Streamlit machine learning application development tutorial

Streamlit Machine learning application development tutorial

Analyzing data and building machine learning models are one thing . Packaging these analyses and models into a shareable way is quite another matter .

This course is designed to teach you how to use Streamlit The fastest way to build and share data applications 、 The easiest way . You don't need any experience building front-end applications for this .

English name of the course ：Complete Guide to Data Science Applications with Streamlit

This video tutorial consists of 11.0 Hours , Chinese and English subtitles , The image quality is clear without watermark , All source code attachments

Download address

Baidu online address ：https://pan.baidu.com/s/1-aBne5DtBc8hbZQQnE04Yg?pwd=tohs

Course is an introduction to ：https://www.aihorizon.cn/130

Course content

Python acceleration program NumPy acceleration program Streamer introduction stay Streamlit In the integration Matplotlit and Seaborn stay Streamlit Use in Altair and Vega-Lite Know all Streamlit The widget Upload and process files Build image processing applications Develop natural language processing applications Compare the map with Streamlit Integrate Realize drawing Validate your application stay Streamlit Layout your application in Use Streamlit Component development Deploy data applications

Computer subtitle video tutorial network https://www.aihorizon.cn Continuous updating Udemy,Coursera Wait for video tutorials in online classes , Categories cover AI 、 machine learning 、 programing language 、 Game development 、 Network security 、 Cloud computing 、Linux Operation and maintenance 、 All knowledge of computer science such as interview skills .

All video tutorials contain Chinese and English subtitles 、 Exercise source code and supporting supplementary materials .