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!
Build a Machine Learning Web App with Streamlit and Python
Build a Machine Learning Web App with Streamlit and Python
Instructor: Snehan Kekre
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4.7
(412 reviews)
Intermediate level
Recommended experience
1.5 hours
Learn at your own pace
Hands-on learning
What you'll learn
Build interactive web applications with Streamlit and Python
Train Logistic Regression, Random Forest, and Support Vector Classifiers using scikit-learn
Plot evaluation metrics for binary classification algorithms
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Project Overview and Demo
Turn Simple Python Scripts into Web Apps
Load the Mushrooms Data Set
Creating Training and Test Sets
Plot Evaluation Metrics
Training a Support Vector Classifier
Training a Support Vector Classifier (Part 2)
Train a Logistic Regression Classifier
Training a Random Forest Classifier
Recommended experience
You must understand Logistic Regression, Support Vector Machines, and Random Forest Classifiers and how to use them as scikit-learn estimators
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Instructor
Instructor ratings
4.5 (27 ratings)Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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4.7
412 reviews
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Showing 3 of 412
JA
5
Reviewed on Jul 15, 2020
Great Course from Snehan Kekre.Highly recommended to machine learning professionals and students. Thank you very much!
PA
5
Reviewed on 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.
DS
5
Reviewed on May 20, 2020
The Course was Really Nice.The Reading Material was Good Enough to Understand.All the Videos Explained the Concepts Nicely.I Really Appreciate This Course.
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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.