https://github.com/mkk-1817/hr-attrition

This project, conducted during my internship at MeriSKILL, focuses on HR Attrition Prediction using advanced Machine Learning models. The initiative includes the development of a dynamic Dashboard and in-depth Analysis to offer actionable insights for proactive human resource strategies.
https://github.com/mkk-1817/hr-attrition

data-analysis data-science data-visualization jupyter-notebook machine-learning-algorithms powerbi python

Last synced: about 2 months ago
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This project, conducted during my internship at MeriSKILL, focuses on HR Attrition Prediction using advanced Machine Learning models. The initiative includes the development of a dynamic Dashboard and in-depth Analysis to offer actionable insights for proactive human resource strategies.

• Host: GitHub
• URL: https://github.com/mkk-1817/hr-attrition
• Owner: mkk-1817
• Created: 2023-12-22T07:53:21.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-12-22T08:11:34.000Z (over 2 years ago)
• Last Synced: 2025-02-21T19:18:56.792Z (over 1 year ago)
• Topics: data-analysis, data-science, data-visualization, jupyter-notebook, machine-learning-algorithms, powerbi, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.44 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Data Analyst Intern Project: HR Attrition Prediction

## Overview

🚀 Hello everyone! 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. 💼

## Tools Utilized

🛠️ During this project, I leveraged the following tools:

1. **Jupyter Notebook:** An open-source web app for interactive computing.

2. **Power BI:** Microsoft's Business Intelligence tool for visualizing and sharing data insights through interactive reports and dashboards.

## Models and Techniques

🔍 The predictive models and techniques applied include:

- **Logistic Regression**

- **Decision Tree**

## Excitement Ahead

Thrilled about this journey and grateful for the opportunity to contribute to meaningful projects! 🌟 Stay tuned for more updates.