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TORRENT DETAILS

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

TORRENT SUMMARY

	Status:	This torrent has NOT been verified.
Category:	Other
Infohash	44ffa02a7ead9b8cbcc87204e536a1177dbccf21
Size:	1.6 GB in 99 files
Release Date(s):	Torrent Release: 15-06-2019 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

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FILE LIST

Filename		Size
	1. Natural Language Processing - What is it used for/1. Introduction and Outline.mp4	2.5 MB
	1. Natural Language Processing - What is it used for/1. Introduction and Outline.vtt	7.5 KB
	1. Natural Language Processing - What is it used for/2. NLP Applications.mp4	5.7 MB
	1. Natural Language Processing - What is it used for/2. NLP Applications.vtt	14.1 KB
	1. Natural Language Processing - What is it used for/3. Why is NLP hard.mp4	7.1 MB
	1. Natural Language Processing - What is it used for/3. Why is NLP hard.vtt	8.3 KB
	1. Natural Language Processing - What is it used for/4. The Central Message of this Course.mp4	3.2 MB
	1. Natural Language Processing - What is it used for/4. The Central Message of this Course.vtt	6.4 KB
	10. Appendix/1. What is the Appendix.mp4	5.5 MB
	10. Appendix/1. What is the Appendix.vtt	6 KB
	10. Appendix/10. What order should I take your courses in (part 1).mp4	29.3 MB
	10. Appendix/10. What order should I take your courses in (part 1).vtt	28 KB
	10. Appendix/11. What order should I take your courses in (part 2).mp4	37.6 MB
	10. Appendix/11. What order should I take your courses in (part 2).vtt	41.7 KB
	10. Appendix/2. Windows-Focused Environment Setup 2018.mp4	186.5 MB
	10. Appendix/2. Windows-Focused Environment Setup 2018.vtt	33.7 KB
	10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	43.9 MB
	10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	14.6 KB
	10. Appendix/4. How to Code by Yourself (part 1).mp4	24.5 MB
	10. Appendix/4. How to Code by Yourself (part 1).vtt	38.9 KB
	10. Appendix/5. How to Code by Yourself (part 2).mp4	14.8 MB
	10. Appendix/5. How to Code by Yourself (part 2).vtt	22.9 KB
	10. Appendix/6. How to Succeed in this Course (Long Version).mp4	13 MB
	10. Appendix/6. How to Succeed in this Course (Long Version).vtt	24.5 KB
	10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	39 MB
	10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	54.7 KB
	10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4	78.3 MB
	10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt	23.6 KB
	10. Appendix/9. Python 2 vs Python 3.mp4	7.8 MB
	10. Appendix/9. Python 2 vs Python 3.vtt	10.4 KB
	2. Course Preparation/1. How to Succeed in this Course.mp4	3.3 MB
	2. Course Preparation/1. How to Succeed in this Course.vtt	7.1 KB
	2. Course Preparation/2. Where to get the code and data.mp4	4.4 MB
	2. Course Preparation/2. Where to get the code and data.vtt	5.6 KB
	2. Course Preparation/3. Do you need a review of machine learning.mp4	13.4 MB
	2. Course Preparation/3. Do you need a review of machine learning.vtt	6.2 KB
	3. Build your own spam detector/1. Build your own spam detector - description of data.mp4	1.9 MB
	3. Build your own spam detector/1. Build your own spam detector - description of data.vtt	4.6 KB
	3. Build your own spam detector/10. SMS Spam in Code.mp4	13.9 MB
	3. Build your own spam detector/10. SMS Spam in Code.vtt	19.1 KB
	3. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4	6.5 MB
	3. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.vtt	10 KB
	3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4	30.6 MB
	3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.vtt	13.3 KB
	3. Build your own spam detector/4. Naive Bayes Concepts.mp4	39.7 MB
	3. Build your own spam detector/4. Naive Bayes Concepts.vtt	20.5 KB
	3. Build your own spam detector/5. AdaBoost Concepts.mp4	26.8 MB
	3. Build your own spam detector/5. AdaBoost Concepts.vtt	11 KB
	3. Build your own spam detector/6. Other types of features.mp4	1.4 MB
	3. Build your own spam detector/6. Other types of features.vtt	3.2 KB
	3. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp4	10.7 MB
	3. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).vtt	20.7 KB
	3. Build your own spam detector/8. What is a Vector (Remedial #2).mp4	9.1 MB
	3. Build your own spam detector/8. What is a Vector (Remedial #2).vtt	13.7 KB
	3. Build your own spam detector/9. SMS Spam Example.mp4	5.7 MB
	3. Build your own spam detector/9. SMS Spam Example.vtt	13.9 KB
	4. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp4	5.1 MB
	4. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.vtt	7.2 KB
	4. Build your own sentiment analyzer/2. Logistic Regression Review.mp4	12.2 MB
	4. Build your own sentiment analyzer/2. Logistic Regression Review.vtt	16.5 KB
	4. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp4	7.7 MB
	4. Build your own sentiment analyzer/3. Preprocessing Tokenization.vtt	10.1 KB
	4. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp4	10.5 MB
	4. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.vtt	12.7 KB
	4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4	43.5 MB
	4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.vtt	14 KB
	4. Build your own sentiment analyzer/6. Sentiment Analysis Extension.mp4	5.2 MB
	4. Build your own sentiment analyzer/6. Sentiment Analysis Extension.vtt	13.4 KB
	4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4	77.7 MB
	4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.vtt	28.6 KB
	5. NLTK Exploration/1. NLTK Exploration POS Tagging.mp4	2 MB
	5. NLTK Exploration/1. NLTK Exploration POS Tagging.vtt	3.7 KB
	5. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.mp4	3.7 MB
	5. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.vtt	2.7 KB
	5. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp4	6.7 MB
	5. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.vtt	2 KB
	5. NLTK Exploration/4. Want more NLTK.mp4	8.4 MB
	5. NLTK Exploration/4. Want more NLTK.vtt	4.1 KB
	6. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp4	3.9 MB
	6. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.vtt	3.1 KB
	6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4	78.2 MB
	6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.vtt	33.9 KB
	6. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.mp4	25.4 MB
	6. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.vtt	6.6 KB
	6. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.mp4	16.9 MB
	6. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.vtt	21.2 KB
	6. Latent Semantic Analysis/5. Extending LSA.mp4	10.9 MB
	6. Latent Semantic Analysis/5. Extending LSA.vtt	13.4 KB
	7. Write your own article spinner/1. Article Spinning Introduction and Markov Models.mp4	4.7 MB
	7. Write your own article spinner/1. Article Spinning Introduction and Markov Models.vtt	3.6 KB
	7. Write your own article spinner/2. More about Language Models.mp4	36.6 MB
	7. Write your own article spinner/2. More about Language Models.vtt	20.7 KB
	7. Write your own article spinner/3. Trigram Model.mp4	3.9 MB
	7. Write your own article spinner/3. Trigram Model.vtt	2.8 KB
	7. Write your own article spinner/4. Precode Exercises.mp4	19.8 MB
	7. Write your own article spinner/4. Precode Exercises.vtt	10.2 KB
	7. Write your own article spinner/5. Writing an article spinner in Python.mp4	26 MB
	7. Write your own article spinner/5. Writing an article spinner in Python.vtt	8.5 KB
	7. Write your own article spinner/6. Article Spinner Extension Exercises.mp4	23.7 MB

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