SmartCart-Customer-Data-Analysis

Description:

This project analyzes customer data from a retail dataset to understand purchasing behavior and clean missing data using Python data analysis tools.

Technologies Used:

Python, Pandas, NumPy, Matplotlib, Seaborn

Steps Performed:

1. Data loading and exploration
2. Handling missing values
3. Data preprocessing and feature engineering

Customer data visualization

Outcome: Successfully cleaned and analyzed customer dataset to extract meaningful insights.

Outcome

Successfully cleaned and analyzed retail customer dataset Generated meaningful insights from customer purchasing patterns