{"id":15158041,"url":"https://github.com/xkomil/machine-learning-web-app","last_synced_at":"2026-02-26T01:50:56.390Z","repository":{"id":250874352,"uuid":"835700012","full_name":"xKomil/Machine-Learning-Web-App","owner":"xKomil","description":"This project is a web application built using Streamlit to estimate your income based on various factors. 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The underlying model is a machine learning model trained on Stack Overflow's 2023 survey data.\n\n## Features:\n- User-friendly Interface: Easy-to-use web interface for inputting relevant details.\n- Real-time Predictions: Instant estimation of your potential income based on the provided inputs.\n- Advanced Machine Learning Model: The application leverages a Decision Tree Regressor model that has been tuned to provide accurate income predictions.\n## How to Run\nClone the Repository:\n\ngit clone https://github.com/xKomil/Machine-Learning-Web-App.git\ncd Machine-Learning-Web-App\n\n## Install Dependencies:\nEnsure you have Python installed (preferably version 3.7 or above). Install the required packages using pip:\n\npip install -r requirements.txt\n\n## Run the Application:\nStart the Streamlit application by running:\n\nstreamlit run app.py\nThis will start a local server, and you can access the application in your web browser at http://localhost:8501.\n\nInput Fields\nThe application requires the following inputs to estimate your income:\n\nCountry: The country where you are employed.\nEducation Level: Your highest level of education.\nYears of Professional Coding Experience: Number of years you have worked as a professional coder.\nAge: Your age.\nOutput\nThe application will output an estimated yearly income based on the inputs provided.\n\nData Source\nThe model is trained on the 2023 Stack Overflow survey [data](https://survey.stackoverflow.co), which includes a wide range of variables and responses from software professionals worldwide.\n\nModel\nThe machine learning model used is a Decision Tree Regressor, which was tuned using GridSearchCV for optimal performance.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxkomil%2Fmachine-learning-web-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fxkomil%2Fmachine-learning-web-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxkomil%2Fmachine-learning-web-app/lists"}