Build a Machine Learning Web App with Streamlit and Python

Welcome to this hands-on project on Build your first Machine Learning Web app with the Streamlit library in Python! My name is Snehan and I will be your instructor for this project. By the end of this project you are going to be comfortable with using Python and Streamlit to build beautiful and interactive web apps for your machine learning projects, all without requiring any web development experience! We are going to load, explore, visualize and interact with data, and build a Machine Learning Web App in less than 120 lines of Python code!

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Build a Machine Learning Web App with Streamlit and Python

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Task List


We will cover the following tasks in 1 hour and 21 minutes:


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

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Preview the instructions that you will follow along in a hands-on session in your browser.

Snehan Kekre

About the Host (Snehan Kekre)


Snehan Kekre is a Machine Learning and Data Science Instructor at Coursera. He studied Computer Science and Artificial Intelligence at Minerva Schools at KGI, based in San Francisco. His interests include AI safety, EdTech, and instructional design. He recognizes that building a deep, technical understanding of machine learning and AI among students and engineers is necessary in order to grow the AI safety community. This passion drives him to design hands-on, project-based machine learning courses on Rhyme.



Frequently Asked Questions


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