NLP Basic Course for Beginner
File List
- 04 Count Vectorization/001 Count Vectorization in NLP.mp4 126.5 MB
- 05 Project/001 Spam Detection Model in NLP.mp4 122.1 MB
- 02 Basics/003 Regular Expression.mp4 96.3 MB
- 03 Preprocessing/004 Stemming.mp4 82.6 MB
- 02 Basics/001 Reading in Text Data.mp4 82.0 MB
- 03 Preprocessing/005 Lemmatization.mp4 78.7 MB
- 01 Introduction/001 Getting Started with NLP.mp4 59.1 MB
- 03 Preprocessing/001 Removing Punctuation.mp4 52.5 MB
- 03 Preprocessing/003 Removing stopwords.mp4 51.4 MB
- 02 Basics/002 Exploring the Dataset.mp4 50.8 MB
- 01 Introduction/002 NLTK Setup and Overview.mp4 50.6 MB
- 03 Preprocessing/002 Tokenizing in Text.mp4 32.2 MB
- 01 Introduction/002 SMSSpamCollection.tsv 466.4 KB
- 02 Basics/003 SMSSpamCollection.tsv 466.4 KB
- 02 Basics/004 SMSSpamCollection.tsv 466.4 KB
- 02 Basics/005 SMSSpamCollection.tsv 466.4 KB
- 05 Project/012 SMSSpamCollection.tsv 466.4 KB
- 04 Count Vectorization/011 10.Count Vectorizer.py 2.1 KB
- 05 Project/012 11.Spam Detection Model.py 2.1 KB
- 03 Preprocessing/008 07.Removing StopWords.py 1.9 KB
- 03 Preprocessing/007 06.Tokenizing.py 1.6 KB
- 03 Preprocessing/010 09.Lemmatization.py 1.4 KB
- 03 Preprocessing/006 05.Removing Punctuations.py 1.4 KB
- 02 Basics/005 04.Regular Expressions.py 1.3 KB
- 03 Preprocessing/009 08.Stemming.py 1.2 KB
- 02 Basics/004 03.Exploring the Dataset.py 989 bytes
- 02 Basics/003 02.Reading in text data.py 968 bytes
- 01 Introduction/002 01.NLTK Setup and Overview.py 749 bytes
- Downloaded from 1337x.html 543 bytes
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