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 RB 提供2020年6月13日
Excellent project.Top class stuff from the instructor to make the learning fun and explain a beautiful piece of technology in a simple and efficient way.
由 UO 提供2020年9月21日
An amazing guided project, very well-taught and very useful.
由 PP 提供2020年6月22日
Use of evaluation metrics and plotting looks good, but if used plotting function (scatter plot of x-test and y-test) can be easy to view and understand the plot
由 KO 提供2020年10月11日
Sk / learning , pandas introduction being introduced with python web application for building a machine.