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The Salary Prediction App forecasts employee salaries based on years at the company, satisfaction level, and monthly hours worked. It uses a cleaned dataset and applies machine learning models like Linear Regression, Support Vector Regression, and Random Forest Regressor, with hyperparameter tuning done via GridSearchCV for improved accuracy.
Automated Python script leveraging Pyppeteer to scrape Indeed for salary data, including aggregated salary statistics and details on top companies for specified job titles and locations.
This project aims to provide NYC teachers with a comprehensive understanding of their expected annual salary growth, factoring in the impact of UFT salary contracts from 2015 to 2023.
Repositorio en el que se desarrollará el estudio, a nivel de España, sobre la influencia de diversos factores en la Necesidad de Atención Psicológica (NAT).