Cloud Academy - Introduction to Natural Language Processing with Scikit-learn

[LeeAndro]

Published 07/2022MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 ChDifficulty: Intermediate | Genre: eLearning | Language: English + srt | Duration: 5 Lectures (38m) | Size: 939.8 MB

This course covers the basic techniques you need to know in order to fit a Natural Language Processing Machine Learning pipeline using scikit-learn, a machine learning library for Python.​

Learn about the two main scikit-learn classes for natural language processing: CountVectorizer and TfidfVectorizer
Learn how to create Bag-of-Words (boW) representations and TF-IDF representations
Learn how to create a machine learning pipeline to classify BBC news articles into different categories

This course is intended for anyone who wishes to understand how NLP works and, more particularly, how to implement it using scikit-learn.

To get the most out of this course, you should already have an understanding of the Python programming language.





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