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Perform Sentiment Analysis with scikit-learn
Coursera Project Network

Perform Sentiment Analysis with scikit-learn

Taught in English

Snehan Kekre

Instructor: Snehan Kekre

11,101 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
4.5

(409 reviews)

What you'll learn

  • Build and employ a logistic regression classifier using scikit-learn

  • Clean and pre-process text data

  • Perform feature extraction with The Natural Language Toolkit (NLTK)

  • Tune model hyperparameters and evaluate model accuracy

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

(409 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 the Data

  2. Transforming Documents into Feature Vectors

  3. Term Frequency-Inverse Document Frequency

  4. Calculate TF-IDF of the Term 'Is'

  5. Data Preparation

  6. Tokenization of Documents

  7. Document Classification Using Logistic Regression

  8. Load Saved Model from Disk

  9. Model Accuracy

Recommended experience

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

6 project images

Instructor

Instructor ratings
4.6 (37 ratings)
Snehan Kekre
Coursera Project Network
38 Courses185,525 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 409

4.5

409 reviews

  • 5 stars

    63.56%

  • 4 stars

    25.42%

  • 3 stars

    8.31%

  • 2 stars

    1.46%

  • 1 star

    1.22%

AY
5

Reviewed on May 19, 2020

BG
4

Reviewed on May 26, 2020

MS
5

Reviewed on Apr 21, 2020

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