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| [CourseClub.Me].url |
122б |
| [CourseClub.Me].url |
122б |
| [CourseClub.Me].url |
122б |
| [CourseClub.Me].url |
122б |
| [CourseClub.ME].url |
122б |
| [GigaCourse.Com].url |
49б |
| [GigaCourse.Com].url |
49б |
| [GigaCourse.Com].url |
49б |
| [GigaCourse.Com].url |
49б |
| [GigaCourse.Com].url |
49б |
| 001 Article Spinning - Problem Description_en.srt |
10.78Кб |
| 001 Article Spinning - Problem Description.mp4 |
41.92Мб |
| 001 Colab Notebooks.html |
572б |
| 001 Introduction and Outline_en.srt |
15.47Кб |
| 001 Introduction and Outline.mp4 |
72.97Мб |
| 001 Machine Learning Models (Introduction)_en.srt |
6.22Кб |
| 001 Machine Learning Models (Introduction).mp4 |
23.36Мб |
| 001 Markov Models Section Introduction_en.srt |
3.46Кб |
| 001 Markov Models Section Introduction.mp4 |
13.09Мб |
| 001 Probabilistic Models (Introduction)_en.srt |
6.28Кб |
| 001 Probabilistic Models (Introduction).mp4 |
26.91Мб |
| 001 Section Introduction_en.srt |
6.67Кб |
| 001 Section Introduction.mp4 |
26.32Мб |
| 001 Sentiment Analysis - Problem Description_en.srt |
9.85Кб |
| 001 Sentiment Analysis - Problem Description.mp4 |
42.70Мб |
| 001 Spam Detection - Problem Description_en.srt |
8.72Кб |
| 001 Spam Detection - Problem Description.mp4 |
31.33Мб |
| 001 Vector Models & Text Preprocessing Intro_en.srt |
4.99Кб |
| 001 Vector Models & Text Preprocessing Intro.mp4 |
17.52Мб |
| 002 Article Spinning - N-Gram Approach_en.srt |
5.22Кб |
| 002 Article Spinning - N-Gram Approach.mp4 |
15.92Мб |
| 002 Basic Definitions for NLP_en.srt |
6.66Кб |
| 002 Basic Definitions for NLP.mp4 |
28.36Мб |
| 002 Ciphers_en.srt |
4.80Кб |
| 002 Ciphers.mp4 |
17.21Мб |
| 002 Logistic Regression Intuition (pt 1)_en.srt |
22.53Кб |
| 002 Logistic Regression Intuition (pt 1).mp4 |
63.57Мб |
| 002 Naive Bayes Intuition_en.srt |
15.22Кб |
| 002 Naive Bayes Intuition.mp4 |
51.33Мб |
| 002 The Markov Property_en.srt |
9.45Кб |
| 002 The Markov Property.mp4 |
32.25Мб |
| 002 Where to get the Code_en.srt |
15.57Кб |
| 002 Where to get the Code.mp4 |
62.90Мб |
| 003 Are You Beginner, Intermediate, or Advanced All are OK!_en.srt |
7.21Кб |
| 003 Are You Beginner, Intermediate, or Advanced All are OK!.mp4 |
26.66Мб |
| 003 Article Spinner Exercise Prompt_en.srt |
7.58Кб |
| 003 Article Spinner Exercise Prompt.mp4 |
24.62Мб |
| 003 Language Models (Review)_en.srt |
20.51Кб |
| 003 Language Models (Review).mp4 |
65.53Мб |
| 003 Multiclass Logistic Regression (pt 2)_en.srt |
8.46Кб |
| 003 Multiclass Logistic Regression (pt 2).mp4 |
23.61Мб |
| 003 Spam Detection - Exercise Prompt_en.srt |
2.63Кб |
| 003 Spam Detection - Exercise Prompt.mp4 |
8.73Мб |
| 003 The Markov Model_en.srt |
16.02Кб |
| 003 The Markov Model.mp4 |
45.32Мб |
| 003 What is a Vector_en.srt |
14.85Кб |
| 003 What is a Vector.mp4 |
48.93Мб |
| 004 Article Spinner in Python (pt 1)_en.srt |
20.68Кб |
| 004 Article Spinner in Python (pt 1).mp4 |
95.89Мб |
| 004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1)_en.srt |
16.78Кб |
| 004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 |
60.21Мб |
| 004 Bag of Words_en.srt |
3.16Кб |
| 004 Bag of Words.mp4 |
13.85Мб |
| 004 Genetic Algorithms_en.srt |
29.21Кб |
| 004 Genetic Algorithms.mp4 |
105.16Мб |
| 004 Logistic Regression Training and Interpretation (pt 3)_en.srt |
10.83Кб |
| 004 Logistic Regression Training and Interpretation (pt 3).mp4 |
39.63Мб |
| 004 Probability Smoothing and Log-Probabilities_en.srt |
10.28Кб |
| 004 Probability Smoothing and Log-Probabilities.mp4 |
32.87Мб |
| 005 Article Spinner in Python (pt 2)_en.srt |
12.41Кб |
| 005 Article Spinner in Python (pt 2).mp4 |
75.37Мб |
| 005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2)_en.srt |
14.46Кб |
| 005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 |
27.32Мб |
| 005 Building a Text Classifier (Theory)_en.srt |
9.45Кб |
| 005 Building a Text Classifier (Theory).mp4 |
28.92Мб |
| 005 Code Preparation_en.srt |
6.74Кб |
| 005 Code Preparation.mp4 |
20.63Мб |
| 005 Count Vectorizer (Theory)_en.srt |
19.19Кб |
| 005 Count Vectorizer (Theory).mp4 |
57.43Мб |
| 005 Sentiment Analysis - Exercise Prompt_en.srt |
5.09Кб |
| 005 Sentiment Analysis - Exercise Prompt.mp4 |
16.55Мб |
| 006 Building a Text Classifier (Exercise Prompt)_en.srt |
8.81Кб |
| 006 Building a Text Classifier (Exercise Prompt).mp4 |
16.11Мб |
| 006 Case Study Article Spinning Gone Wrong_en.srt |
7.56Кб |
| 006 Case Study Article Spinning Gone Wrong.mp4 |
28.23Мб |
| 006 Code pt 1_en.srt |
4.14Кб |
| 006 Code pt 1.mp4 |
15.98Мб |
| 006 Sentiment Analysis in Python (pt 1)_en.srt |
11.63Кб |
| 006 Sentiment Analysis in Python (pt 1).mp4 |
24.83Мб |
| 006 Spam Detection in Python_en.srt |
19.27Кб |
| 006 Spam Detection in Python.mp4 |
107.60Мб |
| 006 Tokenization_en.srt |
19.84Кб |
| 006 Tokenization.mp4 |
73.51Мб |
| 007 Building a Text Classifier (Code pt 1)_en.srt |
11.82Кб |
| 007 Building a Text Classifier (Code pt 1).mp4 |
57.68Мб |
| 007 Code pt 2_en.srt |
9.27Кб |
| 007 Code pt 2.mp4 |
39.13Мб |
| 007 Sentiment Analysis in Python (pt 2)_en.srt |
9.74Кб |
| 007 Sentiment Analysis in Python (pt 2).mp4 |
51.96Мб |
| 007 Stopwords_en.srt |
6.22Кб |
| 007 Stopwords.mp4 |
13.10Мб |
| 008 Building a Text Classifier (Code pt 2)_en.srt |
13.81Кб |
| 008 Building a Text Classifier (Code pt 2).mp4 |
72.22Мб |
| 008 Code pt 3_en.srt |
6.15Кб |
| 008 Code pt 3.mp4 |
29.54Мб |
| 008 Stemming and Lemmatization_en.srt |
15.82Кб |
| 008 Stemming and Lemmatization.mp4 |
57.92Мб |
| 009 Code pt 4_en.srt |
4.84Кб |
| 009 Code pt 4.mp4 |
25.62Мб |
| 009 Language Model (Theory)_en.srt |
13.29Кб |
| 009 Language Model (Theory).mp4 |
44.96Мб |
| 009 Stemming and Lemmatization Demo_en.srt |
13.90Кб |
| 009 Stemming and Lemmatization Demo.mp4 |
74.84Мб |
| 010 Code pt 5_en.srt |
8.82Кб |
| 010 Code pt 5.mp4 |
40.96Мб |
| 010 Count Vectorizer (Code)_en.srt |
19.13Кб |
| 010 Count Vectorizer (Code).mp4 |
101.98Мб |
| 010 Language Model (Exercise Prompt)_en.srt |
8.99Кб |
| 010 Language Model (Exercise Prompt).mp4 |
28.80Мб |
| 011 Code pt 6_en.srt |
7.24Кб |
| 011 Code pt 6.mp4 |
13.31Мб |
| 011 Language Model (Code pt 1)_en.srt |
13.16Кб |
| 011 Language Model (Code pt 1).mp4 |
62.83Мб |
| 011 Vector Similarity_en.srt |
15.16Кб |
| 011 Vector Similarity.mp4 |
45.11Мб |
| 012 Language Model (Code pt 2)_en.srt |
11.30Кб |
| 012 Language Model (Code pt 2).mp4 |
52.43Мб |
| 012 Section Conclusion_en.srt |
8.30Кб |
| 012 Section Conclusion.mp4 |
24.24Мб |
| 012 TF-IDF (Theory)_en.srt |
18.27Кб |
| 012 TF-IDF (Theory).mp4 |
58.57Мб |
| 013 (Interactive) Recommender Exercise Prompt_en.srt |
3.21Кб |
| 013 (Interactive) Recommender Exercise Prompt.mp4 |
13.38Мб |
| 013 Markov Models Section Summary_en.srt |
3.96Кб |
| 013 Markov Models Section Summary.mp4 |
15.56Мб |
| 014 TF-IDF (Code)_en.srt |
24.80Кб |
| 014 TF-IDF (Code).mp4 |
124.92Мб |
| 015 Word-to-Index Mapping_en.srt |
14.80Кб |
| 015 Word-to-Index Mapping.mp4 |
47.58Мб |
| 016 How to Build TF-IDF From Scratch_en.srt |
18.56Кб |
| 016 How to Build TF-IDF From Scratch.mp4 |
79.79Мб |
| 017 Neural Word Embeddings_en.srt |
13.48Кб |
| 017 Neural Word Embeddings.mp4 |
45.54Мб |
| 018 Neural Word Embeddings Demo_en.srt |
12.74Кб |
| 018 Neural Word Embeddings Demo.mp4 |
66.84Мб |
| 019 Vector Models & Text Preprocessing Summary_en.srt |
4.80Кб |
| 019 Vector Models & Text Preprocessing Summary.mp4 |
20.85Мб |
| external-assets-links.txt |
223б |