Language Classification with Naive Bayes in Python
150 ratings
Offered By
6,232 already enrolled
In this Guided Project, you will:
60-75 minutes
Intermediate
No download needed
Split-screen video
English
Desktop only
In this 1-hour long project, you will learn how to clean and preprocess data for language classification. You will learn some theory behind Naive Bayes Modeling, and the impact that class imbalance of training data has on classification performance. You will learn how to use subword units to further mitigate the negative effects of class imbalance, and build an even better model.
Skills you will develop
Statistics
Machine Learning
Natural Language Processing
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:
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In a split-screen video, your instructor guides you step-by-step
Instructor
Instructor rating
Reviews
4.5
- 5 stars68.66%
- 4 stars20.66%
- 3 stars7.33%
- 2 stars2%
- 1 star1.33%
TOP REVIEWS FROM LANGUAGE CLASSIFICATION WITH NAIVE BAYES IN PYTHON
by AK
Jul 24, 2020Excellent course, recommended for a starter in NLP. The teaching pace and topics covered are just right. Kudos!
by CK
Jul 30, 2020Nice explanation by the instructor throughout the project :)
by EC
Aug 9, 2020Excellent and well organized course. Instructor explained concepts clearly and encouraged us to attempt the steps before he showed his solution.
by VM
May 3, 2020Thank you, required more information on naive Bayes with classification.
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