Mall Customers Segmentation

Project Overview This is an academic practice project focused on customer segmentation using Python and K-Means clustering. The goal was to explore customer data and group customers based on their annual income and spending score.

What I Did

Explored and prepared the dataset for analysis.

Used Python and data analysis libraries to examine customer patterns.

Applied K-Means clustering to segment customers.

Created visualizations to present the customer groups and make the results easier to understand.

Tools: Python, Pandas, Matplotlib, Seaborn, and Scikit-learn. Project Type: Academic / Practice Projec