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!
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- Level Professional
- المدة 3 ساعات hours
- الطبع بواسطة Coursera Project Network
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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.الوحدات
Build a Machine Learning Web App with Streamlit and Python
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Assignment
- Graded Quiz: Test your Project Understanding
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Labs
- Build a Machine Learning Web App with Streamlit and Python
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- Project-based Course Overview
Auto Summary
Dive into the exciting world of machine learning and web development with the hands-on project "Build a Machine Learning Web App with Streamlit and Python." This course expertly guides you through creating your first interactive ML web app using the Streamlit library in Python, even if you have no prior web development experience. Designed for professionals in the data science and AI domain, this course focuses on practical application, enabling you to load, explore, visualize, and interact with data. You'll learn to generate stunning dashboards in under 100 lines of code. The web app you create will empower users to select classification algorithms and adjust hyper-parameters interactively, without needing to write any code. Led by Coursera, this project spans approximately 120 minutes and is ideal for learners who have basic Python scripting skills and experience with pandas for data manipulation. It is essential to have knowledge of Logistic Regression, Support Vector Machines, and Random Forest Classifiers, including their implementation in scikit-learn. This engaging course is currently best suited for learners in North America, with efforts underway to extend the same experience to other regions. Subscribe to the Starter plan to begin your journey and elevate your machine learning and web development skills to the next level.
Snehan Kekre