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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-streamlit-python-from-scratch-streamlit-bootcamp/
课程评论：没有评论
课程名称：从零开始学习 Streamlit Python - Streamlit 密训营 课程概述： 您是否在构建数据科学项目的网络应用时遇到困难？是否花费过多时间尝试创建一个简单的 MVP 应用来展示数据？欢迎了解 Streamlit - 这是一个用于构建网络应用的 Python 框架。本课程是学习如何使用 Streamlit 框架和 Python 创建数据科学和机器学习网页应用的最佳在线资源。 在本课程中，我们将教授您关于 Streamlit 的所有基础知识，包括： - Streamlit 的基本原理和基础知识 - 文本处理 - 小部件的使用（按钮、滑块等） - 数据显示 - 图表和绘图展示 - 媒体文件处理（音频、图像、视频） - Streamlit 布局 - 文件上传 - Streamlit 静态组件 您将学习如何创建酷炫的数据可视化应用，以及如何使用 Streamlit 构建完整的网络应用。课程结束时，您将能够在几个小时内构建数据科学应用，而不是几天，并将您的机器学习模型转化为网络应用。您还将学会如何使用 Docker、Heroku、Streamlit Share 等工具部署您的 Streamlit 应用。 本课程非常适合以下群体： - 对 Streamlit 感兴趣的初学者 Python 开发者 - 希望更快将其模型投入生产的数据科学家和机器学习工程师 课程还提供 30 天退款保证。如果您对课程不满意，可以无条件退还费用。快来加入我们，一起探索构建数据和机器学习应用的世界！完成课程后，您将具备新的技能，并能在个人数据科学作品集中展示多个应用。
Are you having difficulties trying to build web applications for your data science projects? Do you spend more time trying to create a simple MVP app with your data to show your clients and others? Then let me introduce you to Streamlit - a python framework for building web apps.Welcome to the coolest online resource for learning how to create Data Science Apps and Machine Learning Web Apps using theawesome Streamlit Framework and Python.This course will teach you Streamlit - the python framework that saves you from spending days and weeks creatingdata science and machine learning web applications.In this course, we will cover everything you need to know concerning streamlit such asFundamentals and the Basics of Streamlit ;- Working with Text- Working with Widgets (Buttons, Sliders,- Displaying Data- Displaying Charts and Plots- Working with Media Files (Audio, Images, Video)- Streamlit Layouts- File Uploads- Streamlit Static ComponentsCreating cool data visualization appsHow to Build A Full Web Application with StreamlitBy the end of this exciting course, you will be able toBuild data science apps in hours not daysProductionized your machine learning models into web apps using streamlitBuild some cools and fun data appsDeploy your streamlit apps using Docker, Heroku, Streamlit Share, and moreJoin us as we explore the world of building Data and ML Apps.At the end of the course, you will have built several applications that you can include in your data science portfolio. You will also have a new skill to add to your resume.The course also comes with a 30-day money-back guarantee. Enroll now and if you don't like it you will get your money back no questions asked.Who this course is for:Beginner Python Developers curious about StreamlitData scientists and ML Engineers who want to production sized their Models faster
