The income classification model is done with python (sklearn, pandas, NumPy, and flask) and deployed on Heroku.
In this project, I have built the model which predicts the income of the person or employee either is greater than 50k$ or less than 50K$. This income classification model is based on different features like fnlwgt, education, occupation, capital-gain, capital-loss, income, and hours-per-week, etc. so this is a classification problem I used different classification algorithms to solve this problem and select the best performing algorithm. This project is deployed in production I converted this project into a web app so users just need to provide the data and model predict the class of that provided data.