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[ CourseWikia.com ] Intro To Natural Language Processing In Python For Ai

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大小
1.3 GB
文件数
53
分类
视频
热度
186
最近活跃
8 分钟前

文件列表

  • Get Bonus Downloads Here.url181 B
  • ~Get Your Files Here !/1 - Introduction/1 - Introduction to the course.mp454.6 MB
  • ~Get Your Files Here !/1 - Introduction/2 - Introduction to NLP.mp432.6 MB
  • ~Get Your Files Here !/1 - Introduction/3 - NLP in everyday life.mp418.9 MB
  • ~Get Your Files Here !/1 - Introduction/4 - Supervised vs Unsupervised NLP.mp426.3 MB
  • ~Get Your Files Here !/2 - Text Preprocessing/10 - Stemming.mp47.1 MB
  • ~Get Your Files Here !/2 - Text Preprocessing/11 - Lemmatization.mp410.7 MB
  • ~Get Your Files Here !/2 - Text Preprocessing/12 - Ngrams.mp418.2 MB
  • ~Get Your Files Here !/2 - Text Preprocessing/13 - Practical task.mp460.6 MB
  • ~Get Your Files Here !/2 - Text Preprocessing/13 - tripadvisor-hotel-reviews.csv65.9 KB
  • ~Get Your Files Here !/2 - Text Preprocessing/5 - The importance of data preparation.mp433.7 MB
  • ~Get Your Files Here !/2 - Text Preprocessing/6 - Lowercase.mp49.4 MB
  • ~Get Your Files Here !/2 - Text Preprocessing/7 - Removing stop words.mp419.8 MB
  • ~Get Your Files Here !/2 - Text Preprocessing/8 - Regular expressions.mp440.6 MB
  • ~Get Your Files Here !/2 - Text Preprocessing/9 - Tokenization.mp47.8 MB
  • ~Get Your Files Here !/3 - Identifying Parts of Speech and Named Entities/14 - Text tagging.mp423.0 MB
  • ~Get Your Files Here !/3 - Identifying Parts of Speech and Named Entities/15 - Parts of speech POS tagging.mp420.6 MB
  • ~Get Your Files Here !/3 - Identifying Parts of Speech and Named Entities/16 - Named entity recognition NER.mp424.0 MB
  • ~Get Your Files Here !/3 - Identifying Parts of Speech and Named Entities/17 - Practical task.mp452.3 MB
  • ~Get Your Files Here !/3 - Identifying Parts of Speech and Named Entities/17 - bbc-news.csv333.4 KB
  • ~Get Your Files Here !/4 - Sentiment Analysis/18 - What is sentiment analysis.mp437.2 MB
  • ~Get Your Files Here !/4 - Sentiment Analysis/19 - Rulebased sentiment analysis.mp422.8 MB
  • ~Get Your Files Here !/4 - Sentiment Analysis/20 - Pretrained transformer models.mp422.2 MB
  • ~Get Your Files Here !/4 - Sentiment Analysis/21 - Practical task.mp431.7 MB
  • ~Get Your Files Here !/4 - Sentiment Analysis/21 - book-reviews-sample.csv9.4 KB
  • ~Get Your Files Here !/5 - Vectorizing Text/22 - Numerical representation of text.mp433.3 MB
  • ~Get Your Files Here !/5 - Vectorizing Text/23 - Bag of Words model.mp411.5 MB
  • ~Get Your Files Here !/5 - Vectorizing Text/24 - TFIDF.mp419.0 MB
  • ~Get Your Files Here !/6 - Topic Modelling/25 - What is topic modelling.mp456.9 MB
  • ~Get Your Files Here !/6 - Topic Modelling/26 - When to use topic modelling.mp431.3 MB
  • ~Get Your Files Here !/6 - Topic Modelling/27 - Latent Dirichlet Allocation.mp444.7 MB
  • ~Get Your Files Here !/6 - Topic Modelling/28 - LDA in Python.mp430.1 MB
  • ~Get Your Files Here !/6 - Topic Modelling/28 - news-articles.csv657.3 KB
  • ~Get Your Files Here !/6 - Topic Modelling/29 - Latent Semantic Analysis.mp433.0 MB
  • ~Get Your Files Here !/6 - Topic Modelling/30 - LSA in Python.mp413.4 MB
  • ~Get Your Files Here !/7 - Builing Your Own Text Classifier/31 - Building a custom text classifier.mp418.8 MB
  • ~Get Your Files Here !/7 - Builing Your Own Text Classifier/32 - Logistic regression.mp426.6 MB
  • ~Get Your Files Here !/7 - Builing Your Own Text Classifier/33 - Naive Bayes.mp48.4 MB
  • ~Get Your Files Here !/7 - Builing Your Own Text Classifier/34 - Linear Support Vector Machine.mp411.0 MB
  • ~Get Your Files Here !/8 - Case Study Categorizing Fake News/35 - Introducing the project.mp418.2 MB
  • ~Get Your Files Here !/8 - Case Study Categorizing Fake News/35 - fake-news-data.csv465.4 KB
  • ~Get Your Files Here !/8 - Case Study Categorizing Fake News/36 - Exploring our data through POS tags.mp438.0 MB
  • ~Get Your Files Here !/8 - Case Study Categorizing Fake News/37 - Extracting named entities.mp419.1 MB
  • ~Get Your Files Here !/8 - Case Study Categorizing Fake News/38 - Processing the text.mp451.3 MB
  • ~Get Your Files Here !/8 - Case Study Categorizing Fake News/39 - Does sentiment differ between news types.mp420.4 MB
  • ~Get Your Files Here !/8 - Case Study Categorizing Fake News/40 - What topics appear in fake news Part 1.mp425.0 MB
  • ~Get Your Files Here !/8 - Case Study Categorizing Fake News/41 - What topics appear in fake news Part 2.mp434.5 MB
  • ~Get Your Files Here !/8 - Case Study Categorizing Fake News/42 - Categorizing fake news with a custom classifier.mp430.8 MB
  • ~Get Your Files Here !/9 - The Future of NLP/43 - What is deep learning.mp452.6 MB
  • ~Get Your Files Here !/9 - The Future of NLP/44 - Deep learning for NLP.mp439.1 MB
  • ~Get Your Files Here !/9 - The Future of NLP/45 - NonEnglish NLP.mp438.5 MB
  • ~Get Your Files Here !/9 - The Future of NLP/46 - Whats next for NLP.mp429.7 MB
  • ~Get Your Files Here !/Bonus Resources.txt386 B

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