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E-commerce Customer Behavior Dataset

Comprehensive dataset of 100K+ customer interactions for training recommendation systems and behavior analysis models.

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Description

High-quality e-commerce dataset for machine learning and analytics. Dataset Contents: - 100,000+ customer records - 500,000+ transaction records - Product catalog with 10,000+ items - Customer demographics and preferences - Session data and clickstream - Purchase patterns and seasonality - Return and refund data - Customer service interactions Data Format: - CSV files with clear schema - JSON format for web APIs - Parquet for big data processing - SQLite database for quick setup Use Cases: - Recommendation system training - Customer segmentation - Churn prediction - Price optimization - Inventory management - Market basket analysis Privacy: All data is anonymized and synthetic, generated using advanced AI models.

Dataset Information

Compatible Formats

Jupyter
Google Colab
Kaggle

Tags

Python
Data Analysis

$89.99

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About the Author

GreenMonkey

GreenMonkey

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Professional prompt engineer with expertise in AI and machine learning

Product Information

Published 7/26/2025
Updated 7/26/2025
Version 1.0.0