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所在平台: Udemy |
课程主页: https://www.udemy.com/course/basics-of-streamlit/
课程评论：没有评论
**课程名称：Streamlit 基础** **课程概述：** 本课程旨在帮助数据科学爱好者们克服创建 Web 应用和部署机器学习模型的挑战。Streamlit 库极大地简化了这一过程，即使没有 Web 开发知识（HTML/CSS），也能用 Python 创建出专业级的 Web 应用。 **课程内容：** * **Streamlit 基础元素介绍：** * 在应用中添加文本和数据 * 绘制图表 * 创建应用布局 * 添加交互式控件 (Widgets) * 修改 Web 应用的主题 * **结合 Streamlit 和机器学习：** * 创建一个基础 Web 应用，演示如何将 Streamlit 与机器学习模型结合。 **学习目标：** 完成本课程后，您将能够： * 在短时间内创建自己的 Web 应用。 * 为您的机器学习模型构建用户界面。 * 部署您的 Web 应用程序。 **面向人群：** 本课程特别适合想要了解 Streamlit 工作原理的绝对初学者。 **学习建议：** * 建议在学习前复习 Python 基础。 * 强烈建议边学边练，亲手编写代码以获得更好的学习效果。 * 作者偏好使用 VS Code 进行编码，但您也可以使用自己喜欢的编辑器。 * 课程力求简单易懂，可能不会涉及最严谨的代码实践。
Creating a web app and deploying the ML model is the toughest part since most the data science enthusiasts are not familiar with web dev. But Streamlit has made the job extremely easy. Being a Data Science enthusiast, I would like to share and contribute my learnings to the community!This course introduces you to the basics of Streamlit library. Create professional-looking web applications with python without the knowledge of HTML/CSS.The course introduces the basic elements of streamlit:Adding Text and Data to your appPlotting GraphsCreating layoutAdding widgetsChanging the theme of your web applicationCreate a basic web app to understand how to combine streamlit and Machine learning models.By the end of the course, you will be able tocreate your own web app within few hourscreate a user interface for your ML modelsdeploy your web applicationBefore you begin, I would suggest you to brush up on your python skills.I would also suggest coding along for better learning and understanding!This course is for absolute beginners who want to understand how streamlit works.I have tried to keep things as simple as possible and therefore you might not find me using the best coding practices.I prefer using VS Code for coding but feel free to use your favourite editor!
