Streamlit (Web Application in Python) How to Build a Machine Learning Model Performance Calculator App
How to Build a Machine Learning Model Performance Calculator App Transcript and Lesson Notes
Do you have prediction results from machine learning models lying around? Too lazy to spin up a code to calculate the performance metrics? No worries we got you covered. In this video, you will learn how to build a machi
Quick Summary
Do you have prediction results from machine learning models lying around? Too lazy to spin up a code to calculate the performance metrics? No worries we got you covered. In this video, you will learn how to build a machi
Key Takeaways
- Review the core idea: Do you have prediction results from machine learning models lying around? Too lazy to spin up a code to calculate the performance metrics? No worries we got you covered. In this video, you will learn how to build a machi
- Understand how data science fits into How to Build a Machine Learning Model Performance Calculator App.
- Understand how machine learning fits into How to Build a Machine Learning Model Performance Calculator App.
- Understand how web app fits into How to Build a Machine Learning Model Performance Calculator App.
- Understand how streamlit fits into How to Build a Machine Learning Model Performance Calculator App.
Key Concepts
Full Transcript
Do you have prediction results from machine learning models lying around? Too lazy to spin up a code to calculate the performance metrics? No worries we got you covered. In this video, you will learn how to build a machine learning model performance calculator app. Particularly, you feed the app with the actual and predicted values and the app produces the performance metrics. 🌟 Join as a Member to support this Channel: https://www.youtube.com/channel/UCV8e2g4IWQqK71bbzGDEI4Q/join 🌟 Download Kite for FREE https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=dataprofessor&utm_content=description-only ⭕ Links for this video: - Demo app https://share.streamlit.io/dataprofessor/model_performance_app/main/app.py - Code https://github.com/dataprofessor/model_performance_app 🌟 Subscribe to this YouTube channel https://www.youtube.com/dataprofessor?sub_confirmation=1 🌟 Join the Newsletter of Data Professor http://newsletter.dataprofessor.org 🌟 Buy me a coffee https://www.buymeacoffee.com/dataprofessor ⭕ Playlist: Check out our other videos in the following playlists. ✅ Data Science 101: https://bit.ly/dataprofessor-ds101 ✅ Data Science YouTuber Podcast: https://bit.ly/datascience-youtuber-podcast ✅ Data Science Virtual Internship: https://bit.ly/dataprofessor-internship ✅ Bioinformatics: http://bit.ly/dataprofessor-bioinformatics ✅ Data Science Toolbox: https://bit.ly/dataprofessor-datasciencetoolbox ✅ Streamlit (Web App in Python): https://bit.ly/dataprofessor-streamlit ✅ Shiny (Web App in R): https://bit.ly/dataprofessor-shiny ✅ Google Colab Tips and Tricks: https://bit.ly/dataprofessor-google-colab ✅ Pandas Tips and Tricks: https://bit.ly/dataprofessor-pandas ✅ Python Data Science Project: https://bit.ly/dataprofessor-python-ds ✅ R Data Science Project: https://bit.ly/dataprofessor-r-ds ✅ Weka (No Code Machine Learning): http://bit.ly/dp-weka ⭕ Recommended Books: 🌟https://kit.co/dataprofessor ✅ Hands-On Machine Learning with Scikit-Learn : https://amzn.to/3hTKuTt ✅ Data Science from Scratch : https://amzn.to/3fO0JiZ ✅ Python Data Science Handbook : https://amzn.to/37Tvf8n ✅ R for Data Science : https://amzn.to/2YCPcgW ✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: https://amzn.to/33jTdcv ✅ AI Superpowers: China, Silicon Valley, and the New World Order: https://amzn.to/3nghGrd ⭕ Stock photos, graphics and videos used on this channel: ✅ https://1.envato.market/c/2346717/628379/4662 ⭕ Follow us: ✅ Medium: http://medium.dataprofessor.org/ ✅ FaceBook: http://facebook.com/dataprofessor/ ✅ Website: http://dataprofessor.org/ (Under construction) ✅ Twitter: https://twitter.com/thedataprof/ ✅ Instagram: https://www.instagram.com/data.professor/ ✅ LinkedIn: https://www.linkedin.com/in/chanin-nantasenamat/ ✅ GitHub 1: https://github.com/dataprofessor/ ✅ GitHub 2: https://github.com/chaninlab/ ⭕ Disclaimer: Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents. #machinelearning #python #webapp #dataapp #66daysofdata #datascience #dataprofessor
Lesson FAQs
What is How to Build a Machine Learning Model Performance Calculator App about?
Do you have prediction results from machine learning models lying around? Too lazy to spin up a code to calculate the performance metrics? No worries we got you covered. In this video, you will learn how to build a machi
What key concepts are covered in this lesson?
The lesson covers data science, machine learning, web app, streamlit, build web app with python.
What should I learn before How to Build a Machine Learning Model Performance Calculator App?
Review the previous lessons in Streamlit (Web Application in Python), then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: data science, machine learning, web app, streamlit.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
Is this lesson free?
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