Building the Frontend of Python Web Applications with Streamlit
Beginner
31 Lessons
3h 25min
Certificate of Completion
Takeaway Skills
A working knowledge of the training and testing methods for machine learning models in Python
A strong foundation in developing user interfaces (UI) using the Streamlit framework
An understanding of translating various data science libraries, including Scikit-learn, into a front-end UI
A deep familiarity with various web scraping techniques to gather various data and present it in a native web application
Hands-on experience using AssemblyAI, Streamlit, and Heroku to develop, skin, and deploy complete web applications
Course Overview
Python is the premier programming language for data science and machine learning, but its native strengths for back-end development can leave developers scrambling for a front-end solution. Enter Streamlit, a robust open-source library for developing front-end appli...Show More
Course Content
Introduction
1 Lesson
Build a UI for a Model Using Streamlit
6 Lessons
Build a Classification Web App using Streamlit and Sklearn
5 Lessons
Build a Streamlit App to Scrape Github Profiles
3 Lessons
Build a Web App to Transcribe Audio using Python and AssemblyAI
3 Lessons
Build a Web App to Generate and Display a Word Cloud of Trending
6 Lessons
Build a Web App to Download YouTube Videos in 30 Lines of Code
3 Lessons
Deploy Streamlit Apps
2 Lessons
Wrapping Up
2 Lessons
How You'll Learn
You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.
Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.
Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.
Built-in assessments let you test your skills. Completion certificates let you show them off.