Text Classification with Python: Build and Compare Three Text Classifiers

Описание к видео Text Classification with Python: Build and Compare Three Text Classifiers

Text Classification involves assigning a label to a piece of text based on its content or context. In this tutorial we learn how to classify texts by building three text classifiers: LinearSVC, ComplementNB, and MultinomialNB,
We will use Scikit-learn, and Kaggle and the datasets available there.
-----------------------
Datacamp: The best online resource to learn Python, Web Scraping, Data analysis, and Data Science (Affiliate link)
https://datacamp.pxf.io/pythonology
------------------------
Text Classification Dataset
https://www.kaggle.com/datasets/team-...
------------------------
Check my website for Python projects:
https://pythonology.eu

Комментарии

Информация по комментариям в разработке

Похожие видео