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align=\"center\"\u003e\n  \n  ![Identify_Customer_Segments](https://github.com/user-attachments/assets/ace79575-8b5b-4638-9486-836a55669e3a)\n\n   ![GitHub repo size](https://img.shields.io/github/repo-size/BaraSedih11/Identify_Customer_Segments) ![GitHub repo file count (file type)](https://img.shields.io/github/directory-file-count/BaraSedih11/Identify_Customer_Segments) [![Python Version](https://img.shields.io/badge/python-3.8-blue)](https://www.python.org/downloads/release/python-380/)\n[![Pip Version](https://img.shields.io/badge/pip-21.0-orange)](https://pypi.org/project/pip/21.0/)\n ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/BaraSedih11/Identify_Customer_Segments/main)\n[![Version](https://img.shields.io/badge/version-v1.0.0-blue)](https://github.com/BaraSedih11/Identify_Customer_Segments/releases/tag/v1.0.0)\n[![Contributors](https://img.shields.io/github/contributors/BaraSedih11/Identify_Customer_Segments)](https://github.com/BaraSedih11/Identify_Customer_Segments/graphs/contributors)\n![GitHub pull requests](https://img.shields.io/github/issues-pr-raw/BaraSedih11/Identify_Customer_Segments)\n  \n\u003c/div\u003e\n\nThis project applies **unsupervised learning** techniques to segment customers based on their purchasing behaviors. By clustering customers into meaningful groups, businesses can target their strategies more effectively and optimize resource allocation.\n\n## Project Overview\n\nThe main goal of this project is to identify distinct customer segments using clustering algorithms. Key steps include:\n- Data preprocessing and feature scaling.\n- Dimensionality reduction using **Principal Component Analysis (PCA)**.\n- Clustering with **K-Means** and analyzing the results.\n\n## Tools and Technologies\n- **Python**\n- **Scikit-learn** for clustering and PCA\n- **Matplotlib** and **Seaborn** for data visualization\n\n## Results\n- Identified unique customer segments based on their purchasing behaviors.\n- Generated actionable insights for targeted marketing and resource optimization.\n\n## How to Run\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/BaraSedih11/Identify_Customer_Segments.git\n   ```\n2. Install the required libraries:\n  ```bash\n  pip install -r requirements.txt\n  ```\n3. Run the notebook or script for analysis.\n\n* here is the last dataset:\n[dataset](https://drive.google.com/file/d/1KrVT1iFc-EzmL6_Y0MxOyGM1laF8LjRA/view?usp=sharing)\n\n## Acknowledgments\nThis project is part of the **Udacity Intro to Machine Learning with TensorFlow Nanodegree**.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fudacity-machinelearning-internship%2Fidentify_customer_segments","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fudacity-machinelearning-internship%2Fidentify_customer_segments","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fudacity-machinelearning-internship%2Fidentify_customer_segments/lists"}