GitHub - bibek36/Predicting-Employee-Attrition: This project focuses on predicting employee attrition using machine learning techniques. It analyzes factors influencing employee turnover, such as job satisfaction, work environment, and compensation. By leveraging data preprocessing, feature selection, and classification models, the project provides insights for retaining valuable talents.

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This project focuses on predicting employee attrition using machine learning techniques. It analyzes factors influencing employee turnover, such as job satisfaction, work environment, and compensation. By leveraging data preprocessing, feature selection, and classification models, the project provides insights for retaining valuable talents.

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EDA.ipynb		EDA.ipynb
Interview.csv		Interview.csv
code.ipynb		code.ipynb
interview(Cleaned).csv		interview(Cleaned).csv
project_info.txt		project_info.txt