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 AS 提供2020年5月27日
Great short and concise. Engaging, and the instructor is very good.
由 SB 提供2020年10月17日
this was an awesome journey with this course. I practiced well and generated new ideas to implement some business ideas. Thanks
由 JA 提供2020年7月15日
Great Course from Snehan Kekre.
Highly recommended to machine learning professionals and students.
Thank you very much!
由 SH 提供2020年6月2日
A great introductory guided project that fueled my enthusiasm for data science and machine learning with knowledge and practical skills.