Gender Ethnicity Model

Welcome to the Gender Ethnicity Model repository! This repository contains the implementation of a machine learning model designed to predict gender and ethnicity based on first name.

Overview

The goal of this project is to create a reliable model that can accurately predict gender and ethnicity. This model can be useful in various applications, including demographic analysis, personalized marketing, and more.

Project Structure

• USA_Names/: This directory contains the dataset used for training and testing the model.
• GenderEthnicityModel.ipynb/: This directory includes Jupyter notebooks with exploratory data analysis (EDA), model training, and evaluation.
• README.md: Project documentation.

Getting Started

Prerequisites

Make sure you have the following installed:

• Python 3.x
• Jupyter Notebook
• Required Python libraries (see requirements.txt)

Installation

1. Clone the repository:

   git clone https://github.com/th-shristi/GenderEthnicityModel.git
   cd GenderEthnicityModel

2. Install the required libraries:

   pip install -r requirements.txt