eCommerce Transactions Analysis

Overview This project analyzes eCommerce transaction data to extract insights, build a recommendation model, and perform customer segmentation. The dataset includes customer profiles, product details, and transaction history.

Description Provide a detailed description of the project. Explain its purpose, goals, and any other relevant information that would help someone understand the project's significance.

Tasks EDA: Analyzed trends and patterns to derive actionable insights.

Deliverables: Lookalike.ipynb, Lookalike.csv Customer Segmentation: Clustered customers for targeted strategies, evaluated using DB Index.

Requirements Python 3.x Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn