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

Posted on 16 Jul 04:01 | by LeeAndro | 45 views
Cloud Academy - Introduction to Natural Language Processing with Scikit-learn
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.





DOWNLOAD
1dl.net


uploadgig.com


rapidgator.net

Related News

Building Machine Learning Solutions with scikit-learn (Path) Building Machine Learning Solutions with scikit-learn (Path)
Building Machine Learning Solutions with scikit-learn (Path) Janani Ravi, Chetan Prabhu |...
Linkedin - Machine Learning with  Scikit-Learn Linkedin - Machine Learning with Scikit-Learn
Linkedin - Machine Learning with Scikit-Learn Released: 10/2020 Duration: 43m | .MP4 1280x720, 30...
Python Data Science Fundamentals – Getting Started Python Data Science Fundamentals – Getting Started
Free Download Python Data Science Fundamentals – Getting Started Last updated 8/2023 MP4 | Video:...
Python Data Science Fundamentals: Getting  Started Python Data Science Fundamentals: Getting Started
Python Data Science Fundamentals: Getting Started Last updated 8/2023 MP4 | Video: h264, 1280x720...

System Comment

Information

Error Users of Visitor are not allowed to comment this publication.

Facebook Comment

Member Area
Top News