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