{"id":25607196,"url":"https://github.com/mkk-1817/hr-attrition","last_synced_at":"2026-05-03T11:33:51.143Z","repository":{"id":213667524,"uuid":"734638239","full_name":"mkk-1817/HR-Attrition","owner":"mkk-1817","description":"This project, conducted during my internship at MeriSKILL, focuses on HR Attrition Prediction using advanced Machine Learning models. 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I'm thrilled to present my second project as a Data Analyst Intern at MeriSKILL. In this project, I delved into HR Attrition Prediction using a Machine Learning model, complete with a dynamic Dashboard and comprehensive Analysis. The primary objective is to offer actionable insights for proactive HR strategies based on diverse employee attributes. 💼\n\n## Tools Utilized\n🛠️ During this project, I leveraged the following tools:\n1. **Jupyter Notebook:** An open-source web app for interactive computing.\n2. **Power BI:** Microsoft's Business Intelligence tool for visualizing and sharing data insights through interactive reports and dashboards.\n\n## Models and Techniques\n🔍 The predictive models and techniques applied include:\n- **Logistic Regression**\n- **Decision Tree**\n\n## Excitement Ahead\nThrilled about this journey and grateful for the opportunity to contribute to meaningful projects! 🌟 Stay tuned for more updates. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmkk-1817%2Fhr-attrition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmkk-1817%2Fhr-attrition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmkk-1817%2Fhr-attrition/lists"}