{"id":20130548,"url":"https://github.com/md-emon-hasan/ml-project-customer-segmentation","last_synced_at":"2026-05-11T17:33:15.277Z","repository":{"id":261105287,"uuid":"883279324","full_name":"Md-Emon-Hasan/ML-Project-Customer-Segmentation","owner":"Md-Emon-Hasan","description":"📈 Implementing clustering algorithms, it provides valuable insights that can targeted marketing strategies, improve customer relationship management.","archived":false,"fork":false,"pushed_at":"2024-11-04T17:47:03.000Z","size":33082,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-11-30T08:44:11.456Z","etag":null,"topics":["analytics","churn-prediction","custom-elements","customer-segmentation","kmeans-clustering","marketing-analytics","rfm","rfm-analysis"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Md-Emon-Hasan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-04T17:26:50.000Z","updated_at":"2024-11-04T17:47:06.000Z","dependencies_parsed_at":"2024-11-04T18:50:30.281Z","dependency_job_id":null,"html_url":"https://github.com/Md-Emon-Hasan/ML-Project-Customer-Segmentation","commit_stats":null,"previous_names":["md-emon-hasan/ml-project-customer-segmentation"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Md-Emon-Hasan/ML-Project-Customer-Segmentation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FML-Project-Customer-Segmentation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FML-Project-Customer-Segmentation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FML-Project-Customer-Segmentation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FML-Project-Customer-Segmentation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Md-Emon-Hasan","download_url":"https://codeload.github.com/Md-Emon-Hasan/ML-Project-Customer-Segmentation/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FML-Project-Customer-Segmentation/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32905931,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-11T17:09:15.040Z","status":"ssl_error","status_checked_at":"2026-05-11T17:08:45.420Z","response_time":120,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["analytics","churn-prediction","custom-elements","customer-segmentation","kmeans-clustering","marketing-analytics","rfm","rfm-analysis"],"created_at":"2024-11-13T20:39:01.364Z","updated_at":"2026-05-11T17:33:15.254Z","avatar_url":"https://github.com/Md-Emon-Hasan.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Customer Segmentation Project\n\n![plpso-feratures-data-business](https://github.com/user-attachments/assets/3805be0a-ecd5-4b18-ac0c-0b324e50a6af)\n\n## Project Description\n\nThis project aims to utilize machine learning for **customer segmentation** by analyzing purchasing behavior. Through clustering techniques, specifically K-means, businesses can identify distinct customer groups, allowing for more targeted marketing strategies and enhanced customer relationship management.\n\n## Key Features\n\n- **Data Cleaning**: Efficiently preprocess raw data to prepare it for analysis.\n- **Exploratory Data Analysis**: Visualize customer data to uncover patterns and insights.\n- **K-Means Clustering**: Apply clustering algorithms to segment customers based on their behavior.\n- **Data Visualization**: Generate insightful visualizations that illustrate customer segments.\n\n## Technologies Used\n\n- **Programming Language**: Python\n- **Libraries**: \n  - Pandas\n  - NumPy\n  - Matplotlib\n  - Seaborn\n  - Scikit-learn\n- **Environment**: Jupyter Notebook\n\n## Getting Started\n\nTo run this project locally, follow these steps:\n\n1. **Clone the Repository**:\n   ```bash\n   git clone https://github.com/Md-Emon-Hasan/ML-Project-Customer-Segmentation.git\n   ```\n\n2. **Navigate to the Project Directory**:\n   ```bash\n   cd ML-Project-Customer-Segmentation\n   ```\n\n3. **Install Dependencies**:\n   Make sure you have Python installed, then run:\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n4. **Run the Jupyter Notebook**:\n   Start Jupyter Notebook with:\n   ```bash\n   jupyter notebook\n   ```\n   Open the file `Customer_Segmentation.ipynb` to view and execute the analysis.\n\n## Dataset\n\nThe dataset used in this project is located in the `data/` folder. It contains various customer attributes that serve as the basis for segmentation analysis. Ensure to inspect the dataset and understand its structure before proceeding.\n\n## Results and Insights\n\nThis project produces several key visualizations that help illustrate the differences between customer segments. Insights gained from these visualizations can inform marketing strategies and enhance customer engagement efforts.\n\n## How to Contribute\n\nWe welcome contributions! If you have ideas for improvements, please fork the repository and submit a pull request, or open an issue to discuss your suggestions.\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more information.\n\n## Contact\n\nFor any inquiries or feedback, feel free to reach out:\n\n- **Md Emon Hasan**\n- **Email:** [iconicemon01@gmail.com](mailto:iconicemon01@gmail.com)\n- **WhatsApp:** [+8801834363533](https://wa.me/8801834363533)\n- **GitHub:** [Md-Emon-Hasan](https://github.com/Md-Emon-Hasan)\n- **LinkedIn:** [Md Emon Hasan](https://www.linkedin.com/in/md-emon-hasan)\n- **Facebook:** [Md Emon Hasan](https://www.facebook.com/mdemon.hasan2001/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmd-emon-hasan%2Fml-project-customer-segmentation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmd-emon-hasan%2Fml-project-customer-segmentation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmd-emon-hasan%2Fml-project-customer-segmentation/lists"}