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Predict Employee Turnover with scikit-learn
Coursera Project Network

Predict Employee Turnover with scikit-learn

Taught in English

Snehan Kekre

Instructor: Snehan Kekre

8,270 already enrolled

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Guided Project

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

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.4

(254 reviews)

What you'll learn

  • Apply decision trees and random forests with scikit-learn to classification problems

  • Interpret decision trees and random forest models using feature importances

  • Tune model hyperparamters to improve classification accuracy

  • Create interactive, GUI components in Jupyter notebooks using widgets

Details to know

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Guided Project

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

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.4

(254 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. Introduction and Importing Libraries

  2. Exploratory Data Analysis

  3. Encode Categorical Features

  4. Visualize Class Imbalance

  5. Create Training and Test Sets

  6. Build a Decision Tree Classifier with Interactive Controls

  7. Build a Decision Tree Classifier with Interactive Controls (Continued)

  8. Build a Random Forest Classifier with Interactive Controls

  9. Feature Importance and Evaluation Metrics

Recommended experience

Some experience in Python programming and machine learning theory is recommended.

9 project images

Instructor

Instructor ratings
4.6 (18 ratings)
Snehan Kekre
Coursera Project Network
37 Courses186,533 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

Showing 3 of 254

4.4

254 reviews

  • 5 stars

    55.11%

  • 4 stars

    35.03%

  • 3 stars

    8.26%

  • 2 stars

    0.78%

  • 1 star

    0.78%

SJ
5

Reviewed on Apr 27, 2020

LY
5

Reviewed on May 4, 2020

RS
5

Reviewed on May 31, 2020

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