https://github.com/adi-200/adult_census_income_prediction_ml_project

Decoding Dollars: Adult Census Income Prediction
https://github.com/adi-200/adult_census_income_prediction_ml_project

data-science datavisualization eda machine-learning machine-learning-algorithms prediction

Last synced: about 2 months ago
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Decoding Dollars: Adult Census Income Prediction

• Host: GitHub
• URL: https://github.com/adi-200/adult_census_income_prediction_ml_project
• Owner: Adi-200
• Created: 2024-07-23T17:43:35.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-07-23T18:53:20.000Z (6 months ago)
• Last Synced: 2024-07-23T22:10:57.392Z (6 months ago)
• Topics: data-science, datavisualization, eda, machine-learning, machine-learning-algorithms, prediction
• Language: Jupyter Notebook
• Homepage:
• Size: 2.43 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Decoding Dollars: Adult Census Income Prediction

## Abstract

#### The Adult Census Income Prediction Project aims to develop a machine learning model to predict whether an individual's income exceeds $50,000 per year based on demographic and employment attributes from the U.S. Census Bureau's Adult dataset. This project involves several key steps, including data preprocessing, exploratory data analysis, feature engineering, model selection, and evaluation.

#### Various algorithms, such as Logistic Regression, KNeighbor Classifier,Decision Trees and Random Forests are tested and optimized using techniques like GridSearchCV to find the best hyperparameters. The final model's performance is evaluated using metrics like accuracy, precision, recall, and the F1-score. The goal is to provide insights into the factors influencing income levels and build a robust predictive model for practical applications in fields like economic planning and policy-making.¶