores using machine learning algorithms. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
https://github.com/projects-developer/big-mart-sales-prediction-using-machine-learning

big-mart-sales business-intelligence computerscience data-science final-year-project finalyearproject finalyearprojects machine-learning python retail-analytics sales-forecasting

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The Big Mart Sales Prediction project aims to predict the sales of various products at different Big Mart stores using machine learning algorithms. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

• Host: GitHub
• URL: https://github.com/projects-developer/big-mart-sales-prediction-using-machine-learning
• Owner: Projects-Developer
• Created: 2024-12-23T07:55:13.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-01-18T12:34:36.000Z (about 1 year ago)
• Last Synced: 2025-01-18T13:46:33.620Z (about 1 year ago)
• Topics: big-mart-sales, business-intelligence, computerscience, data-science, final-year-project, finalyearproject, finalyearprojects, machine-learning, python, retail-analytics, sales-forecasting
• Homepage: https://www.finalproject.in/
• Size: 5.86 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

          
# Big Mart Sales Prediction Using Machine Learning

The Big Mart Sales Prediction project With Code, Docuemnts and Video Tutorial

![Big Mart](https://github.com/user-attachments/assets/a4bbae08-da76-4a5c-bf0a-0e3671861d61)

## Youtube Video: https://youtu.be/HgQssKEiWzc?si=S9FuNt3KGTRBVmpM

## Abstract: 

This project aims to develop a predictive model using machine learning algorithms to forecast sales of various products at Big Mart stores. The model leverages historical sales data and explores the relationships between item attributes, store characteristics, and sales. By employing regression analysis and supervised learning techniques, the project seeks to improve sales forecasting accuracy, enabling Big Mart to optimize inventory management, reduce waste, and enhance profitability. The project utilizes Python, scikit-learn, TensorFlow, and Keras, and evaluates model performance using metrics such as MAE, MSE, RMSE, and R-squared. The results of this project can be applied to real-world retail scenarios, providing actionable insights for data-driven decision-making.

Keywords: Big Mart Sales Prediction, Machine Learning, Regression Analysis, Supervised Learning, Sales Forecasting, Retail Analytics, Business Intelligence

### Project include: 

1. Synopsis

2. PPT

3. Research Paper

4. Code

5. Explanation video

6. Documents

7. Report

### Need Code, Documents & Explanation video ? 

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