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This project aims to use k-means and Agglomerative clustering to segment customers into different groups based on their characteristics and purchasing habits. The goal is to understand the similarities and differences between the customer segments, which can help inform marketing strategies and target specific groups of customers.

License: MIT License

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customer_segmentation_clustering's Introduction

💫 About Me:

⌨️ I'm currently working on:
🎥 Large-scale fish video analysis using computer vision and deep learning
🐟 Achieving high accuracy in species identification and length measurement
🔭 Reducing manual effort by automating video processing with ML pipelines

👥 I'm looking to collaborate on:
🔓 Open-source machine learning projects
🕵️ Computer vision | 📖 Natural language processing | 📺 Recommender systems

🆘 I'm looking for help with:
⚡ Optimizing deep learning model performance and scalability
☁️ Deployment on cloud platforms (AWS, Azure)

📚 I'm currently learning:
🤖 Advanced deep learning (Vision Transformers, Large Language Models)
⚖️ Ethical and responsible AI development practices

💬 Ask me about:
🔧 Experience with data science tools (TensorFlow, PyTorch, PySpark)
🛒 Real-world applications (E-commerce, Computer Vision, Customer Analytics)

⚡ Fun fact:
🧠 Despite my technical background, I have a deep fascination for philosophy
🔭 Exploring societal implications of emerging technologies like AI