This is a machine learning model that utilizes the Gradient Boosting Classifier algorithm to predict income based on various attributes such as age, workclass, education, marital status, and more. This project features a web application deployed on the Heroku (previously) & Streamlit platform, which serves as the focal point for experimenting with deploying an ML model using Flask & Streamlit.
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An experiment with machine learning model deployment using the Flask framework on Heroku & Streamlit. This project features a simple machine learning model that utilizes the Gradient Boosting Classifier algorithm to predict an employee's income.
azizp128/income-prediction-flask
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An experiment with machine learning model deployment using the Flask framework on Heroku & Streamlit. This project features a simple machine learning model that utilizes the Gradient Boosting Classifier algorithm to predict an employee's income.