[FreeCourseSite.com] Udemy - U&P AI - Basics of NLP using NLTK - 磁力管家

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种子哈希：192b412ded92c14aacefd6c9cdc5892d50da8749
文档大小：158.0 MB
文档个数：60个文档
下载次数：1040次
下载速度：极快
收录时间：2018-10-12
最近下载：2025-05-14
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文档列表

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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