In this Project, we are going to predict whether a person's annual income is more than $50K or below $50K using various features like age, education, workclass, country, occupation etc. And this is a binary classification problem. The dataset we are going to use is the Adult census income dataset from Kaggle which contains about 32561 rows and 15 features.
-
If you want to view the deployed model, click on the following link : https://incomep.herokuapp.com/
-
If you are searching for Code, Algorithms used and Accuracy of the model Please Open "Income Prediction.ipynb" file