Coursera Project Network
Build a Machine Learning Web App with Streamlit and Python

Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.

Coursera Project Network

Build a Machine Learning Web App with Streamlit and Python

Snehan Kekre

Instructor: Snehan Kekre

13,542 already enrolled

Included with Coursera Plus

Learn, practice, and apply job-ready skills with expert guidance
4.7

(399 reviews)

Intermediate level

Recommended experience

1.5 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.7

(399 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

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English
No downloads or installation required

Only available on desktop

See how employees at top companies are mastering in-demand skills

Placeholder

Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
Placeholder

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:

  1. Project Overview and Demo

  2. Turn Simple Python Scripts into Web Apps

  3. Load the Mushrooms Data Set

  4. Creating Training and Test Sets

  5. Plot Evaluation Metrics

  6. Training a Support Vector Classifier

  7. Training a Support Vector Classifier (Part 2)

  8. Train a Logistic Regression Classifier

  9. 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

5 project images

Instructor

Instructor ratings
4.5 (27 ratings)
Snehan Kekre
Coursera Project Network
11 Courses108,961 learners

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.

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 399

4.7

399 reviews

  • 5 stars

    73.43%

  • 4 stars

    21.80%

  • 3 stars

    3.75%

  • 2 stars

    0.25%

  • 1 star

    0.75%

DA
5

Reviewed on May 21, 2020

PA
5

Reviewed on Aug 16, 2020

PP
4

Reviewed on Jun 22, 2020

You might also like

New to Machine Learning? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions