Chevron Left
Вернуться к Build a Machine Learning Web App with Streamlit and Python

Отзывы учащихся о курсе Build a Machine Learning Web App with Streamlit and Python от партнера Coursera Project Network

4.6
звезд
Оценки: 63
Рецензии: 11

О курсе

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....

Лучшие рецензии

DS

May 21, 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.

SH

Jun 03, 2020

A great introductory guided project that fueled my enthusiasm for data science and machine learning with knowledge and practical skills.

Фильтр по:

1–12 из 12 отзывов о курсе Build a Machine Learning Web App with Streamlit and Python

автор: Sachin D A

May 17, 2020

good

автор: Md. S I S

May 19, 2020

very good..learned a new area of visulization. recommended

автор: Dikshant A S

May 21, 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.

автор: Syed F H

Jun 03, 2020

A great introductory guided project that fueled my enthusiasm for data science and machine learning with knowledge and practical skills.

автор: Avirup C

May 22, 2020

Builds a very strong foundation in order to use Streamlit package for building Machine Learning Web Apps

автор: Arka S

May 28, 2020

Great short and concise. Engaging, and the instructor is very good.

автор: johnson

Jun 03, 2020

Great course. Wish there was a lesson on cloud server deployment.

автор: Vinay K D

Jun 06, 2020

Precise, accurate just what I needed! Great course.

автор: shalini k

Jun 04, 2020

NA

автор: John W

Jun 03, 2020

An excellent introduction to using Streamlit. The fact that it uses machine learning as a context for Streamlit is very helpful. As the course notes, this is not an introduction to machine learning. It really does help if you have knowledge of this area ahead of time. Seeing only part of the instructor's screen can be problematic when you are trying to enter your own code. Also, the download function from the folder does not seem to work. More information on this part of the tool would be helpful. I also found the tool lost audio at times and I had to stop and restart the course to get the audio back. Still, an overall great experience and course.

автор: R R S R k

May 22, 2020

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

автор: Meena M

May 20, 2020

Thank u IYXXKYCIHC trios sold sohdtsihcyifouf