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[FreeCourseSite.com] Udemy - U&P AI - Basics of NLP using NLTK
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[FreeCourseSite.com] Udemy - U&P AI - Basics of NLP using NLTK
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种子哈希:
192b412ded92c14aacefd6c9cdc5892d50da8749
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2018-10-12
最近下载:
2024-11-21
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文件列表
1. Introduction and Installation/1. Introduction to NLP.mp4
4.4 MB
1. Introduction and Installation/1. Introduction to NLP.vtt
2.9 kB
1. Introduction and Installation/1.1 1 - Introduction.pdf.pdf
94.1 kB
1. Introduction and Installation/2. By The End Of This Course.mp4
2.9 MB
1. Introduction and Installation/2. By The End Of This Course.vtt
1.3 kB
1. Introduction and Installation/3. Installation.mp4
7.8 MB
1. Introduction and Installation/3. Installation.vtt
2.7 kB
1. Introduction and Installation/4. Tips.mp4
1.2 MB
1. Introduction and Installation/4. Tips.vtt
284 Bytes
10. Summary/1. Summary.mp4
3.8 MB
10. Summary/1. Summary.vtt
1.1 kB
2. Tokenization/1. U - Tokenization.mp4
2.6 MB
2. Tokenization/1. U - Tokenization.vtt
1.0 kB
2. Tokenization/2. P - Tokenization.mp4
5.2 MB
2. Tokenization/2. P - Tokenization.vtt
1.6 kB
2. Tokenization/2.1 tokenizer.py.py
515 Bytes
3. Converting Words to their Base Forms/1. U - Stemming.mp4
3.8 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
10.8 MB
3. Converting Words to their Base Forms/2. P - Stemming.vtt
3.0 kB
3. Converting Words to their Base Forms/2.1 stemmer.py.py
858 Bytes
3. Converting Words to their Base Forms/3. U - Lemmatization.mp4
2.9 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
7.0 MB
3. Converting Words to their Base Forms/4. P - Lemmatization.vtt
2.1 kB
3. Converting Words to their Base Forms/4.1 lemmatizer.py.py
723 Bytes
4. Chunks/1. U - Chunks.mp4
3.7 MB
4. Chunks/1. U - Chunks.vtt
1.6 kB
4. Chunks/2. P - Chunks.mp4
10.6 MB
4. Chunks/2. P - Chunks.vtt
3.1 kB
4. Chunks/2.1 text_chunker.py.py
876 Bytes
5. Bag Of Words/1. U - Bag Of Words.mp4
7.1 MB
5. Bag Of Words/1. U - Bag Of Words.vtt
3.7 kB
5. Bag Of Words/2. P - Bag Of Words.mp4
9.5 MB
5. Bag Of Words/2. P - Bag Of Words.vtt
3.0 kB
5. Bag Of Words/2.1 bag_of_words.py.py
1.3 kB
6. Category Predictor/1. U - Category Predictor.mp4
9.1 MB
6. Category Predictor/1. U - Category Predictor.vtt
4.0 kB
6. Category Predictor/2. P - Category Predictor.mp4
10.7 MB
6. Category Predictor/2. P - Category Predictor.vtt
3.7 kB
6. Category Predictor/2.1 category_predictor.py.py
1.8 kB
7. Gender Identifier/1. U - Gender Identifier.mp4
2.3 MB
7. Gender Identifier/1. U - Gender Identifier.vtt
989 Bytes
7. Gender Identifier/2. P - Gender Identifier.mp4
17.2 MB
7. Gender Identifier/2. P - Gender Identifier.vtt
4.6 kB
7. Gender Identifier/2.1 gender_identifier.py.py
1.6 kB
8. Sentiment Analyzer/1. U - Sentiment Analyzer.mp4
3.7 MB
8. Sentiment Analyzer/1. U - Sentiment Analyzer.vtt
2.0 kB
8. Sentiment Analyzer/2. P - Sentiment Analyzer.mp4
16.3 MB
8. Sentiment Analyzer/2. P - Sentiment Analyzer.vtt
4.3 kB
8. Sentiment Analyzer/2.1 sentiment_analyzer.py.py
2.5 kB
9. Topic Modeling/1. U - Topic Modeling.mp4
5.6 MB
9. Topic Modeling/1. U - Topic Modeling.vtt
2.5 kB
9. Topic Modeling/2. P - Topic Modeling.mp4
9.6 MB
9. Topic Modeling/2. P - Topic Modeling.vtt
4.1 kB
9. Topic Modeling/2.1 data.txt.txt
1.0 kB
9. Topic Modeling/2.2 topic_modeler.py.py
2.1 kB
[CourseClub.NET].url
123 Bytes
[FCS Forum].url
133 Bytes
[FreeCourseSite.com].url
127 Bytes
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