Ternium hiring ML web app

Ternium Hiring Web App is a Python web application built with Streamlit. It provides functionality for predicting candidate suitability based on various attributes, analyzing data, and making database predictions.

Check model creation

Table of Contents

• Installation
• Usage
• Credits

Installation

1. Clone the repository:

   git clone https://github.com/enriquegv001/Ternium-Final.git
   cd <repository_directory>
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

Usage

1. Run the web application:

   streamlit run app.py
   

2. Choose an option from the sidebar: "Predecir por candidato" (Predict by candidate), "Predecir por base de datos" (Predict from the database), or "Análisis descriptivo" (Descriptive analysis).

3. Follow the prompts and interact with the application to perform predictions and explore data.

Watch our Example Video

Credits

• Contact: [email protected]