Skip to content

Latest commit

 

History

History
53 lines (34 loc) · 1.45 KB

README.md

File metadata and controls

53 lines (34 loc) · 1.45 KB
Raw

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

  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