Customer Segmentation Analysis

🎯 This project is a Python-based customer segmentation analysis tool, aiming to group customers into distinct segments based on their purchasing behavior.

Overview

📊 The Customer Segmentation Analysis utilizes machine learning techniques to analyze customer data and identify patterns and similarities among customers. By segmenting customers into distinct groups, businesses can better understand their target audience and tailor their marketing strategies to specific customer segments.

Features

• Data Preprocessing: Clean and preprocess customer data to prepare it for analysis.
• Clustering Algorithms: Apply clustering algorithms such as K-means or Hierarchical clustering to segment customers.
• Visualization: Visualize customer segments using plots and charts for better interpretation.
• Insights: Extract insights from customer segments to inform marketing strategies and business decisions.

Installation

💻 To run this project locally, follow these steps:

1. Clone the repository: git clone https://github.com/Adityas266/Customer-segmentation.git
2. Install dependencies: pip install -r requirements.txt
3. Run the main script: python customer_segmentation.py

Usage

1. Prepare your customer data in CSV or Excel format.
2. Update the data file path in the customer_segmentation.py script.
3. Run the script to perform customer segmentation analysis.
4. Analyze the results and derive insights from the generated customer segments.

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