https://github.com/shibam120302/black-friday-sales-data-analysis

This repository contain Data Analysis on Black Friday Sales Data using various Regression ML algorithms
https://github.com/shibam120302/black-friday-sales-data-analysis

data-analysis eda machine-learning python random-forest regression

Last synced: 20 days ago
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This repository contain Data Analysis on Black Friday Sales Data using various Regression ML algorithms

• Host: GitHub
• URL: https://github.com/shibam120302/black-friday-sales-data-analysis
• Owner: shibam120302
• Created: 2022-11-09T08:32:42.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-11-09T13:50:35.000Z (over 2 years ago)
• Last Synced: 2024-11-20T23:32:06.174Z (3 months ago)
• Topics: data-analysis, eda, machine-learning, python, random-forest, regression
• Language: Jupyter Notebook
• Homepage:
• Size: 7.03 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Black Friday Sales Data Analysis BY SHIBAM NATH ❤

## Reference

https://github.com/shibam120302/Black-Friday-Sales-Data-Analysis

### Black Friday Sales Data Analysis Demo Video:

https://www.youtube.com/watch?v=mQIrTCtn-EE

Abstract РBlack Friday marks the beginning of the Christmas shopping festival across the US. On Black Friday big shopping giants like Amazon, Flipkart, etc. lure customers by offering discounts and deals on different product categories. The product categories range from electronic items, Clothing, kitchen appliances, D̩cor. Research has been carried out to predict sales by various researchers. The analysis of this data serves as a basis to provide discounts on various product items. With the purpose of analyzing and predicting the sales, we have used three models. The dataset Black Friday Sales Dataset available on Kaggle has been used for analysis and prediction purposes. The models used for prediction are linear regression, lasso regression, ridge regression, Decision Tree Regressor, and Random Forest Regressor. Mean Squared Error (MSE) is used as a performance evaluation measure. Random Forest Regressor outperforms the other models with the least MSE score.

Keywords – Regression, Linear Regression, Ridge Regression, Lasso Regression, Decision Tree Regressor, Random Forest Regressor, Mean Squared Error, Data Analysis

##  🔥🔥 Black Friday Sales Data Analysis 🔥🔥

![Black Friday Sales Data Analysis](https://www.funimada.com/assets/images/cards/big/black-friday-3.gif)