Mall Customer Segmentation

Performed customer segmentation using unsupervised machine learning to identify groups of customers with similar purchasing behavior.

Technologies

Python

Scikit-learn

Pandas

Matplotlib

Seaborn

Key Features

Data visualization and preprocessing.

Applied K-Means clustering.

Used the Elbow Method to determine the optimal number of clusters.

Visualized customer segments.

Results

Generated meaningful customer groups that can support targeted marketing strategies.