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XG-Boost 101: Used Cars Price Prediction
Coursera Project Network

XG-Boost 101: Used Cars Price Prediction

Taught in English

Ryan Ahmed

Instructor: Ryan Ahmed

1,782 already enrolled

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Guided Project

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

Intermediate level
Some related experience required
2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.7

(44 reviews)

What you'll learn

  • Understand the theory and intuition behind XG-Boost Algorithm.

  • Build, train and evaluate XG-Boost, Random Forest, Decision Tree, and Multiple Linear Regression Models Using Scikit-Learn.

  • Assess the performance of trained regression models using various Key performance indicators.

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Guided Project

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

Intermediate level
Some related experience required
2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.7

(44 reviews)

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 and business case

  2. Import libraries/datasets and perform Exploratory Data Analysis

  3. Perform Data Visualization - Part #1

  4. Perform Data Visualization - Part #2

  5. Prepare the data before model training

  6. Train and Evaluate a Multiple Linear Regression model

  7. Train and Evaluate a Decision Tree and a Random Forest models

  8. Understand the Theory and Intuition Behind XG-Boost Algorithm

  9. Train and Evaluate a XG-Boost model

  10. Compare models and calculate Regression KPIs

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Instructor

Instructor ratings
4.4 (5 ratings)
Ryan Ahmed
Coursera Project Network
60 Courses110,950 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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4.7

44 reviews

  • 5 stars

    71.11%

  • 4 stars

    24.44%

  • 3 stars

    2.22%

  • 2 stars

    2.22%

  • 1 star

    0%

MI
5

Reviewed on Mar 17, 2021

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