Coursera Project Network
Naive Bayes 101: Resume Selection with Machine Learning
Coursera Project Network

Naive Bayes 101: Resume Selection with Machine Learning

Taught in English

Ryan Ahmed

Instructor: Ryan Ahmed

Included with Coursera Plus

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
4.5

(13 reviews)

What you'll learn

  • Create a pipeline to remove stop-words, punctuation, and perform tokenization

  • Understand the theory and intuition behind Naive Bayes classifiers

  • Train a Naive Bayes Classifier and assess its performance

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
4.5

(13 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. Task 1: Understand the Problem Statement and Business Case

  2. Task 2: Import libraries and datasets

  3. Task 3: Perform exploratory data analysis

  4. Task 4: Perform data cleaning

  5. Task 5: Visualize cleaned datasets

  6. Task 6: Prepare the data by applying count vectorization

  7. Task 7: Understand the intuition behind Naive Bayes Classifier - Part #1

  8. Task 8: Understand the intuition behind Naive Bayes Classifier - Part #2

  9. Task 9: Train a Naive Bayes classifier model

  10. Task 10: Assess trained model performance

Recommended experience

Basic python programming knowledge

5 project images

Instructor

Ryan Ahmed
Coursera Project Network
60 Courses111,104 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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