There are different type of people with different race, sex, country, marrital status etc having different workclass and occupation it become necessary to know in which salary class a person falls. The Goal is to predict whether a person has an income of more than 50K a year or not. This is basically a binary classification problem where a person is classified into the >50K group or <=50K group.

I have created a complete blog to solve this machine learning problem.

• Created a website that estimates salary class to help adults negotiate their income when they get a job.
• Used dataset from Kaggle which has various paramters related to adult.
• Applied data clearning practice to remove missing values and done EDA to get insights about data.
• Used Logistic regression and Random forest models to get the best accuracy.
• Created a website using Streamlit library.

Link to GitHub Repository

• Machine Learning