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 more
Learn, practice, and apply job-ready skills with expert guidance
4.8

(10 reviews)

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
4.8

(10 reviews)

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

Shareable certificate

Add to your LinkedIn profile

Taught in English
No downloads or installation required

Only available on desktop

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

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 Courses92,121 learners

Offered by

Coursera Project Network

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

4.8

10 reviews

  • 5 stars

    80%

  • 4 stars

    20%

  • 3 stars

    0%

  • 2 stars

    0%

  • 1 star

    0%

Showing 3 of 10

PK
4

Reviewed on Nov 11, 2022

View more reviews

You might also like

Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

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

Explore degrees

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

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

More questions