Intro To Natural Language Processing In Python For Ai

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction
• 1 - Introduction to the course.mp4 (54.6 MB)
• 2 - Introduction to NLP.mp4 (32.6 MB)
• 3 - NLP in everyday life.mp4 (18.9 MB)
• 4 - Supervised vs Unsupervised NLP.mp4 (26.3 MB)
2 - Text Preprocessing
• 10 - Stemming.mp4 (7.1 MB)
• 11 - Lemmatization.mp4 (10.7 MB)
• 12 - Ngrams.mp4 (18.2 MB)
• 13 - Practical task.mp4 (60.6 MB)
• 13 - tripadvisor-hotel-reviews.csv (65.9 KB)
• 5 - The importance of data preparation.mp4 (33.7 MB)
• 6 - Lowercase.mp4 (9.4 MB)
• 7 - Removing stop words.mp4 (19.8 MB)
• 8 - Regular expressions.mp4 (40.6 MB)
• 9 - Tokenization.mp4 (7.8 MB)
3 - Identifying Parts of Speech and Named Entities
• 14 - Text tagging.mp4 (23.0 MB)
• 15 - Parts of speech POS tagging.mp4 (20.6 MB)
• 16 - Named entity recognition NER.mp4 (24.0 MB)
• 17 - Practical task.mp4 (52.3 MB)
• 17 - bbc-news.csv (333.4 KB)
4 - Sentiment Analysis
• 18 - What is sentiment analysis.mp4 (37.2 MB)
• 19 - Rulebased sentiment analysis.mp4 (22.8 MB)
• 20 - Pretrained transformer models.mp4 (22.2 MB)
• 21 - Practical task.mp4 (31.7 MB)
• 21 - book-reviews-sample.csv (9.4 KB)
5 - Vectorizing Text
• 22 - Numerical representation of text.mp4 (33.3 MB)
• 23 - Bag of Words model.mp4 (11.5 MB)
• 24 - TFIDF.mp4 (19.0 MB)
6 - Topic Modelling
• 25 - What is topic modelling.mp4 (56.9 MB)
• 26 - When to use topic modelling.mp4 (31.3 MB)
• 27 - Latent Dirichlet Allocation.mp4 (44.7 MB)
• 28 - LDA in Python.mp4 (30.1 MB)
• 28 - news-articles.csv (657.3 KB)
• 29 - Latent Semantic Analysis.mp4 (33.0 MB)
• 30 - LSA in Python.mp4 (13.4 MB)
7 - Builing Your Own Text Classifier
• 31 - Building a custom text classifier.mp4 (18.8 MB)
• 32 - Logistic regression.mp4 (26.6 MB)
• 33 - Naive Bayes.mp4 (8.4 MB)
• 34 - Linear Support Vector Machine.mp4 (11.0 MB)
8 - Case Study Categorizing Fake News
• 35 - Introducing the project.mp4 (18.2 MB)
• 35 - fake-news-data.csv (465.4 KB)
• 36 - Exploring our data through POS tags.mp4 (38.0 MB)
• 37 - Extracting named entities.mp4 (19.1 MB)
• 38 - Processing the text.mp4 (51.3 MB)
• 39 - Does sentiment differ between news types.mp4 (20.4 MB)
• 40 - What topics appear in fake news Part 1.mp4 (25.0 MB)
• 41 - What topics appear in fake news Part 2.mp4 (34.5 MB)
• 42 - Categorizing fake news with a custom classifier.mp4 (30.8 MB)
9 - The Future of NLP
• 43 - What is deep learning.mp4 (52.6 MB)
• 44 - Deep learning for NLP.mp4 (39.1 MB)
• 45 - NonEnglish NLP.mp4 (38.5 MB)
• 46 - Whats next for NLP.mp4 (29.7 MB)
• Bonus Resources.txt (0.4 KB)