dataprofessor/streamlit-for-datascience
The Streamlit for Data Science shows how to build interactive data apps powered by data visualization and machine learning!!
This project teaches data professionals how to build interactive web applications for data analysis and machine learning. You will learn to take raw data, analyze it, visualize results, and embed machine learning models into user-friendly apps. This is ideal for data scientists, analysts, and researchers who want to share their insights and models with non-technical stakeholders.
No commits in the last 6 months.
Use this if you want to transform your data analysis, visualizations, or machine learning models into shareable, interactive web applications without extensive web development experience.
Not ideal if you are looking for an in-depth course on advanced machine learning algorithms or complex web application development frameworks beyond Streamlit.
Stars
71
Forks
32
Language
Python
License
—
Category
Last pushed
Oct 02, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/dataprofessor/streamlit-for-datascience"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
pycaret/pycaret
An open-source, low-code machine learning library in Python
rio-labs/rio
WebApps in pure Python. No JavaScript, HTML and CSS needed
MarcSkovMadsen/awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
jrieke/streamlit-analytics
👀 Track & visualize user interactions with your streamlit app