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

Build a Machine Learning Web App with Streamlit and Python

Snehan Kekre

Instructor: Snehan Kekre

13,587 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

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Taught in English
No downloads or installation required

Only available on desktop

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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
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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:

  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 Courses109,382 learners

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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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Learner reviews

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4.7

399 reviews

  • 5 stars

    73.43%

  • 4 stars

    21.80%

  • 3 stars

    3.75%

  • 2 stars

    0.25%

  • 1 star

    0.75%

PA
5

Reviewed on Aug 16, 2020

RB
5

Reviewed on Jun 13, 2020

DA
5

Reviewed on May 21, 2020

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