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This Employee salary prediction uses GradientBoostingClassifier machine learning algorithm to predict the classified predictions which will be above 50000rs or below.

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EDUNET-Employee-salary-prediction

This Employee salary prediction uses GradientBoostingClassifier machine learning algorithm to predict the classified predictions which will be above 50000rs or below.

Python Libraries Needed :

  • Scikit-learn - for machine learning model building, processing, and evaluation ( GradientBoostingClassifier, train_test_split, LabelEncoder).
  • Joblib - for saving and loading models.
  • Pandas - for data manipulation and analysis.
  • Streamlit - for deploying the model as web application.

Use following commands in cmd to install:

pip install scikit-learn joblib pandas streamlit

TO RUN : run the salary_prediction.ipynb file

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This Employee salary prediction uses GradientBoostingClassifier machine learning algorithm to predict the classified predictions which will be above 50000rs or below.

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