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[GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)
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文档列表
02 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4
131.0 MB
08 - Spam Detection/006 Spam Detection in Python.mp4
112.8 MB
06 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4
110.3 MB
02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code).mp4
106.9 MB
05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp4
100.6 MB
02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch.mp4
83.7 MB
05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2).mp4
79.0 MB
02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo.mp4
78.5 MB
02 - Vector Models and Text Preprocessing/006 Tokenization.mp4
77.1 MB
01 - Introduction/001 Introduction and Outline.mp4
76.5 MB
04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2).mp4
75.7 MB
02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo.mp4
70.1 MB
06 - Cipher Decryption (Advanced)/003 Language Models (Review).mp4
68.7 MB
09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1).mp4
66.7 MB
01 - Introduction/002 Where to get the Code.mp4
66.0 MB
04 - Markov Models (Intermediate)/011 Language Model (Code pt 1).mp4
65.9 MB
08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4
63.1 MB
02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory).mp4
61.4 MB
02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization.mp4
60.7 MB
04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1).mp4
60.5 MB
02 - Vector Models and Text Preprocessing/005 Count Vectorizer (Theory).mp4
60.2 MB
04 - Markov Models (Intermediate)/012 Language Model (Code pt 2).mp4
55.0 MB
09 - Sentiment Analysis/007 Sentiment Analysis in Python (pt 2).mp4
54.5 MB
08 - Spam Detection/002 Naive Bayes Intuition.mp4
53.8 MB
02 - Vector Models and Text Preprocessing/003 What is a Vector.mp4
51.3 MB
02 - Vector Models and Text Preprocessing/015 Word-to-Index Mapping.mp4
49.9 MB
02 - Vector Models and Text Preprocessing/017 Neural Word Embeddings.mp4
47.8 MB
04 - Markov Models (Intermediate)/003 The Markov Model.mp4
47.5 MB
02 - Vector Models and Text Preprocessing/011 Vector Similarity.mp4
47.3 MB
04 - Markov Models (Intermediate)/009 Language Model (Theory).mp4
47.1 MB
09 - Sentiment Analysis/001 Sentiment Analysis - Problem Description.mp4
44.8 MB
05 - Article Spinner (Intermediate)/001 Article Spinning - Problem Description.mp4
44.0 MB
06 - Cipher Decryption (Advanced)/010 Code pt 5.mp4
42.9 MB
09 - Sentiment Analysis/004 Logistic Regression Training and Interpretation (pt 3).mp4
41.6 MB
06 - Cipher Decryption (Advanced)/007 Code pt 2.mp4
41.0 MB
04 - Markov Models (Intermediate)/004 Probability Smoothing and Log-Probabilities.mp4
34.5 MB
04 - Markov Models (Intermediate)/002 The Markov Property.mp4
33.8 MB
08 - Spam Detection/001 Spam Detection - Problem Description.mp4
32.9 MB
06 - Cipher Decryption (Advanced)/008 Code pt 3.mp4
31.0 MB
04 - Markov Models (Intermediate)/005 Building a Text Classifier (Theory).mp4
30.3 MB
04 - Markov Models (Intermediate)/010 Language Model (Exercise Prompt).mp4
30.2 MB
02 - Vector Models and Text Preprocessing/002 Basic Definitions for NLP.mp4
29.7 MB
05 - Article Spinner (Intermediate)/006 Case Study Article Spinning Gone Wrong.mp4
29.6 MB
08 - Spam Detection/005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4
28.7 MB
03 - Probabilistic Models (Introduction)/001 Probabilistic Models (Introduction).mp4
28.2 MB
01 - Introduction/003 Are You Beginner, Intermediate, or Advanced All are OK!.mp4
28.0 MB
06 - Cipher Decryption (Advanced)/001 Section Introduction.mp4
27.6 MB
06 - Cipher Decryption (Advanced)/009 Code pt 4.mp4
26.9 MB
09 - Sentiment Analysis/006 Sentiment Analysis in Python (pt 1).mp4
26.0 MB
05 - Article Spinner (Intermediate)/003 Article Spinner Exercise Prompt.mp4
25.8 MB
06 - Cipher Decryption (Advanced)/012 Section Conclusion.mp4
25.4 MB
09 - Sentiment Analysis/003 Multiclass Logistic Regression (pt 2).mp4
24.8 MB
07 - Machine Learning Models (Introduction)/001 Machine Learning Models (Introduction).mp4
24.5 MB
02 - Vector Models and Text Preprocessing/019 Vector Models & Text Preprocessing Summary.mp4
21.9 MB
06 - Cipher Decryption (Advanced)/005 Code Preparation.mp4
21.6 MB
02 - Vector Models and Text Preprocessing/001 Vector Models & Text Preprocessing Intro.mp4
18.4 MB
06 - Cipher Decryption (Advanced)/002 Ciphers.mp4
18.0 MB
09 - Sentiment Analysis/005 Sentiment Analysis - Exercise Prompt.mp4
17.4 MB
04 - Markov Models (Intermediate)/006 Building a Text Classifier (Exercise Prompt).mp4
16.9 MB
06 - Cipher Decryption (Advanced)/006 Code pt 1.mp4
16.8 MB
05 - Article Spinner (Intermediate)/002 Article Spinning - N-Gram Approach.mp4
16.7 MB
04 - Markov Models (Intermediate)/013 Markov Models Section Summary.mp4
16.3 MB
02 - Vector Models and Text Preprocessing/004 Bag of Words.mp4
14.5 MB
02 - Vector Models and Text Preprocessing/013 (Interactive) Recommender Exercise Prompt.mp4
14.0 MB
06 - Cipher Decryption (Advanced)/011 Code pt 6.mp4
14.0 MB
02 - Vector Models and Text Preprocessing/007 Stopwords.mp4
13.7 MB
04 - Markov Models (Intermediate)/001 Markov Models Section Introduction.mp4
13.7 MB
08 - Spam Detection/003 Spam Detection - Exercise Prompt.mp4
9.2 MB
06 - Cipher Decryption (Advanced)/004 Genetic Algorithms_en.srt
29.9 kB
02 - Vector Models and Text Preprocessing/014 TF-IDF (Code)_en.srt
25.4 kB
09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1)_en.srt
23.1 kB
05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1)_en.srt
21.2 kB
06 - Cipher Decryption (Advanced)/003 Language Models (Review)_en.srt
21.0 kB
02 - Vector Models and Text Preprocessing/006 Tokenization_en.srt
20.3 kB
08 - Spam Detection/006 Spam Detection in Python_en.srt
19.7 kB
02 - Vector Models and Text Preprocessing/005 Count Vectorizer (Theory)_en.srt
19.6 kB
02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code)_en.srt
19.6 kB
02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch_en.srt
19.0 kB
02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory)_en.srt
18.7 kB
08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1)_en.srt
17.2 kB
04 - Markov Models (Intermediate)/003 The Markov Model_en.srt
16.4 kB
02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization_en.srt
16.2 kB
01 - Introduction/002 Where to get the Code_en.srt
15.9 kB
01 - Introduction/001 Introduction and Outline_en.srt
15.8 kB
08 - Spam Detection/002 Naive Bayes Intuition_en.srt
15.6 kB
02 - Vector Models and Text Preprocessing/011 Vector Similarity_en.srt
15.5 kB
02 - Vector Models and Text Preprocessing/003 What is a Vector_en.srt
15.2 kB
02 - Vector Models and Text Preprocessing/015 Word-to-Index Mapping_en.srt
15.2 kB
08 - Spam Detection/005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2)_en.srt
14.8 kB
02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo_en.srt
14.2 kB
04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2)_en.srt
14.1 kB
02 - Vector Models and Text Preprocessing/017 Neural Word Embeddings_en.srt
13.8 kB
04 - Markov Models (Intermediate)/009 Language Model (Theory)_en.srt
13.6 kB
04 - Markov Models (Intermediate)/011 Language Model (Code pt 1)_en.srt
13.5 kB
02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo_en.srt
13.0 kB
05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2)_en.srt
12.7 kB
04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1)_en.srt
12.1 kB
09 - Sentiment Analysis/006 Sentiment Analysis in Python (pt 1)_en.srt
11.9 kB
04 - Markov Models (Intermediate)/012 Language Model (Code pt 2)_en.srt
11.6 kB
09 - Sentiment Analysis/004 Logistic Regression Training and Interpretation (pt 3)_en.srt
11.1 kB
05 - Article Spinner (Intermediate)/001 Article Spinning - Problem Description_en.srt
11.0 kB
04 - Markov Models (Intermediate)/004 Probability Smoothing and Log-Probabilities_en.srt
10.5 kB
09 - Sentiment Analysis/001 Sentiment Analysis - Problem Description_en.srt
10.1 kB
09 - Sentiment Analysis/007 Sentiment Analysis in Python (pt 2)_en.srt
10.0 kB
04 - Markov Models (Intermediate)/002 The Markov Property_en.srt
9.7 kB
04 - Markov Models (Intermediate)/005 Building a Text Classifier (Theory)_en.srt
9.7 kB
06 - Cipher Decryption (Advanced)/007 Code pt 2_en.srt
9.5 kB
04 - Markov Models (Intermediate)/010 Language Model (Exercise Prompt)_en.srt
9.2 kB
06 - Cipher Decryption (Advanced)/010 Code pt 5_en.srt
9.0 kB
04 - Markov Models (Intermediate)/006 Building a Text Classifier (Exercise Prompt)_en.srt
9.0 kB
08 - Spam Detection/001 Spam Detection - Problem Description_en.srt
8.9 kB
09 - Sentiment Analysis/003 Multiclass Logistic Regression (pt 2)_en.srt
8.7 kB
06 - Cipher Decryption (Advanced)/012 Section Conclusion_en.srt
8.5 kB
05 - Article Spinner (Intermediate)/003 Article Spinner Exercise Prompt_en.srt
7.8 kB
05 - Article Spinner (Intermediate)/006 Case Study Article Spinning Gone Wrong_en.srt
7.7 kB
06 - Cipher Decryption (Advanced)/011 Code pt 6_en.srt
7.4 kB
01 - Introduction/003 Are You Beginner, Intermediate, or Advanced All are OK!_en.srt
7.4 kB
06 - Cipher Decryption (Advanced)/005 Code Preparation_en.srt
6.9 kB
06 - Cipher Decryption (Advanced)/001 Section Introduction_en.srt
6.8 kB
02 - Vector Models and Text Preprocessing/002 Basic Definitions for NLP_en.srt
6.8 kB
03 - Probabilistic Models (Introduction)/001 Probabilistic Models (Introduction)_en.srt
6.4 kB
07 - Machine Learning Models (Introduction)/001 Machine Learning Models (Introduction)_en.srt
6.4 kB
02 - Vector Models and Text Preprocessing/007 Stopwords_en.srt
6.4 kB
06 - Cipher Decryption (Advanced)/008 Code pt 3_en.srt
6.3 kB
05 - Article Spinner (Intermediate)/002 Article Spinning - N-Gram Approach_en.srt
5.3 kB
09 - Sentiment Analysis/005 Sentiment Analysis - Exercise Prompt_en.srt
5.2 kB
02 - Vector Models and Text Preprocessing/001 Vector Models & Text Preprocessing Intro_en.srt
5.1 kB
06 - Cipher Decryption (Advanced)/009 Code pt 4_en.srt
5.0 kB
06 - Cipher Decryption (Advanced)/002 Ciphers_en.srt
4.9 kB
02 - Vector Models and Text Preprocessing/019 Vector Models & Text Preprocessing Summary_en.srt
4.9 kB
06 - Cipher Decryption (Advanced)/006 Code pt 1_en.srt
4.2 kB
04 - Markov Models (Intermediate)/013 Markov Models Section Summary_en.srt
4.1 kB
04 - Markov Models (Intermediate)/001 Markov Models Section Introduction_en.srt
3.5 kB
02 - Vector Models and Text Preprocessing/013 (Interactive) Recommender Exercise Prompt_en.srt
3.3 kB
02 - Vector Models and Text Preprocessing/004 Bag of Words_en.srt
3.2 kB
08 - Spam Detection/003 Spam Detection - Exercise Prompt_en.srt
2.7 kB
10 - Extras/001 Colab Notebooks.html
572 Bytes
01 - Introduction/external-assets-links.txt
223 Bytes
0. Websites you may like/[CourseClub.ME].url
122 Bytes
03 - Probabilistic Models (Introduction)/[CourseClub.Me].url
122 Bytes
05 - Article Spinner (Intermediate)/[CourseClub.Me].url
122 Bytes
08 - Spam Detection/[CourseClub.Me].url
122 Bytes
[CourseClub.Me].url
122 Bytes
0. Websites you may like/[GigaCourse.Com].url
49 Bytes
03 - Probabilistic Models (Introduction)/[GigaCourse.Com].url
49 Bytes
05 - Article Spinner (Intermediate)/[GigaCourse.Com].url
49 Bytes
08 - Spam Detection/[GigaCourse.Com].url
49 Bytes
[GigaCourse.Com].url
49 Bytes
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