Coursera Project Network
Scikit-Learn For Machine Learning Classification Problems
Coursera Project Network

Scikit-Learn For Machine Learning Classification Problems

Ryan Ahmed

Instructor: Ryan Ahmed

Included with Coursera Plus

Learn, practice, and apply job-ready skills with expert guidance
Beginner level
No prior experience required
2 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
Beginner level
No prior experience required
2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Evaluate several trained classification models performance using various Key Performance Indicators (KPIs)

  • Understand the theory and intuition behind XG-Boost classifier model

  • Train machine learning classifier models using Scikit-Learn library

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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

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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. Understand the Problem Statement

  2. Import Libraries and Datasets

  3. Practice Opportunity #1 [Optional]

  4. Perform Exploratory Data Analysis

  5. Create Training and Testing Datasets

  6. XG-Boost Algorithm Overview

  7. Train an XG-Boost Algorithm Using Scikit-Learn

  8. Evaluate Trained Model Performance

  9. Practice Opportunity #2 [Optional]

  10. Final Capstone Project

10 project images

Instructor

Ryan Ahmed
Coursera Project Network
38 Courses86,562 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.

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