Language Classification with Naive Bayes in Python
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.
Natural Language Processing
由 VM 提供May 3, 2020
Thank you, required more information on naive Bayes with classification.
由 CK 提供Jul 30, 2020
Nice explanation by the instructor throughout the project :)
由 EC 提供Aug 9, 2020
Excellent and well organized course. Instructor explained concepts clearly and encouraged us to attempt the steps before he showed his solution.
由 AK 提供Jul 24, 2020
Excellent course, recommended for a starter in NLP. The teaching pace and topics covered are just right. Kudos!