Income Estimator

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Description

The Income Estimator is a machine learning-powered salary prediction tool that utilizes demographic and employment-related data to classify individuals into two income categories: ≤50K or >50K per year. Trained on the Adult Income Dataset, this model uses a Random Forest Classifier to predict salary levels with high accuracy.

🔹 Who Can Use This?
✅ HR Professionals & Recruiters – Assess salary expectations for job candidates.
✅ Job Seekers – Estimate potential earnings based on qualifications and experience.
✅ Data Scientists & ML Enthusiasts – Learn how machine learning models predict salaries.
✅ Economists & Analysts – Gain insights into income distribution trends.

Key Features:

✔ Machine Learning-Powered Predictions – Uses a trained Random Forest Model.
✔ User-Friendly Interface – Built with Streamlit for quick and easy interaction.
✔ Demographic & Work-Based Inputs – Includes age, education, occupation, work hours, and more.
✔ Real-Time Salary Estimation – Get instant salary category predictions.
✔ Optimized Data Preprocessing – Encodes categorical features and scales numerical values.
✔ Customizable & Extendable – Modify the model, dataset, and features for better accuracy.

Additional information

Software Type

Python Script, Open Source, Downloadable

Programming Language

Python

Framework / Library

Jupyter, Scikit Learn, Streamlit

Operating System

Cross-Platform

File Type

.ipynb, .py

Installation Required

No

Skill Level

Beginner, Intermediate

Machine Learning Model

Random Forest Classifier

Dataset Used

Adult Income Dataset

Model Accuracy

~85% (depends on dataset tuning)

File Size

Small (<1MB)

License Type

Free, Open Source

Updates Included

Limited

Support Type

Community Forum, Email

Documentation

Included, Online Guide

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Product Details

Original price was: ₹250.00.Current price is: ₹100.00.

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Product Information

  • Price
    :

    Original price was: ₹250.00.Current price is: ₹100.00.

  • Released
    :

    March 6, 2025

  • Last Updated
    :

    March 7, 2025

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Original price was: ₹250.00.Current price is: ₹100.00.