In 2021, a precise forecast of Iran Post's 2021-2022 income was achieved using ARIMA, with only a 1.5\% error. This approach was subsequently extended to estimate the income and traffic for 2022-2023.

Predict whether income exceeds $50K/yr based on census data.

To build a classification methodology to determine whether a person makes over 50K per year.

Census income prediction by employing the power of supervised learning

a predictive model to determine the income level for people in US. Imputed and manipulated large and high dimensional data using data.table in R. Performed SMOTE as the dataset is highly imbalanced. Developed naïve Bayes, XGBoost and SVM models for classification

Basic Machine Learning Classifiers with scikit-learn.

This repository contains a model for predicting if an individual earns above or below an income threshold

Income Tax Calculator is a comprehensive web application designed to provide net income estimates after federal and state taxes. Built with TypeScript, and NextJs, it offers detailed breakdowns for both hourly and salaried income types.

Building an Income Prediction System Using Machine Learning Model and Deploying it as a Web App

This project focuses on predicting the income of individuals based on a diverse set of demographic and socio-economic features. Using the Adult Income dataset, I used a Random Forest model to address this classification task.

Building a Classification model to predict whether a person's annual Income is more than $50K or below $50K

A Machine Learning project to predict whether an individual’s income exceeds $50K using U.S. Census data — includes data cleaning, feature engineering, and model training.

A machine learning project that predicts whether a person earns more than $50K/year using U.S. Census data. This end-to-end pipeline includes data ingestion, transformation, model training, and a Flask-based prediction interface. Built as a practice project to understand real-world ML workflows.

Predict whether income exceeds $50K/yr based on census data.

Udacity Machine Learning Engineer Nanodegree Program Capstone Project

End-to-end income classification pipeline using PySpark ML — preprocessing, feature engineering, and Logistic Regression on the UCI Adult Income dataset.

A deep learning model capable of predicting your income based on Age, Sex, Race, Education, Marital-Status, working hours/week, native country, and occupation with an accuracy of almost 85%.