[UdemyCourseDownloader] Data Science Natural Language Processing (NLP) in Python
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| Torrent Size : | 1.64 GB |
[UdemyCourseDownloader] Data Science Natural Language Processing (NLP) in Python
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Torrent File Content (125 files)
[UdemyCourseDownloader] Data Science Natural Language Processing (NLP) in Python
10. Appendix
2. Windows-Focused Environment Setup 2018.mp4 -
10. Appendix
2. Windows-Focused Environment Setup 2018.mp4 -
186.47 MB
udemycoursedownloader.com.url -
132 bytes
01. Natural Language Processing - What is it used for
1. Introduction and Outline.mp4 -
1. Introduction and Outline.mp4 -
2.51 MB
1. Introduction and Outline.vtt -
7.49 KB
2. NLP Applications.mp4 -
5.72 MB
2. NLP Applications.vtt -
14.07 KB
3. Why is NLP hard.mp4 -
7.13 MB
3. Why is NLP hard.vtt -
8.31 KB
4. The Central Message of this Course.mp4 -
3.15 MB
4. The Central Message of this Course.vtt -
6.36 KB
02. Course Preparation
1. How to Succeed in this Course.mp4 -
1. How to Succeed in this Course.mp4 -
3.3 MB
1. How to Succeed in this Course.vtt -
7.14 KB
2. Where to get the code and data.mp4 -
4.43 MB
2. Where to get the code and data.vtt -
5.57 KB
3. Do you need a review of machine learning.mp4 -
13.39 MB
3. Do you need a review of machine learning.vtt -
6.2 KB
03. Build your own spam detector
1. Build your own spam detector - description of data.mp4 -
1. Build your own spam detector - description of data.mp4 -
1.9 MB
1. Build your own spam detector - description of data.vtt -
4.57 KB
2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4 -
6.54 MB
2. Build your own spam detector using Naive Bayes and AdaBoost - the code.vtt -
9.98 KB
3. Key Takeaway from Spam Detection Exercise.mp4 -
30.59 MB
3. Key Takeaway from Spam Detection Exercise.vtt -
13.32 KB
4. Naive Bayes Concepts.mp4 -
39.65 MB
4. Naive Bayes Concepts.vtt -
20.48 KB
5. AdaBoost Concepts.mp4 -
26.75 MB
5. AdaBoost Concepts.vtt -
10.95 KB
6. Other types of features.mp4 -
1.42 MB
6. Other types of features.vtt -
3.19 KB
7. Spam Detection FAQ (Remedial #1).mp4 -
10.67 MB
7. Spam Detection FAQ (Remedial #1).vtt -
20.65 KB
8. What is a Vector (Remedial #2).mp4 -
9.07 MB
8. What is a Vector (Remedial #2).vtt -
13.73 KB
9. SMS Spam Example.mp4 -
5.71 MB
9. SMS Spam Example.vtt -
13.88 KB
10. SMS Spam in Code.mp4 -
13.92 MB
10. SMS Spam in Code.vtt -
19.11 KB
04. Build your own sentiment analyzer
1. Description of Sentiment Analyzer.mp4 -
1. Description of Sentiment Analyzer.mp4 -
5.06 MB
1. Description of Sentiment Analyzer.vtt -
7.18 KB
2. Logistic Regression Review.mp4 -
12.2 MB
2. Logistic Regression Review.vtt -
16.49 KB
3. Preprocessing Tokenization.mp4 -
7.73 MB
3. Preprocessing Tokenization.vtt -
10.12 KB
4. Preprocessing Tokens to Vectors.mp4 -
10.55 MB
4. Preprocessing Tokens to Vectors.vtt -
12.68 KB
5. Sentiment Analysis in Python using Logistic Regression.mp4 -
43.54 MB
5. Sentiment Analysis in Python using Logistic Regression.vtt -
13.95 KB
6. Sentiment Analysis Extension.mp4 -
5.16 MB
6. Sentiment Analysis Extension.vtt -
13.39 KB
7. How to Improve Sentiment Analysis & FAQ.mp4 -
77.73 MB
7. How to Improve Sentiment Analysis & FAQ.vtt -
28.56 KB
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