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

4.7
stars
399 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

DS

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.

RB

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 - 68 of 68 Reviews for Build a Machine Learning Web App with Streamlit and Python

By shalini k

•

Jun 4, 2020

NA

By Munna K

•

Sep 26, 2020

Very...wonderful and best way to build an app with python having an immersive design of web page!!..This instructor has done a great job in explaining the basic elements required in the project.Overall,A new and cherished experience to me in this project!!...Happy Learning!!

By Parth P

•

Jun 23, 2020

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

By Никита Г

•

Apr 22, 2023

The downside is that the course focuses more on specific frameworks rather than on the general principles of machine learning.

By RAVI K R

•

May 22, 2020

I am not connected to rhyme site always tells me your session completed

By Meena M

•

May 20, 2020

Thank u IYXXKYCIHC trios sold sohdtsihcyifouf

By Pragadeeswaran S

•

Jul 24, 2020

really good course ..just go with it

By Rushikesh S

•

Aug 15, 2020

Excellent Guided Tutorial!!

By GUGULOTHU P

•

Dec 28, 2022

nice

By MEENA K

•

Jul 5, 2020

Good

By Amit K S

•

Jun 19, 2020

good

By M M A

•

Jul 26, 2020

Ok

By saymoon l

•

May 2, 2024

Some of the techniques or instruction are not applicable - not sure if i am the only one facing the same problem? No matter how, I found another way to handle that error but it takes me for quite some time.

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.

By Peter F

•

Feb 19, 2024

Good introduction to the subject matter, but hopelessly outdated tech stack. Could do a lot better.

By GAUTHAM N P

•

Jul 16, 2020

Lot's of errors and cloud desktop was too slow

By Rizvaan M

•

Jun 8, 2020

Just not enough

By Mounika c

•

Sep 3, 2024

okoko