Predicting purchase amount in Black Friday dataset. (MAE = 2195)
-
Updated
Mar 10, 2023 - Jupyter Notebook
Predicting purchase amount in Black Friday dataset. (MAE = 2195)
This study investigates the traditions around collective consumptions on Black Friday.
This topic explains about the implementation of exploratory data analysis (EDA).
This repository contains a machine learning project that demonstrates the application of K-Means clustering algorithm on a Black Friday sale dataset.
An insightful Black Friday sales data analysis project that explores customer demographics, purchasing habits, and product preferences to reveal trends and improve marketing strategies using visualizations and statistical techniques.
Add a description, image, and links to the black-friday-dataset topic page so that developers can more easily learn about it.
To associate your repository with the black-friday-dataset topic, visit your repo's landing page and select "manage topics."