https://github.com/xkomil/machine-learning-web-app

This project is a web application built using Streamlit to estimate your income based on various factors. The application uses a machine learning model trained on data from the 2023 Stack Overflow survey.
https://github.com/xkomil/machine-learning-web-app

machine-learning sklearn streamlit-webapp

Last synced: 29 days ago
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This project is a web application built using Streamlit to estimate your income based on various factors. The application uses a machine learning model trained on data from the 2023 Stack Overflow survey.

• Host: GitHub
• URL: https://github.com/xkomil/machine-learning-web-app
• Owner: xKomil
• License: mit
• Created: 2024-07-30T11:07:57.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-07-31T23:20:41.000Z (3 months ago)
• Last Synced: 2024-10-10T08:06:57.973Z (29 days ago)
• Topics: machine-learning, sklearn, streamlit-webapp
• Language: Jupyter Notebook
• Homepage:
• Size: 1.19 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Machine-Learning-Web-App

## Estimated Income Calculator

![alt text](image.png)

This repository contains a web application built with Streamlit that estimates your income based on various factors. The underlying model is a machine learning model trained on Stack Overflow's 2023 survey data.

## Features:

- User-friendly Interface: Easy-to-use web interface for inputting relevant details.

- Real-time Predictions: Instant estimation of your potential income based on the provided inputs.

- Advanced Machine Learning Model: The application leverages a Decision Tree Regressor model that has been tuned to provide accurate income predictions.

## How to Run

Clone the Repository:

git clone https://github.com/xKomil/Machine-Learning-Web-App.git

cd Machine-Learning-Web-App

## Install Dependencies:

Ensure you have Python installed (preferably version 3.7 or above). Install the required packages using pip:

pip install -r requirements.txt

## Run the Application:

Start the Streamlit application by running:

streamlit run app.py

This will start a local server, and you can access the application in your web browser at http://localhost:8501.

Input Fields

The application requires the following inputs to estimate your income:

Country: The country where you are employed.

Education Level: Your highest level of education.

Years of Professional Coding Experience: Number of years you have worked as a professional coder.

Age: Your age.

Output

The application will output an estimated yearly income based on the inputs provided.

Data Source

The 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.

Model

The machine learning model used is a Decision Tree Regressor, which was tuned using GridSearchCV for optimal performance.