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学生对 Coursera Project Network 提供的 Build a Machine Learning Web App with Streamlit and Python 的评价和反馈

348 个评分
59 条评论


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....


May 20, 2020

The Course was Really Nice.\n\nThe Reading Material was Good Enough to Understand.\n\nAll the Videos Explained the Concepts Nicely.\n\nI Really Appreciate This Course.

Jun 13, 2020

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.


51 - Build a Machine Learning Web App with Streamlit and Python 的 59 个评论(共 59 个)

创建者 Meena M

May 20, 2020

Thank u IYXXKYCIHC trios sold sohdtsihcyifouf

创建者 pragadeeswaran s

Jul 24, 2020

really good course ..just go with it

创建者 Rushikesh S

Aug 15, 2020

Excellent Guided Tutorial!!


Jul 5, 2020


创建者 Amit K S

Jun 19, 2020


创建者 M M A

Jul 26, 2020


创建者 Morgan S

May 19, 2021

It was helpful to learn the capabilities of Streamlit. However, the exercise is too simple and it does not test one's retention of the subject.


Jul 16, 2020

Lot's of errors and cloud desktop was too slow

创建者 Rizvaan M

Jun 8, 2020

Just not enough