Build a Machine Learning Web App with Streamlit and Python
Build interactive web applications with Streamlit and Python
Train Logistic Regression, Random Forest, and Support Vector Classifiers using scikit-learn
Plot evaluation metrics for binary classification algorithms
Welcome to this hands-on project on building your first machine learning web app with the Streamlit library in Python. By the end of this project, you are going to be comfortable with using Python and Streamlit to build beautiful and interactive ML web apps with zero web development experience! We are going to load, explore, visualize and interact with data, and generate dashboards in less than 100 lines of Python code! Our web application will allows users to choose what classification algorithm they want to use and let them interactively set hyper-parameter values, all without them knowing to code! Prior experience with writing simple Python scripts and using pandas for data manipulation is recommended. It is required that you have an understanding of Logistic Regression, Support Vector Machines, and Random Forest Classifiers and how to use them in scikit-learn. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
您要培养的技能
- Data Science
- Machine Learning
- Python Programming
- Streamlit
- Scikit-Learn
分步进行学习
在与您的工作区一起在分屏中播放的视频中，您的授课教师将指导您完成每个步骤：
Project Overview and Demo
Turn Simple Python Scripts into Web Apps
Load the Mushrooms Data Set
Creating Training and Test Sets
Plot Evaluation Metrics
Training a Support Vector Classifier
Training a Support Vector Classifier (Part 2)
Train a Logistic Regression Classifier
Training a Random Forest Classifier
指导项目工作原理
您的工作空间就是浏览器中的云桌面，无需下载
在分屏视频中，您的授课教师会为您提供分步指导
审阅
来自BUILD A MACHINE LEARNING WEB APP WITH STREAMLIT AND PYTHON的热门评论
The Course was Really Nice. The Reading Material was Good Enough to Understand.\n\nAll the Videos Explained the Concepts Nicely.\n\nI Really Appreciate This Course.
Use of evaluation metrics and plotting looks good, but if used plotting function (scatter plot of x-test and y-test) can be easy to view and understand the plot
Excellent project.Top class stuff from the instructor to make the learning fun and explain a beautiful piece of technology in a simple and efficient way.
Very good guided course. I learned how to create a Web App without much coding for my ML projects. Thanks for explaining everything in so easy way.
常见问题
常见问题
如果我购买指导项目，会得到什么？
指导项目可在台式设备和移动设备上学习吗？
指导项目的授课教师是谁？
我能在完成指导项目后从中下载作品吗？
我能够退款吗？退款政策是如何规定的？
有助学金吗？
我能旁听指导项目并免费观看视频部分吗？
我需要具备多少经验才能做这个指导项目？
我能直接通过 Web 浏览器来完成此指导项目，而不必安装特殊软件吗？
指导项目的学习体验如何？
还有其他问题吗？请访问 学生帮助中心。
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