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Designed a prediction model using Machine Learning Algorithms to predict if an employee will leave the job or not based on some important factors such as salary, work time, gender, educational qualification etc.

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SumedhaZaware/Employee-Attrition-Prediction

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Employee-Attrition-Prediction

The aim is to predict if an employee will leave the current job or not based on features such as educational qualification, salary, work time, age, gender etc. For doing so, Machine learning algorithms such as KNN, Support Vector Machine, Logistic regression and Random Forest are used.

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For data preprocessing, data visualization, feature engineering, sampling of dataset and model building, Python is used as the programming language. For implementing the frontend, Streamlit is used.

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Sumedha Zaware

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Designed a prediction model using Machine Learning Algorithms to predict if an employee will leave the job or not based on some important factors such as salary, work time, gender, educational qualification etc.

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