Have you ever wanted to build a web app for your data science project? But perhaps did not because of the extensive time needed to code the web app or intimidated by Django and flask? In this video, I will show you how to build an (intermediate level of difficulty) machine learning powered data science web app in Python using the streamlit library in a little over 100 lines of code. Particularly, we will be building a Penguins species classification web app using the Palmer Penguins dataset (4 quantitative variables and 3 qualitative variables; 1 of the qualitative variable will be used as the target variable for classification). The post Streamlit Tutorial Part 3: How to Build a Penguin Classification Web App in Python appeared first on Data Science PR. Via https://datasciencepr.com/streamlit-tutorial-part-3-how-to-build-a-penguin-classification-web-app-in-python/?utm_source=rss&utm_medium=rss&utm_campaign=streamlit-tutorial-part-3-how-to-build-a-penguin-classification-web-app-in-python |
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