Build a Machine Learning Web App with Streamlit and Python
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.
由 UO 提供Sep 21, 2020
An amazing guided project, very well-taught and very useful.
由 KO 提供Oct 11, 2020
Sk / learning , pandas introduction being introduced with python web application for building a machine.
由 SH 提供Jun 2, 2020
A great introductory guided project that fueled my enthusiasm for data science and machine learning with knowledge and practical skills.
由 PA 提供Aug 16, 2020
Very good guided course. I learned how to create a Web App without much coding for my ML projects. Thanks for explaining everything in so easy way.