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[FreeCourseSite com] Udemy - Data Science Natural Language Processing (NLP) in Python

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
44FFA02A7EAD9B8CBCC87204E536A1177DBCCF21
Source
Unverified
Total Size
1.64 GB
Total Files
100
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0
Leechers
1
Health
Score
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Type
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File List

FileSize
1. Natural Language Processing - What is it used for/1. Introduction and Outline.mp42.51 MB
1. Natural Language Processing - What is it used for/1. Introduction and Outline.vtt7.49 KB
1. Natural Language Processing - What is it used for/2. NLP Applications.mp45.72 MB
1. Natural Language Processing - What is it used for/2. NLP Applications.vtt14.07 KB
1. Natural Language Processing - What is it used for/3. Why is NLP hard.mp47.13 MB
1. Natural Language Processing - What is it used for/3. Why is NLP hard.vtt8.31 KB
1. Natural Language Processing - What is it used for/4. The Central Message of this Course.mp43.15 MB
1. Natural Language Processing - What is it used for/4. The Central Message of this Course.vtt6.36 KB
10. Appendix/1. What is the Appendix.mp45.45 MB
10. Appendix/1. What is the Appendix.vtt6.03 KB
10. Appendix/10. What order should I take your courses in (part 1).mp429.32 MB
10. Appendix/10. What order should I take your courses in (part 1).vtt28.02 KB
10. Appendix/11. What order should I take your courses in (part 2).mp437.62 MB
10. Appendix/11. What order should I take your courses in (part 2).vtt41.67 KB
10. Appendix/2. Windows-Focused Environment Setup 2018.mp4186.47 MB
10. Appendix/2. Windows-Focused Environment Setup 2018.vtt33.72 KB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt14.57 KB
10. Appendix/4. How to Code by Yourself (part 1).mp424.53 MB
10. Appendix/4. How to Code by Yourself (part 1).vtt38.85 KB
10. Appendix/5. How to Code by Yourself (part 2).mp414.81 MB
10. Appendix/5. How to Code by Yourself (part 2).vtt22.95 KB
10. Appendix/6. How to Succeed in this Course (Long Version).mp412.99 MB
10. Appendix/6. How to Succeed in this Course (Long Version).vtt24.52 KB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.96 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt54.69 KB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp478.28 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt23.57 KB
10. Appendix/9. Python 2 vs Python 3.mp47.83 MB
10. Appendix/9. Python 2 vs Python 3.vtt10.44 KB
2. Course Preparation/1. How to Succeed in this Course.mp43.3 MB
2. Course Preparation/1. How to Succeed in this Course.vtt7.14 KB
2. Course Preparation/2. Where to get the code and data.mp44.43 MB
2. Course Preparation/2. Where to get the code and data.vtt5.57 KB
2. Course Preparation/3. Do you need a review of machine learning.mp413.39 MB
2. Course Preparation/3. Do you need a review of machine learning.vtt6.2 KB
3. Build your own spam detector/1. Build your own spam detector - description of data.mp41.9 MB
3. Build your own spam detector/1. Build your own spam detector - description of data.vtt4.57 KB
3. Build your own spam detector/10. SMS Spam in Code.mp413.92 MB
3. Build your own spam detector/10. SMS Spam in Code.vtt19.11 KB
3. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp46.54 MB
3. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.vtt9.98 KB
3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp430.59 MB
3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.vtt13.32 KB
3. Build your own spam detector/4. Naive Bayes Concepts.mp439.65 MB
3. Build your own spam detector/4. Naive Bayes Concepts.vtt20.48 KB
3. Build your own spam detector/5. AdaBoost Concepts.mp426.75 MB
3. Build your own spam detector/5. AdaBoost Concepts.vtt10.95 KB
3. Build your own spam detector/6. Other types of features.mp41.42 MB
3. Build your own spam detector/6. Other types of features.vtt3.19 KB
3. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp410.67 MB
3. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).vtt20.65 KB
3. Build your own spam detector/8. What is a Vector (Remedial #2).mp49.07 MB
3. Build your own spam detector/8. What is a Vector (Remedial #2).vtt13.73 KB
3. Build your own spam detector/9. SMS Spam Example.mp45.71 MB
3. Build your own spam detector/9. SMS Spam Example.vtt13.88 KB
4. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp45.06 MB
4. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.vtt7.18 KB
4. Build your own sentiment analyzer/2. Logistic Regression Review.mp412.2 MB
4. Build your own sentiment analyzer/2. Logistic Regression Review.vtt16.49 KB
4. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp47.73 MB
4. Build your own sentiment analyzer/3. Preprocessing Tokenization.vtt10.12 KB
4. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp410.55 MB
4. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.vtt12.68 KB
4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp443.54 MB
4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.vtt13.95 KB
4. Build your own sentiment analyzer/6. Sentiment Analysis Extension.mp45.16 MB
4. Build your own sentiment analyzer/6. Sentiment Analysis Extension.vtt13.39 KB
4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp477.73 MB
4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.vtt28.56 KB
5. NLTK Exploration/1. NLTK Exploration POS Tagging.mp42.03 MB
5. NLTK Exploration/1. NLTK Exploration POS Tagging.vtt3.69 KB
5. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.mp43.66 MB
5. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.vtt2.67 KB
5. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp46.66 MB
5. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.vtt1.96 KB
5. NLTK Exploration/4. Want more NLTK.mp48.45 MB
5. NLTK Exploration/4. Want more NLTK.vtt4.14 KB
6. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp43.92 MB
6. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.vtt3.09 KB
6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp478.21 MB
6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.vtt33.92 KB
6. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.mp425.44 MB
6. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.vtt6.61 KB
6. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.mp416.88 MB
6. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.vtt21.23 KB
6. Latent Semantic Analysis/5. Extending LSA.mp410.91 MB
6. Latent Semantic Analysis/5. Extending LSA.vtt13.42 KB
7. Write your own article spinner/1. Article Spinning Introduction and Markov Models.mp44.66 MB
7. Write your own article spinner/1. Article Spinning Introduction and Markov Models.vtt3.61 KB
7. Write your own article spinner/2. More about Language Models.mp436.63 MB
7. Write your own article spinner/2. More about Language Models.vtt20.72 KB
7. Write your own article spinner/3. Trigram Model.mp43.85 MB
7. Write your own article spinner/3. Trigram Model.vtt2.79 KB
7. Write your own article spinner/4. Precode Exercises.mp419.77 MB
7. Write your own article spinner/4. Precode Exercises.vtt10.16 KB
7. Write your own article spinner/5. Writing an article spinner in Python.mp425.95 MB
7. Write your own article spinner/5. Writing an article spinner in Python.vtt8.49 KB
7. Write your own article spinner/6. Article Spinner Extension Exercises.mp423.68 MB
7. Write your own article spinner/6. Article Spinner Extension Exercises.vtt11.54 KB

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