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 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

Census income prediction by employing the power of supervised learning

Basic Machine Learning Classifiers with scikit-learn.

🔍✨ 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. 📊🤖

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

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…

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.

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

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%.

This repo stores the script, the data, and its description for the kernels published on kaggle.

Project that focuses on find the determinants of income using the dataset: https://www.kaggle.com/datasets/fedesoriano/gender-pay-gap-dataset

CS7CS4- Machine Learning- Income Prediction- Kaggle Competition

Individual Machine Learning competition code as part of the 2019/20 Machine Learning module at Trinity College Dublin

Finding Donors for CharityML using supervised learners.

TCD Machine Learning Kaggle Individual Competition in which one predicted the income of people with Machine Learning using pandas, numpy and sklearn.