| 1 - Introduction to the course.mp4 | 54.6 MB | ||
| 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 | ||
| 14 - Text tagging.mp4 | 23 MB | ||
| 15 - Parts of speech POS tagging.mp4 | 20.6 MB | ||
| 16 - Named entity recognition NER.mp4 | 24 MB | ||
| 17 - Practical task.mp4 | 52.3 MB | ||
| 17 - bbc-news.csv | 333.4 KB | ||
| 18 - What is sentiment analysis.mp4 | 37.2 MB | ||
| 19 - Rulebased sentiment analysis.mp4 | 22.8 MB | ||
| 2 - Introduction to NLP.mp4 | 32.6 MB | ||
| 20 - Pretrained transformer models.mp4 | 22.2 MB | ||
| 21 - Practical task.mp4 | 31.7 MB | ||
| 21 - book-reviews-sample.csv | 9.4 KB | ||
| 22 - Numerical representation of text.mp4 | 33.3 MB | ||
| 23 - Bag of Words model.mp4 | 11.5 MB | ||
| 24 - TFIDF.mp4 | 19 MB | ||
| 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 MB | ||
| 3 - NLP in everyday life.mp4 | 18.9 MB | ||
| 30 - LSA in Python.mp4 | 13.4 MB | ||
| 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 MB | ||
| 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 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 | ||
| 4 - Supervised vs Unsupervised NLP.mp4 | 26.3 MB | ||
| 40 - What topics appear in fake news Part 1.mp4 | 25 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 | ||
| 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 | ||
| 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 | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 53 total files | |||
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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