This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
This repository contains a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information. The project utilizes the Adult Income Dataset, which is widely cited in machine learning literature and is sourced from the UCI Machine Learning Repository.
The goal of this project is to build a predictive model that can accurately classify whether an individual's income is greater than $50,000 (>50K
) or less than or equal to $50,000 (<=50K
). The dataset includes various attributes that describe an individual's demographics and other relevant features, such as age, education level, occupation, and more.
age
: Continuousworkclass
: Categorical (e.g., Private, Self-emp, Government)fnlwgt
: Continuouseducation
: Categorical (e.g., Bachelors, Masters, Doctorate)education-num
: Continuousmarital-status
: Categorical (e.g., Married, Never-married, Divorced)occupation
: Categorical (e.g., Tech-support, Sales, Exec-managerial)relationship
: Categorical (e.g., Wife, Own-child, Husband)race
: Categorical (e.g., White, Black, Asian-Pac-Islander)sex
: Categorical (e.g., Female, Male)capital-gain
: Continuouscapital-loss
: Continuoushours-per-week
: Continuousnative-country
: Categorical (e.g., United-States, Canada, Mexico)income
: Categorical (Target variable: <=50K
, >50K
)The primary objective of this project is to explore and analyze the dataset to uncover the relationships between different features and the target variable (Income). Based on the analysis, various machine learning algorithms will be applied to build a model that can predict the income class of an individual.
This dataset was originally extracted from the 1994 U.S. Census by Barry Becker and has been a popular choice for benchmarking machine learning algorithms. The dataset is publicly available on the UCI Machine Learning Repository.
```
git clone https://github.com/gappeah//Income-Prediction-ML.git
```
root
│
├── README.md
├── main.ipynb
└── adult.csv
Contributions to this project are welcome. If you have any improvements or additional models to suggest, please create a pull request or open an issue for discussion.
This project is licensed under the MIT License. See the LICENSE
file for more details.