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Salary Predicition Web-App using Machine Learning Algorithms and Dashboard for StackOverflow developer survey data visualization

1. Methodology

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2. Description

Models used - Decision Trees , Linear Regressor and Gradient Regressor.

Dataset used - StackOverflow Developer Survey 2020

Created a WebApp where user can predict Software Developer salary by giving input various number of features such as Country , Level of Education and Work Experience. Salary is predicted using Machine Learning models such as Decision Trees , Linear Regressor and more.

The data is taken from Developer Survey result by StackOverflow 2020. The data is then cleaned and scaled before applying the regression model.

Streamlit library is used to render WebApp and link the model to a WebApp where user can input various fields in port of buttons and sliders and the python script calculates the salary based on the given input using the regression model selected.

3. Input/Output

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4. Live Link

https://dhairya163-salary-predicition-using-ml-app-zsd8e4.streamlit.app/

5. Screenshots of the Interface

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