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Multiple Linear Regression with scikit-learn
Coursera Project Network

Multiple Linear Regression with scikit-learn

Taught in English

Snehan Kekre

Instructor: Snehan Kekre

8,410 already enrolled

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Guided Project

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

Beginner level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(355 reviews)

What you'll learn

  • Build univariate and multivariate linear regression models in Python using scikit-learn

  • Perform Exploratory Data Analysis (EDA) and data visualization with seaborn

  • Evaluate model fit and accuracy using numerical measures such as R² and RMSE

  • Model interaction effects in regression using basic feature engineering techniques

Details to know

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Guided Project

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

Beginner level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(355 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

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  • Gain hands-on experience solving real-world job tasks
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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. Introduction and Overview

  2. Load the Data

  3. Relationships between Features and Target

  4. Multiple Linear Regression Model

  5. Feature Selection

  6. Model Evaluation Using Train/Test Split and Model Metrics

  7. Interaction Effect (Synergy) in Regression Analysis

Recommended experience

Basic familiarity with programming in Python. An understanding of linear regression.

4 project images

Instructor

Instructor ratings
4.5 (28 ratings)
Snehan Kekre
Coursera Project Network
37 Courses186,671 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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4.5

355 reviews

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    1.69%

M
5

Reviewed on May 28, 2020

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5

Reviewed on Sep 15, 2020

SA
4

Reviewed on Apr 14, 2020

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