This is a machine learning project that predicts the salaries of employees based on various job-related factors. The dataset used contains 12 features, such as years of experience, education level, and job type. The project goes through the process of exploratory data analysis, feature engineering, model training, and hyperparameter tuning to achieve a low mean absolute error (MAE) of 5.72 thousand dollars.
اسم المستقل | Abdelrahman M. |
عدد الإعجابات | 0 |
عدد المشاهدات | 22 |
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