Coursera Project Network
Language Classification with Naive Bayes in Python
Coursera Project Network

Language Classification with Naive Bayes in Python

Taught in English

Ari Anastassiou

Instructor: Ari Anastassiou

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Guided Project

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

Intermediate level

Recommended experience

60-75 minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(153 reviews)

What you'll learn

  • How to clean and preprocess data for language classification

  • How to train and assess a Multinomial Naive Bayes Model

  • How to use subword units to counteract the effects of class imbalance in language classification

Details to know

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Guided Project

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

Intermediate level

Recommended experience

60-75 minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(153 reviews)

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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. Exploratory data analysis of raw data, as well as some basic visualization

  2. Data cleaning and preprocessing relevant for task

  3. Theory behind and training of a Multinomial Naive Bayes Model

  4. Making adjustments to model to take into account class imbalance using theory behind Naive Bayes

  5. Using subword units to further counteract class imbalance and improve model performance

Recommended experience

Some exposure to machine learning concepts, and intermediate level of Python and mathematical probability theory.

4 project images

Instructor

Instructor ratings
4.0 (7 ratings)
Ari Anastassiou
Coursera Project Network
9 Courses32,813 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

153 reviews

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CK
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Reviewed on Jul 30, 2020

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Reviewed on May 3, 2020

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5

Reviewed on Aug 9, 2020

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