Intro To Natural Language Processing In Python For Ai --> [ CourseWikia ]
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Intro To Natural Language Processing In Python For Ai --> [ CourseWikia ]
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Torrent File Content (53 files)
[ CourseWikia.com ] Intro To Natural Language Processing In Python For Ai
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Get Bonus Downloads Here.url -
181 bytes
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1 - Introduction/1 - Introduction to the course.mp4 -
1 - Introduction/1 - Introduction to the course.mp4 -
54.58 MB
1 - Introduction/2 - Introduction to NLP.mp4 -
32.63 MB
1 - Introduction/3 - NLP in everyday life.mp4 -
18.9 MB
1 - Introduction/4 - Supervised vs Unsupervised NLP.mp4 -
26.28 MB
2 - Text Preprocessing/10 - Stemming.mp4 -
7.14 MB
2 - Text Preprocessing/11 - Lemmatization.mp4 -
10.72 MB
2 - Text Preprocessing/12 - Ngrams.mp4 -
18.17 MB
2 - Text Preprocessing/13 - Practical task.mp4 -
60.59 MB
2 - Text Preprocessing/13 - tripadvisor-hotel-reviews.csv -
65.92 KB
2 - Text Preprocessing/5 - The importance of data preparation.mp4 -
33.75 MB
2 - Text Preprocessing/6 - Lowercase.mp4 -
9.37 MB
2 - Text Preprocessing/7 - Removing stop words.mp4 -
19.79 MB
2 - Text Preprocessing/8 - Regular expressions.mp4 -
40.65 MB
2 - Text Preprocessing/9 - Tokenization.mp4 -
7.81 MB
3 - Identifying Parts of Speech and Named Entities/14 - Text tagging.mp4 -
22.97 MB
3 - Identifying Parts of Speech and Named Entities/15 - Parts of speech POS tagging.mp4 -
20.59 MB
3 - Identifying Parts of Speech and Named Entities/16 - Named entity recognition NER.mp4 -
24.04 MB
3 - Identifying Parts of Speech and Named Entities/17 - Practical task.mp4 -
52.26 MB
3 - Identifying Parts of Speech and Named Entities/17 - bbc-news.csv -
333.43 KB
4 - Sentiment Analysis/18 - What is sentiment analysis.mp4 -
37.23 MB
4 - Sentiment Analysis/19 - Rulebased sentiment analysis.mp4 -
22.79 MB
4 - Sentiment Analysis/20 - Pretrained transformer models.mp4 -
22.22 MB
4 - Sentiment Analysis/21 - Practical task.mp4 -
31.73 MB
4 - Sentiment Analysis/21 - book-reviews-sample.csv -
9.43 KB
5 - Vectorizing Text/22 - Numerical representation of text.mp4 -
33.34 MB
5 - Vectorizing Text/23 - Bag of Words model.mp4 -
11.52 MB
5 - Vectorizing Text/24 - TFIDF.mp4 -
19.04 MB
6 - Topic Modelling/25 - What is topic modelling.mp4 -
56.89 MB
6 - Topic Modelling/26 - When to use topic modelling.mp4 -
31.28 MB
6 - Topic Modelling/27 - Latent Dirichlet Allocation.mp4 -
44.73 MB
6 - Topic Modelling/28 - LDA in Python.mp4 -
30.05 MB
6 - Topic Modelling/28 - news-articles.csv -
657.33 KB
6 - Topic Modelling/29 - Latent Semantic Analysis.mp4 -
32.96 MB
6 - Topic Modelling/30 - LSA in Python.mp4 -
13.37 MB
7 - Builing Your Own Text Classifier/31 - Building a custom text classifier.mp4 -
18.77 MB
7 - Builing Your Own Text Classifier/32 - Logistic regression.mp4 -
26.59 MB
7 - Builing Your Own Text Classifier/33 - Naive Bayes.mp4 -
8.39 MB
7 - Builing Your Own Text Classifier/34 - Linear Support Vector Machine.mp4 -
10.98 MB
8 - Case Study Categorizing Fake News/35 - Introducing the project.mp4 -
18.16 MB
8 - Case Study Categorizing Fake News/35 - fake-news-data.csv -
465.36 KB
8 - Case Study Categorizing Fake News/36 - Exploring our data through POS tags.mp4 -
37.99 MB
8 - Case Study Categorizing Fake News/37 - Extracting named entities.mp4 -
19.06 MB
8 - Case Study Categorizing Fake News/38 - Processing the text.mp4 -
51.29 MB
8 - Case Study Categorizing Fake News/39 - Does sentiment differ between news types.mp4 -
20.36 MB
8 - Case Study Categorizing Fake News/40 - What topics appear in fake news Part 1.mp4 -
25.03 MB
8 - Case Study Categorizing Fake News/41 - What topics appear in fake news Part 2.mp4 -
34.46 MB
8 - Case Study Categorizing Fake News/42 - Categorizing fake news with a custom classifier.mp4 -
30.81 MB
9 - The Future of NLP/43 - What is deep learning.mp4 -
52.62 MB
9 - The Future of NLP/44 - Deep learning for NLP.mp4 -
39.09 MB
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