Natural Language Processing in Python
Course Features
Duration
3 hours
Delivery Method
Online
Available on
Lifetime Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Advanced
Teaching Type
Self Paced
Video Content
3 hours
Course Description
Course Overview
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Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Before you start learning this NLP in Python, you should be aware of Python programming and machine learning concepts as well
Target Students
If you are an application developer, you will be able to build applications that help to process and analyse NLP data Whereas, if you are a Python developer, you will be able to build Python programs for NLP using NLTK If you are a data scientist, then yo
Course Content
Module 1: Video Course
1. Introduction
2. Corpus
3. Feature Extraction
4. Demo Installation
5. Demo Sentiment Analysis
6. Demo Text Processing
7. Text Analytics
8. Machine learning
9. Natural Language
10. Python Toolkits
11. POSTagging
12. SpamHam
13. ClusteringAndTopics
14. Bagging
15. Deep learning 1: Introduction
16. Deep learning 2: NLP models
17. Demo setup
18. Demo clustering and topic modeling 1
19. Demo clustering and topic modeling 2
20. Demo Sentiment Analysis
21. Demo NLTK
22. Demo sPacy
23. Demo Glove
24. Demo SpamHam
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