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TORRENT DETAILS

[FreeCourseSite.com] Udemy - U&P AI - Basics Of NLP Using NLTK

TORRENT SUMMARY

	Status:	This torrent has NOT been verified.
Category:	Other
Infohash	192b412ded92c14aacefd6c9cdc5892d50da8749
Size:	150.7 MB in 57 files
Release Date(s):	Torrent Release: 02-10-2018 by user
Swarm:	0 Seeds & 2 Peers
Vote:	No votes yet.

DESCRIPTION

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FILE LIST

Filename		Size
	1. Introduction and Installation/1. Introduction to NLP.mp4	4.2 MB
	1. Introduction and Installation/1. Introduction to NLP.vtt	2.8 KB
	1. Introduction and Installation/1.1 1 - Introduction.pdf.pdf	91.9 KB
	1. Introduction and Installation/2. By The End Of This Course.mp4	2.8 MB
	1. Introduction and Installation/2. By The End Of This Course.vtt	1.3 KB
	1. Introduction and Installation/3. Installation.mp4	7.5 MB
	1. Introduction and Installation/3. Installation.vtt	2.6 KB
	1. Introduction and Installation/4. Tips.mp4	1.1 MB
	1. Introduction and Installation/4. Tips.vtt	284 B
	10. Summary/1. Summary.mp4	3.6 MB
	10. Summary/1. Summary.vtt	1.1 KB
	2. Tokenization/1. U - Tokenization.mp4	2.5 MB
	2. Tokenization/1. U - Tokenization.vtt	1019 B
	2. Tokenization/2. P - Tokenization.mp4	5 MB
	2. Tokenization/2. P - Tokenization.vtt	1.5 KB
	2. Tokenization/2.1 tokenizer.py.py	515 B
	3. Converting Words to their Base Forms/1. U - Stemming.mp4	3.6 MB
	3. Converting Words to their Base Forms/1. U - Stemming.vtt	1.7 KB
	3. Converting Words to their Base Forms/2. P - Stemming.mp4	10.3 MB
	3. Converting Words to their Base Forms/2. P - Stemming.vtt	2.9 KB
	3. Converting Words to their Base Forms/2.1 stemmer.py.py	858 B
	3. Converting Words to their Base Forms/3. U - Lemmatization.mp4	2.7 MB
	3. Converting Words to their Base Forms/3. U - Lemmatization.vtt	1.5 KB
	3. Converting Words to their Base Forms/4. P - Lemmatization.mp4	6.7 MB
	3. Converting Words to their Base Forms/4. P - Lemmatization.vtt	2 KB
	3. Converting Words to their Base Forms/4.1 lemmatizer.py.py	723 B
	4. Chunks/1. U - Chunks.mp4	3.6 MB
	4. Chunks/1. U - Chunks.vtt	1.6 KB
	4. Chunks/2. P - Chunks.mp4	10.1 MB
	4. Chunks/2. P - Chunks.vtt	3.1 KB
	4. Chunks/2.1 text_chunker.py.py	876 B
	5. Bag Of Words/1. U - Bag Of Words.mp4	6.7 MB
	5. Bag Of Words/1. U - Bag Of Words.vtt	3.6 KB
	5. Bag Of Words/2. P - Bag Of Words.mp4	9.1 MB
	5. Bag Of Words/2. P - Bag Of Words.vtt	2.9 KB
	5. Bag Of Words/2.1 bag_of_words.py.py	1.3 KB
	6. Category Predictor/1. U - Category Predictor.mp4	8.7 MB
	6. Category Predictor/1. U - Category Predictor.vtt	3.9 KB
	6. Category Predictor/2. P - Category Predictor.mp4	10.2 MB
	6. Category Predictor/2. P - Category Predictor.vtt	3.6 KB
	6. Category Predictor/2.1 category_predictor.py.py	1.7 KB
	7. Gender Identifier/1. U - Gender Identifier.mp4	2.2 MB
	7. Gender Identifier/1. U - Gender Identifier.vtt	989 B
	7. Gender Identifier/2. P - Gender Identifier.mp4	16.4 MB
	7. Gender Identifier/2. P - Gender Identifier.vtt	4.5 KB
	7. Gender Identifier/2.1 gender_identifier.py.py	1.6 KB
	8. Sentiment Analyzer/1. U - Sentiment Analyzer.mp4	3.5 MB
	8. Sentiment Analyzer/1. U - Sentiment Analyzer.vtt	2 KB
	8. Sentiment Analyzer/2. P - Sentiment Analyzer.mp4	15.6 MB
	8. Sentiment Analyzer/2. P - Sentiment Analyzer.vtt	4.2 KB
	8. Sentiment Analyzer/2.1 sentiment_analyzer.py.py	2.4 KB
	9. Topic Modeling/1. U - Topic Modeling.mp4	5.3 MB
	9. Topic Modeling/1. U - Topic Modeling.vtt	2.5 KB
	9. Topic Modeling/2. P - Topic Modeling.mp4	9.2 MB
	9. Topic Modeling/2. P - Topic Modeling.vtt	4 KB
	9. Topic Modeling/2.1 data.txt.txt	1 KB
	9. Topic Modeling/2.2 topic_modeler.py.py	2.1 KB

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