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所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-a-data-science-web-app-using-streamlit/
课程评论：没有评论
课程名称：使用Streamlit构建数据科学网络应用 课程概述：本课程旨在教你如何构建一个专注于数据科学或机器学习项目的网络应用。你将使用Streamlit框架，这是一种简便构建网络应用的工具。课程采用实践导向，首先我们将编写代码分析一个数据集，然后训练一个模型，最后利用该模型进行预测。接下来，我们将调整这些代码，将其转换为使用Streamlit构建的网络应用。通过这个过程，你将学习如何轻松地基于Python代码创建网络应用。 构建的网络应用将显示文本、数据框和图表。你甚至可以为你的应用添加交互功能，允许用户上传自己的文件和输入数字。这些只是基本示例，但凭借这些知识，你可以在应用中加入更多自定义功能。此外，你还将学习一种监督学习算法——线性回归，并使用它对我们的数据集进行预测。 你不需要具备数据科学或网页开发的背景，因为本课程将教授你理解项目所需的所有知识。快来开始构建专注于数据科学或机器学习项目的网络应用吧，这是一门非常实用的课程！
In this course, you are going to learn how you can build a web app focused on Data Science or Machine Learning projects. To do this, you will use the framework Streamlit, a tool that allows you to easily build a web app.This is a practical course, in which we will build first a data analysis code to analyze a dataset, then train a model, and finally use the model to do some predictions. Then, we will adapt this code to convert it into a web app using Streamlit. Adapting this code will allow you to learn how you can easily create a web app based on python code.The web app will display text, data frames, and plots. You can even add interactivity to your app, allowing your user to upload its own file and input number. These are only basic examples, but with this knowledge, you can add whatever you want to your app!You will also learn about a supervised learning algorithm, this is Linear Regression, which we will use to make predictions on our dataset.You do not need to know Data Science or Web Development, because in this course you will learn the necessary to understand the project.So, get started building web apps focused on data science or machine learning projects with this very practical course.
