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Getting started with Streamlit for data science : create and deploy Streamlit web applications from scratch in Python /
Create, deploy, and test your Python applications, analyses, and models with ease using StreamlitKey FeaturesLearn how to showcase machine learning models in a Streamlit application effectively and efficientlyBecome an expert Streamlit creator by getting hands-on with complex application creationDis...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
[2021]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Table of Contents An Introduction to Streamlit Uploading, Downloading, and Manipulating Data Data Visualization Using Machine Learning with Streamlit Deploying Streamlit with Streamlit Sharing Beautifying Streamlit Apps Exploring Streamlit Components Deploying Streamlit Apps with Heroku and AWS Improving Job Applications With Streamlit The Data Project - Prototyping Projects in Streamlit Using Streamlit for Teams Streamlit Power Users.