Intro To Natural Language Processing In Python For Ai

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[ CourseWikia.com ] Intro To Natural Language Processing In Python For Ai
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - Introduction to the course.mp4 (54.6 MB)
    • 2 - Introduction to NLP.mp4 (32.6 MB)
    • 3 - NLP in everyday life.mp4 (18.9 MB)
    • 4 - Supervised vs Unsupervised NLP.mp4 (26.3 MB)
    2 - Text Preprocessing
    • 10 - Stemming.mp4 (7.1 MB)
    • 11 - Lemmatization.mp4 (10.7 MB)
    • 12 - Ngrams.mp4 (18.2 MB)
    • 13 - Practical task.mp4 (60.6 MB)
    • 13 - tripadvisor-hotel-reviews.csv (65.9 KB)
    • 5 - The importance of data preparation.mp4 (33.7 MB)
    • 6 - Lowercase.mp4 (9.4 MB)
    • 7 - Removing stop words.mp4 (19.8 MB)
    • 8 - Regular expressions.mp4 (40.6 MB)
    • 9 - Tokenization.mp4 (7.8 MB)
    3 - Identifying Parts of Speech and Named Entities
    • 14 - Text tagging.mp4 (23.0 MB)
    • 15 - Parts of speech POS tagging.mp4 (20.6 MB)
    • 16 - Named entity recognition NER.mp4 (24.0 MB)
    • 17 - Practical task.mp4 (52.3 MB)
    • 17 - bbc-news.csv (333.4 KB)
    4 - Sentiment Analysis
    • 18 - What is sentiment analysis.mp4 (37.2 MB)
    • 19 - Rulebased sentiment analysis.mp4 (22.8 MB)
    • 20 - Pretrained transformer models.mp4 (22.2 MB)
    • 21 - Practical task.mp4 (31.7 MB)
    • 21 - book-reviews-sample.csv (9.4 KB)
    5 - Vectorizing Text
    • 22 - Numerical representation of text.mp4 (33.3 MB)
    • 23 - Bag of Words model.mp4 (11.5 MB)
    • 24 - TFIDF.mp4 (19.0 MB)
    6 - Topic Modelling
    • 25 - What is topic modelling.mp4 (56.9 MB)
    • 26 - When to use topic modelling.mp4 (31.3 MB)
    • 27 - Latent Dirichlet Allocation.mp4 (44.7 MB)
    • 28 - LDA in Python.mp4 (30.1 MB)
    • 28 - news-articles.csv (657.3 KB)
    • 29 - Latent Semantic Analysis.mp4 (33.0 MB)
    • 30 - LSA in Python.mp4 (13.4 MB)
    7 - Builing Your Own Text Classifier
    • 31 - Building a custom text classifier.mp4 (18.8 MB)
    • 32 - Logistic regression.mp4 (26.6 MB)
    • 33 - Naive Bayes.mp4 (8.4 MB)
    • 34 - Linear Support Vector Machine.mp4 (11.0 MB)
    8 - Case Study Categorizing Fake News
    • 35 - Introducing the project.mp4 (18.2 MB)
    • 35 - fake-news-data.csv (465.4 KB)
    • 36 - Exploring our data through POS tags.mp4 (38.0 MB)
    • 37 - Extracting named entities.mp4 (19.1 MB)
    • 38 - Processing the text.mp4 (51.3 MB)
    • 39 - Does sentiment differ between news types.mp4 (20.4 MB)
    • 40 - What topics appear in fake news Part 1.mp4 (25.0 MB)
    • 41 - What topics appear in fake news Part 2.mp4 (34.5 MB)
    • 42 - Categorizing fake news with a custom classifier.mp4 (30.8 MB)
    9 - The Future of NLP
    • 43 - What is deep learning.mp4 (52.6 MB)
    • 44 - Deep learning for NLP.mp4 (39.1 MB)
    • 45 - NonEnglish NLP.mp4 (38.5 MB)
    • 46 - Whats next for NLP.mp4 (29.7 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Intro To Natural Language Processing In Python For Ai



https://CourseWikia.com

Published 9/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.28 GB | Duration: 2h 52m

Learn the Technology Behind AI Tools Like ChatGPT: Understanding, Generating, and Classifying Human Language

What you'll learn
Natural Language Processing for AI
Text preprocessing techniques
Text tagging and entity extraction
Sentiment analysis
Uncovering topics in the text
Text classification
Vectorizing text for machine learning

Requirements
Basic Python programming skills



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Intro To Natural Language Processing In Python For Ai
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