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.
🔍✨ A machine learning project that predicts income based on various demographic factors using Random Forest and Gradient Boosting algorithms. Includes data preprocessing, hyperparameter tuning, and model evaluation with detailed performance metrics. 📊🤖
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.
I analyze and explore US Census Bureau Data using Data Visualization techniques to identify salient features useful for predicting an individual's income level. We use those relevant features and multiple classification methods (Decision-Tree, SVM, and K-Nearest Neighbor) to predict the income level for unknown individuals. Our client is a local…
This repository contains a model for predicting if an individual earns above or below an income threshold
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.
Predict whether income exceeds $50K/yr based on census data.
Building a Classification model to predict whether a person's annual Income is more than $50K or below $50K
Building an Income Prediction System Using Machine Learning Model and Deploying it as a Web App
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.
Project that focuses on find the determinants of income using the dataset: https://www.kaggle.com/datasets/fedesoriano/gender-pay-gap-dataset
This project aims to predict the income bracket of individuals based on a variety of features, and presents a holistic comparative analysis between multiple machine learning algorithms through hyperparameter optimization on a binary classification problem.
Udacity Machine Learning Engineer Nanodegree Program Capstone Project
The goal of this project is to predict whether an individual's income is greater than $50,000 or less than $50,000 based on various features.
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