Udemy - Machine Learning: Natural Language Processing in Python (...

Files:

• [CourseClub.ME].url (0.1 KB)
• [GigaCourse.Com].url (0.0 KB)

• 001 Introduction and Outline.mp4 (73.0 MB)
• 001 Introduction and Outline_en.srt (15.5 KB)
• 002 Where to get the Code.mp4 (62.9 MB)
• 002 Where to get the Code_en.srt (15.6 KB)
• 003 Are You Beginner, Intermediate, or Advanced All are OK!.mp4 (26.7 MB)
• 003 Are You Beginner, Intermediate, or Advanced All are OK!_en.srt (7.2 KB)
• external-assets-links.txt (0.2 KB)

• 001 Vector Models & Text Preprocessing Intro.mp4 (17.5 MB)
• 001 Vector Models & Text Preprocessing Intro_en.srt (5.0 KB)
• 002 Basic Definitions for NLP.mp4 (28.4 MB)
• 002 Basic Definitions for NLP_en.srt (6.7 KB)
• 003 What is a Vector.mp4 (48.9 MB)
• 003 What is a Vector_en.srt (14.9 KB)
• 004 Bag of Words.mp4 (13.9 MB)
• 004 Bag of Words_en.srt (3.2 KB)
• 005 Count Vectorizer (Theory).mp4 (57.4 MB)
• 005 Count Vectorizer (Theory)_en.srt (19.2 KB)
• 006 Tokenization.mp4 (73.5 MB)
• 006 Tokenization_en.srt (19.8 KB)
• 007 Stopwords.mp4 (13.1 MB)
• 007 Stopwords_en.srt (6.2 KB)
• 008 Stemming and Lemmatization.mp4 (57.9 MB)
• 008 Stemming and Lemmatization_en.srt (15.8 KB)
• 009 Stemming and Lemmatization Demo.mp4 (74.8 MB)
• 009 Stemming and Lemmatization Demo_en.srt (13.9 KB)
• 010 Count Vectorizer (Code).mp4 (102.0 MB)
• 010 Count Vectorizer (Code)_en.srt (19.1 KB)
• 011 Vector Similarity.mp4 (45.1 MB)
• 011 Vector Similarity_en.srt (15.2 KB)
• 012 TF-IDF (Theory).mp4 (58.6 MB)
• 012 TF-IDF (Theory)_en.srt (18.3 KB)
• 013 (Interactive) Recommender Exercise Prompt.mp4 (13.4 MB)
• 013 (Interactive) Recommender Exercise Prompt_en.srt (3.2 KB)
• 014 TF-IDF (Code).mp4 (124.9 MB)
• 014 TF-IDF (Code)_en.srt (24.8 KB)
• 015 Word-to-Index Mapping.mp4 (47.6 MB)
• 015 Word-to-Index Mapping_en.srt (14.8 KB)
• 016 How to Build TF-IDF From Scratch.mp4 (79.8 MB)
• 016 How to Build TF-IDF From Scratch_en.srt (18.6 KB)
• 017 Neural Word Embeddings.mp4 (45.5 MB)
• 017 Neural Word Embeddings_en.srt (13.5 KB)
• 018 Neural Word Embeddings Demo.mp4 (66.8 MB)
• 018 Neural Word Embeddings Demo_en.srt (12.7 KB)
• 019 Vector Models & Text Preprocessing Summary.mp4 (20.9 MB)
• 019 Vector Models & Text Preprocessing Summary_en.srt (4.8 KB)

• 001 Probabilistic Models (Introduction).mp4 (26.9 MB)
• 001 Probabilistic Models (Introduction)_en.srt (6.3 KB)
• [CourseClub.Me].url (0.1 KB)
• [GigaCourse.Com].url (0.0 KB)

• 001 Markov Models Section Introduction.mp4 (13.1 MB)
• 001 Markov Models Section Introduction_en.srt (3.5 KB)
• 002 The Markov Property.mp4 (32.2 MB)
• 002 The Markov Property_en.srt (9.5 KB)
• 003 The Markov Model.mp4 (45.3 MB)
• 003 The Markov Model_en.srt (16.0 KB)
• 004 Probability Smoothing and Log-Probabilities.mp4 (32.9 MB)
• 004 Probability Smoothing and Log-Probabilities_en.srt (10.3 KB)
• 005 Building a Text Classifier (Theory).mp4 (28.9 MB)
• 005 Building a Text Classifier (Theory)_en.srt (9.5 KB)
• 006 Building a Text Classifier (Exercise Prompt).mp4 (16.1 MB)
• 006 Building a Text Classifier (Exercise Prompt)_en.srt (8.8 KB)
• 007 Building a Text Classifier (Code pt 1).mp4 (57.7 MB)
• 007 Building a Text Classifier (Code pt 1)_en.srt (11.8 KB)
• 008 Building a Text Classifier (Code pt 2).mp4 (72.2 MB)
• 008 Building a Text Classifier (Code pt 2)_en.srt (13.8 KB)
• 009 Language Model (Theory).mp4 (45.0 MB)
• 009 Language Model (Theory)_en.srt (13.3 KB)
• 010 Language Model (Exercise Prompt).mp4 (28.8 MB)
• 010 Language Model (Exercise Prompt)_en.srt (9.0 KB)
• 011 Language Model (Code pt 1).mp4 (62.8 MB)
• 011 Language Model (Code pt 1)_en.srt (13.2 KB)
• 012 Language Model (Code pt 2).mp4 (52.4 MB)
• 012 Language Model (Code pt 2)_en.srt (11.3 KB)
• 013 Markov Models Section Summary.mp4 (15.6 MB)
• 013 Markov Models Section Summary_en.srt (4.0 KB)

• 001 Article Spinning - Problem Description.mp4 (41.9 MB)
• 001 Article Spinning - Problem Description_en.srt (10.8 KB)
• 002 Article Spinning - N-Gram Approach.mp4 (15.9 MB)
• 002 Article Spinning - N-Gram Approach_en.srt (5.2 KB)
• 003 Article Spinner Exercise Prompt.mp4 (24.6 MB)
• 003 Article Spinner Exercise Prompt_en.srt (7.6 KB)
• 004 Article Spinner in Python (pt 1).mp4 (95.9 MB)
• 004 Article Spinner in Python (pt 1)_en.srt (20.7 KB)
• 005 Article Spinner in Python (pt 2).mp4 (75.4 MB)
• 005 Article Spinner in Python (pt 2)_en.srt (12.4 KB)
• 006 Case Study Article Spinning Gone Wrong.mp4 (28.2 MB)
• 006 Case Study Article Spinning Gone Wrong_en.srt (7.6 KB)
• [CourseClub.Me].url (0.1 KB)
• [GigaCourse.Com].url (0.0 KB)

• 001 Section Introduction.mp4 (26.3 MB)
• 001 Section Introduction_en.srt (6.7 KB)
• 002 Ciphers.mp4 (17.2 MB)
• 002 Ciphers_en.srt (4.8 KB)
• 003 Language Models (Review).mp4 (65.5 MB)
• 003 Language Models (Review)_en.srt (20.5 KB)
• 004 Genetic Algorithms.mp4 (105.2 MB)
• 004 Genetic Algorithms_en.srt (29.2 KB)
• 005 Code Preparation.mp4 (20.6 MB)
• 005 Code Preparation_en.srt (6.7 KB)
• 006 Code pt 1.mp4 (16.0 MB)
• 006 Code pt 1_en.srt (4.1 KB)
• 007 Code pt 2.mp4 (39.1 MB)
• 007 Code pt 2_en.srt (9.3 KB)
• 008 Code pt 3.mp4 (29.5 MB)
• 008 Code pt 3_en.srt (6.1 KB)
• 009 Code pt 4.mp4 (25.6 MB)
• 009 Code pt 4_en.srt (4.8 KB)
• 010 Code pt 5.mp4 (41.0 MB)
• 010 Code pt 5_en.srt (8.8 KB)
• 011 Code pt 6.mp4 (13.3 MB)
• 011 Code pt 6_en.srt (7.2 KB)
• 012 Section Conclusion.mp4 (24.2 MB)
• 012 Section Conclusion_en.srt (8.3 KB)

• 001 Machine Learning Models (Introduction).mp4 (23.4 MB)
• 001 Machine Learning Models (Introduction)_en.srt (6.2 KB)

• 001 Spam Detection - Problem Description.mp4 (31.3 MB)
• 001 Spam Detection - Problem Description_en.srt (8.7 KB)
• 002 Naive Bayes Intuition.mp4 (51.3 MB)
• 002 Naive Bayes Intuition_en.srt (15.2 KB)
• 003 Spam Detection - Exercise Prompt.mp4 (8.7 MB)
• 003 Spam Detection - Exercise Prompt_en.srt (2.6 KB)
• 004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 (60.2 MB)
• 004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1)_en.srt (16.8 KB)
• 005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 (27.3 MB)
• 005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2)_en.srt (14.5 KB)
• 006 Spam Detection in Python.mp4 (107.6 MB)
• 006 Spam Detection in Python_en.srt (19.3 KB)
• [CourseClub.Me].url (0.1 KB)
• [GigaCourse.Com].url (0.0 KB)

• 001 Sentiment Analysis - Problem Description.mp4 (42.7 MB)
• 001 Sentiment Analysis - Problem Description_en.srt (9.8 KB)
• 002 Logistic Regression Intuition (pt 1).mp4 (63.6 MB)
• 002 Logistic Regression Intuition (pt 1)_en.srt (22.5 KB)
• 003 Multiclass Logistic Regression (pt 2).mp4 (23.6 MB)
• 003 Multiclass Logistic Regression (pt 2)_en.srt (8.5 KB)
• 004 Logistic Regression Training and Interpretation (pt 3).mp4 (39.6 MB)
• 004 Logistic Regression Training and Interpretation (pt 3)_en.srt (10.8 KB)
• 005 Sentiment Analysis - Exercise Prompt.mp4 (16.6 MB)
• 005 Sentiment Analysis - Exercise Prompt_en.srt (5.1 KB)
• 006 Sentiment Analysis in Python (pt 1).mp4 (24.8 MB)
• 006 Sentiment Analysis in Python (pt 1)_en.srt (11.6 KB)
• 007 Sentiment Analysis in Python (pt 2).mp4 (52.0 MB)
• 007 Sentiment Analysis in Python (pt 2)_en.srt (9.7 KB)

• 001 Colab Notebooks.html (0.6 KB)

• [CourseClub.Me].url (0.1 KB)
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