Build ML App (Streamlit Python) + Top Data Science projects

所在平台: Udemy

课程主页: https://www.udemy.com/course/ai-app-streamlit-python/

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课程名称:构建机器学习应用(Streamlit Python)和顶级数据科学项目 课程概述:人工智能(AI)领域正在快速发展,尽管现在仍处于早期阶段。AI的重点主要集中在模型构建和数据分析上,而用户则期望获得简洁的输出和自用的互动应用程序。数据科学和AI社区对此需求并非无动于衷,但由于缺乏JavaScript、HTML/CSS等网页技能,成为了一个障碍。不能完全指责数据科学家,因为数据科学和网络技术是两个独立的专业领域。通常,只有由数据科学和网络技术专家混合组成的大型团队才能构建用户所期待的AI应用程序。 总结来说,最终用户希望有一个简单的网页应用来查看AI算法的结果,而数据科学家则需要一个平台来更轻松快速地构建AI网页应用。Streamlit完美地解决了这两个需求。本课程将演示如何使用Streamlit平台在不超过50行代码的情况下构建医疗健康AI应用(以及其他几个示例)。课程内容包括AI/ML代码以及应用程序的用户界面代码。我们将首先介绍Streamlit的功能,然后讲解如何构建和托管网页应用。 对于新手来说,课程中涵盖了AI、机器学习、深度学习、自然语言处理(NLP)和探索性数据分析(EDA)的基础知识,同时也详细讲解了Python,帮助那些对Python需要复习或首次接触的学员。综合来看,本课程适合有经验的专业人士以及新进入AI领域的人士。让我们一起构建令人惊艳的基于网络的AI应用吧!

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课程详情

AI landscape is evolving fast, though these are still early days for AI. The focus of AI has been more on building models and analyzing data, while users were asking for crisp outputs and self-use interactive applications. It's not that the data science and AI community was not aware of these needs. The lack of web skills like javascript, html/css etc., became a roadblock. We can't blame data scientists too since data science and web technologies are two separate streams of specializations. So, only a large team with a mix of data science and web technology specialists could build an AI app that users were looking for.In summary, end users wanted a simple web app to view the results of AI algorithms and data scientists wanted a platform to build AI web apps easily & faster. Streamlit addressed both these needs perfectly.I am going to demonstrate how to build a healthcare AI app (and few other examples) in less than 50 lines of code using streamlit platform. This covers AI/ML code as well as code for the app including the user interface. We will start with the functionalities of streamlit and then cover how to build and host web applications.For those who are new to AI, Machine Learning, Deep Learning, Natural Language Processing (NLP) and Exploratory Data Analysis (EDA) are included in the program. Python is also covered extensively to assist those who are looking for a refresher on python topics or new to python itself.In all, this program can be pursued by both experienced professionals as well as those who are new to the world of AI.Let's build stunning web based AI apps!

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