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Learner Reviews & Feedback for Build a Machine Learning Web App with Streamlit and Python by Coursera Project Network

344 ratings
57 reviews

About the Course

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....

Top reviews

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.

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51 - 57 of 57 Reviews for Build a Machine Learning Web App with Streamlit and Python

By Rushikesh S

Aug 15, 2020

Excellent Guided Tutorial!!


Jul 5, 2020


By Amit K S

Jun 19, 2020


By M M A

Jul 26, 2020


By 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

By Rizvaan M

Jun 8, 2020

Just not enough