NLTK Build Document Classifier and Spell Checker with Python DevCourseWeb
Torrent Info
| Category | Other |
| Added | Thursday 29th February 2024 04:00:27 PM (2 years ago) |
| Size | 764.2 MB |
| Peers | 1 Peers (0 Seeders and 1 leechers) update |
| Downloaded | 4 times |
| Uploader | FreeCourseWeb Thank You (0) Report Torrent 00/0 |
| Comments | None |
| Uploader Comments | None |
| Tags | English |
| Seeders | 0 |
| Leechers | 1 |
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NFO
No NFO was added for this torrent.
| Filename | Size |
|---|---|
| Get Bonus Downloads Here.url | 182 bytes |
| 1. Introduction to NLP.mp4 | 12.9 MB |
| 1. Introduction to NLP.srt | 9.2 KB |
| 2. Course Technical Requirements.html | 2.4 KB |
| 2.1 requirements.txt | 21 bytes |
| 3. Installing and Setting Up NLTK.mp4 | 6.0 MB |
| 3. Installing and Setting Up NLTK.srt | 5.4 KB |
| 3.1 requirements.txt | 21 bytes |
| 3.2 setting-up.py | 29 bytes |
| 4. NLTK Accessing Texts.mp4 | 9.0 MB |
| 4. NLTK Accessing Texts.srt | 6.4 KB |
| 4.1 accessing-texts.py | 214 bytes |
| 5. Basic Functions concordance, similar, dispersion_plot, count.mp4 | 22.9 MB |
| 5. Basic Functions concordance, similar, dispersion_plot, count.srt | 16.2 KB |
| 5.1 basic-functions.py | 1.2 KB |
| 6. Summary NLTK Basic Functions.html | 2.7 KB |
| 7. Frequency Distribution with NLTK.mp4 | 16.6 MB |
| 7. Frequency Distribution with NLTK.srt | 12.2 KB |
| 7.1 Frequency-distributions.py | 293 bytes |
| 8. Frequency Distribution on Your Text with NLTK.mp4 | 8.6 MB |
| 8. Frequency Distribution on Your Text with NLTK.srt | 7.4 KB |
| 8.1 personal-frequency-distribution.py | 354 bytes |
| 1. More NLP Tutorials.html | 511 bytes |
| 2. What's Next for You.html | 2.1 KB |
| 1. Do you want to learn a specific NLTK or NLP topic.html | 335 bytes |
| 1. Accessing Corpora.mp4 | 17.9 MB |
| 1. Accessing Corpora.srt | 10.5 KB |
| 1.1 accessing-corpora.py | 1.1 KB |
| 2. Loading Your Own Corpus.mp4 | 12.7 MB |
| 2. Loading Your Own Corpus.srt | 9.9 KB |
| 2.1 loading-your-own-corpus.py | 365 bytes |
| 2.2 shakespeare-taming-of-the-shrew.txt | 121.2 KB |
| 3. Conditional Frequency Distribution.mp4 | 30.7 MB |
| 3. Conditional Frequency Distribution.srt | 18.5 KB |
| 3.1 conditional-frequency-distribution.py | 631 bytes |
| 4. Lexical Resources Vocabulary.mp4 | 25.5 MB |
| 4. Lexical Resources Vocabulary.srt | 17.3 KB |
| 4.1 lexical-resources-vocabulary.py | 474 bytes |
| 5. Terminology.html | 3.5 KB |
| 6. NLP Basic Terminology.html | 149 bytes |
| 1. NLP Pipeline.mp4 | 31.8 MB |
| 1. NLP Pipeline.srt | 8.2 KB |
| 2. Tokenization.mp4 | 33.7 MB |
| 2. Tokenization.srt | 10.5 KB |
| 2.1 shakespeare-taming-of-the-shrew.txt | 121.2 KB |
| 2.2 tokenization.py | 565 bytes |
| 3. What is Token.html | 149 bytes |
| 4. Regular Expressions.mp4 | 26.2 MB |
| 4. Regular Expressions.srt | 15.5 KB |
| 4.1 regular-expressions.py | 487 bytes |
| 5. Applications of Regex.mp4 | 18.3 MB |
| 5. Applications of Regex.srt | 14.9 KB |
| 5.1 applications-of-regex.py | 503 bytes |
| 6. Stemming.mp4 | 13.7 MB |
| 6. Stemming.srt | 12.7 KB |
| 6.1 stemming.py | 461 bytes |
| 7. Lemmatization.mp4 | 25.8 MB |
| 7. Lemmatization.srt | 13.1 KB |
| 7.1 lemmatization.py | 598 bytes |
| 8. Regex for Tokenization.mp4 | 20.7 MB |
| 8. Regex for Tokenization.srt | 13.8 KB |
| 8.1 regex-for-tokenization.py | 578 bytes |
| 1. Tagger.mp4 | 18.6 MB |
| 1. Tagger.srt | 13.4 KB |
| 1.1 tagger.py | 504 bytes |
| 2. Tagged Corpus.mp4 | 20.8 MB |
| 2. Tagged Corpus.srt | 12.8 KB |
| 2.1 tagged-corpus.py | 604 bytes |
| 3. The Default Tagger.mp4 | 24.4 MB |
| 3. The Default Tagger.srt | 14.3 KB |
| 3.1 default-tagger.py | 434 bytes |
| 4. Regexp Tagger.mp4 | 24.2 MB |
| 4. Regexp Tagger.srt | 14.5 KB |
| 4.1 regex-tagger.py | 330 bytes |
| 5. Unigram Tagger.mp4 | 16.8 MB |
| 5. Unigram Tagger.srt | 13.9 KB |
| 5.1 unigram-tagging.py | 704 bytes |
| 6. Ngram Tagger.mp4 | 19.5 MB |
| 6. Ngram Tagger.srt | 16.0 KB |
| 6.1 n-gram tagging.py | 384 bytes |
| 7. POS Tagging.html | 149 bytes |
| 1. Machine Learning Overview.mp4 | 8.8 MB |
| 1. Machine Learning Overview.srt | 8.0 KB |
| 2. Logic Of Naive Bayes.mp4 | 39.8 MB |
| 2. Logic Of Naive Bayes.srt | 30.9 KB |
| 3. Project #1 Gender Prediction Application - Part 1.mp4 | 43.4 MB |
| 3. Project #1 Gender Prediction Application - Part 1.srt | 34.5 KB |
| 3.1 gender-application-part1.py | 1.8 KB |
| 4. Project #1 Gender Prediction Application - Part 2.mp4 | 27.2 MB |
| 4. Project #1 Gender Prediction Application - Part 2.srt | 17.3 KB |
| 4.1 gender-application-part2.py | 1.7 KB |
| 5. Project #1 Gender Prediction Application - Part 3.mp4 | 36.5 MB |
| 5. Project #1 Gender Prediction Application - Part 3.srt | 20.7 KB |
| 5.1 gender-application-part3.py | 2.6 KB |
| 6. Project #2 Document Classifier Application.mp4 | 65.1 MB |
| 6. Project #2 Document Classifier Application.srt | 29.5 KB |
| 6.1 document-classifier.py | 992 bytes |
| 1. Information Extraction Architecture.mp4 | 5.8 MB |
| 1. Information Extraction Architecture.srt | 4.5 KB |
| 2. Chunking Overiew.mp4 | 5.6 MB |
| 2. Chunking Overiew.srt | 4.8 KB |
| 3. Chunking in Coding.mp4 | 6.0 MB |
| 3. Chunking in Coding.srt | 5.4 KB |
| 3.1 noun-phrase-chunking.py | 278 bytes |
| 4. Exercise Named Entity Recognition.html | 1.2 KB |
| 5. Chinking.mp4 | 14.6 MB |
| 5. Chinking.srt | 13.9 KB |
| 5.1 chinking.py | 429 bytes |
| 6. Stanford NLP API.mp4 | 10.0 MB |
| 6. Stanford NLP API.srt | 9.3 KB |
| 7. Chunking and Chinking.html | 149 bytes |
| 1. Conclusion.mp4 | 3.4 MB |
| 1. Conclusion.srt | 2.9 KB |
| 1. Edit Distance Example.mp4 | 14.8 MB |
| 1. Edit Distance Example.srt | 2.1 KB |
| 2. Edit Distance - Spelling Checker.mp4 | 9.1 MB |
| 2. Edit Distance - Spelling Checker.srt | 1.4 KB |
| 3. Appendix List of Correct Words for Spelling Checkers.html | 1003 bytes |
| 4. Edit Distance - Plagiarism Checker Translation Memory.mp4 | 16.2 MB |
| 4. Edit Distance - Plagiarism Checker Translation Memory.srt | 1.9 KB |
| Bonus Resources.txt | 386 bytes |
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