🛍️ Customer Segmentation Using Unsupervised Learning

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📌 Project Overview

Customer segmentation is one of the most important applications of machine learning in business analytics. This project uses Unsupervised Machine Learning (K-Means Clustering) to identify groups of customers with similar purchasing behavior and demographic characteristics.

The project demonstrates a complete machine learning workflow including:

• Data Cleaning
• Exploratory Data Analysis (EDA)
• Feature Engineering
• Feature Scaling
• Dimensionality Reduction (t-SNE)
• K-Means Clustering
• Cluster Visualization
• Business Insights

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🎯 Objectives

• Analyze customer purchasing patterns.
• Discover hidden customer segments.
• Help businesses personalize marketing campaigns.
• Improve customer retention strategies.
• Support data-driven decision making.

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📊 Dataset

The dataset contains customer demographic information, purchasing behavior, and spending patterns.

Example features include:

• Age
• Income
• Education
• Marital Status
• Number of Children
• Spending Amount
• Purchase Frequency
• Customer Enrollment Date

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🛠 Technologies Used

• Python
• Jupyter Notebook
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Scikit-learn

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📈 Machine Learning Workflow

Dataset
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Data Cleaning
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Exploratory Data Analysis
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Feature Engineering
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Data Standardization
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t-SNE Visualization
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Elbow Method
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K-Means Clustering
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Customer Segments
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Business Insights

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📷 Project Results

Correlation Heatmap

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Elbow Method

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t-SNE Visualization

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Final Customer Clusters

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📌 Business Insights

• High-value customers can be identified for premium marketing campaigns.
• Budget-conscious customers can receive promotional offers.
• Customer segmentation improves personalization.
• Businesses can optimize marketing expenditure using cluster-based targeting.

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🚀 Future Improvements

• DBSCAN Clustering
• Hierarchical Clustering
• Gaussian Mixture Models
• Interactive Dashboard using Streamlit
• Deployment using Flask

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⚙️ Installation

git clone https://github.com/sashankabhiram/Customer-Segmentation-Using-Unsupervised-Learning.git

cd Customer-Segmentation-Using-Unsupervised-Learning

pip install -r requirements.txt

jupyter notebook

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📁 Project Structure

Customer-Segmentation-Using-Unsupervised-Learning
│
├── data
├── notebooks
├── images
├── results
├── README.md
├── requirements.txt
└── LICENSE

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👨‍💻 Author

Muthyala Sashank Abhiram

Passionate about Machine Learning, Data Science, UI/UX Design, and AI.

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