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所在平台: Udemy |
课程主页: https://www.udemy.com/course/streamlit-deploy-your-data-ml-app-on-the-web-with-python/
课程评论：没有评论
课程名称：Streamlit：使用Python在网络上部署您的数据和机器学习应用 课程概述：您是否曾因在Jupyter Notebook上开发出色的机器学习模型但无法在现实中进行测试而感到沮丧？Streamlit的核心价值在于能够将您的数据项目在网络上部署，从而使全世界都能通过您的Web应用程序使用它。这意味着您所有的数据项目都将焕发活力！您将能够分享您的图像分类器，让其他人通过上传自己的图片来使用您的模型；实时部署Elon Musk最新推文的情感评分；或为您的企业团队制作带有身份验证系统的互动仪表盘，以限制访问权限。 本课程的开发源于众多想要了解我如何开发一个被超过10,000人使用的实时火车预订Web应用程序的人们的需求。实际上，您可以使用Streamlit开发任何类型的应用，而不仅限于数据/人工智能应用！多种用例的可能性几乎是无限的！最棒的是，您只需具备Python的基本知识，而不需要拥有Web开发、数据工程或云计算的技能。 课程分为两部分：第一部分为练习环节，我们将学习Streamlit的基础知识，从连接数据库系统，到创建界面，最后到在云中部署；第二部分则专注于训练项目：开发和生产一款追踪和分析S&P500股票的应用，包括股票价格演变的可视化和绩效指标的计算，数据将通过API请求。 通过Streamlit将您的数据项目提升到一个新水平！欢迎体验课程:) 注：本课程为另一门法语Streamlit课程的英文版，该课程已发布在Udemy上。
Have you ever felt the frustration of having developed a great Machine Learning model on your Jupyter Notebook and never being able to test it against real-world use? That's the core value proposition of Streamlit: To be able to deploy your Data project on the web so that the whole world can use it through your own web application!Thus, all your Data projects will come to life! You will be able to: Share your beautiful image classifier so that other people can use your model by uploading their own images.Deploy the sentiment score of Elon Musk's latest tweets in real time with NLP.Or make interactive dashboards for your corporate teams with an authentication system to restrict access to only a few people.I developed this course after dozens of people contacted me to know how I developed a real-time train reservation web application used by more than 10 000 people. Because yes, you can use streamlit for any kind of application and not only for data / AI applications!In short, hundreds of use cases are possible with streamlit!The great thing about it is that all you need is some knowledge of Python.And that no skills in web development, data engineering or even cloud are necessary.This course is divided into 2 parts: An exercise part where we will see all the fundamentals of Streamlit, from connecting to a database system, through the creation of the interface and finally the part on deployment in the cloud!A second part dedicated to the training project: Development and production of a tracking and analysis application for S & P5O0 stocks, including the visualization of stock price evolution and the calculation of performance indicators. The data will be requested via an API.Take your data projects to the next level with Streamlit!Enjoy the training:) PS: This course is the english version of another french course on streamlit that I put on udemy.
