Chevron Left
Back to Build a Machine Learning Web App with Streamlit and Python

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

365 ratings

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.

The Reading Material was Good Enough to Understand.

All the Videos Explained the Concepts Nicely.

I 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.

Filter by:

51 - 60 of 60 Reviews for Build a Machine Learning Web App with Streamlit and Python


May 22, 2020

By Meena M

May 20, 2020

By pragadeeswaran s

Jul 24, 2020

By Rushikesh S

Aug 15, 2020


Jul 5, 2020

By Amit K S

Jun 19, 2020

By M M A

Jul 26, 2020

By Morgan S

May 19, 2021


Jul 16, 2020

By Rizvaan M

Jun 8, 2020