UdemyCourseDownloader Data Science Natural Language Processing NLP in Python

UdemyCourseDownloader Data Science Natural Language Processing NLP in Python

Name	[UdemyCourseDownloader] Data Science Natural Language Processing (NLP) in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.8 GB
Total Files	125
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Hash	DBDE36DBE95AE354CD2F7F9FA312917C54D2C2F4

/10. Appendix/
2. Windows-Focused Environment Setup 2018.mp4	195.5 MB

udemycoursedownloader.com.url	0.1 KB
Udemy Course downloader.txt	0.1 KB
01. Natural Language Processing - What is it used for/
1. Introduction and Outline.mp4	2.6 MB
1. Introduction and Outline.vtt	7.7 KB
2. NLP Applications.mp4	6.0 MB
2. NLP Applications.vtt	14.4 KB
3. Why is NLP hard.mp4	7.5 MB
3. Why is NLP hard.vtt	8.5 KB
4. The Central Message of this Course.mp4	3.3 MB
4. The Central Message of this Course.vtt	6.5 KB
02. Course Preparation/
1. How to Succeed in this Course.mp4	3.5 MB
1. How to Succeed in this Course.vtt	7.3 KB
2. Where to get the code and data.mp4	4.6 MB
2. Where to get the code and data.vtt	5.7 KB
3. Do you need a review of machine learning.mp4	14.0 MB
3. Do you need a review of machine learning.vtt	6.4 KB
03. Build your own spam detector/
1. Build your own spam detector - description of data.mp4	2.0 MB
1. Build your own spam detector - description of data.vtt	4.7 KB
2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4	6.9 MB
2. Build your own spam detector using Naive Bayes and AdaBoost - the code.vtt	10.2 KB
3. Key Takeaway from Spam Detection Exercise.mp4	32.1 MB
3. Key Takeaway from Spam Detection Exercise.vtt	13.6 KB
4. Naive Bayes Concepts.mp4	41.6 MB
4. Naive Bayes Concepts.vtt	21.0 KB
5. AdaBoost Concepts.mp4	28.1 MB
5. AdaBoost Concepts.vtt	11.2 KB
6. Other types of features.mp4	1.5 MB
6. Other types of features.vtt	3.3 KB
7. Spam Detection FAQ (Remedial #1).mp4	11.2 MB
7. Spam Detection FAQ (Remedial #1).vtt	21.1 KB
8. What is a Vector (Remedial #2).mp4	9.5 MB
8. What is a Vector (Remedial #2).vtt	14.1 KB
9. SMS Spam Example.mp4	6.0 MB
9. SMS Spam Example.vtt	14.2 KB
10. SMS Spam in Code.mp4	14.6 MB
10. SMS Spam in Code.vtt	19.6 KB
04. Build your own sentiment analyzer/
1. Description of Sentiment Analyzer.mp4	5.3 MB
1. Description of Sentiment Analyzer.vtt	7.4 KB
2. Logistic Regression Review.mp4	12.8 MB
2. Logistic Regression Review.vtt	16.9 KB
3. Preprocessing Tokenization.mp4	8.1 MB
3. Preprocessing Tokenization.vtt	10.4 KB
4. Preprocessing Tokens to Vectors.mp4	11.1 MB
4. Preprocessing Tokens to Vectors.vtt	13.0 KB
5. Sentiment Analysis in Python using Logistic Regression.mp4	45.7 MB
5. Sentiment Analysis in Python using Logistic Regression.vtt	14.3 KB
6. Sentiment Analysis Extension.mp4	5.4 MB
6. Sentiment Analysis Extension.vtt	13.7 KB
7. How to Improve Sentiment Analysis & FAQ.mp4	81.5 MB
7. How to Improve Sentiment Analysis & FAQ.vtt	29.2 KB
05. NLTK Exploration/
1. NLTK Exploration POS Tagging.mp4	2.1 MB
1. NLTK Exploration POS Tagging.vtt	3.8 KB
2. NLTK Exploration Stemming and Lemmatization.mp4	3.8 MB
2. NLTK Exploration Stemming and Lemmatization.vtt	2.7 KB
3. NLTK Exploration Named Entity Recognition.mp4	7.0 MB
3. NLTK Exploration Named Entity Recognition.vtt	2.0 KB
4. Want more NLTK.mp4	8.9 MB
4. Want more NLTK.vtt	4.2 KB
06. Latent Semantic Analysis/
1. Latent Semantic Analysis - What does it do.mp4	4.1 MB
1. Latent Semantic Analysis - What does it do.vtt	3.2 KB
2. SVD - The underlying math behind LSA.mp4	82.0 MB
2. SVD - The underlying math behind LSA.vtt	23.4 KB
3. Latent Semantic Analysis in Python.mp4	26.7 MB
3. Latent Semantic Analysis in Python.vtt	6.8 KB
4. What is Latent Semantic Analysis Used For.mp4	17.7 MB
4. What is Latent Semantic Analysis Used For.vtt	21.7 KB
5. Extending LSA.mp4	11.4 MB
5. Extending LSA.vtt	13.7 KB
07. Write your own article spinner/
1. Article Spinning Introduction and Markov Models.mp4	4.9 MB
1. Article Spinning Introduction and Markov Models.vtt	3.7 KB
2. More about Language Models.mp4	38.4 MB
2. More about Language Models.vtt	21.2 KB
3. Trigram Model.mp4	4.0 MB
3. Trigram Model.vtt	2.9 KB
4. Precode Exercises.mp4	20.7 MB
4. Precode Exercises.vtt	10.4 KB
5. Writing an article spinner in Python.mp4	27.2 MB
5. Writing an article spinner in Python.vtt	8.7 KB
6. Article Spinner Extension Exercises.mp4	24.8 MB
6. Article Spinner Extension Exercises.vtt	11.8 KB
08. How to learn more about NLP/
1. What we didn't talk about.mp4	4.5 MB
1. What we didn't talk about.vtt	3.5 KB
09. Machine Learning Basics Review/
1. (Review) Machine Learning Section Introduction.mp4	47.0 MB
1. (Review) Machine Learning Section Introduction.vtt	19.9 KB
2. (Review) What is Classification.mp4	74.1 MB
3. (Review) Classification in Code.mp4	146.3 MB
3. (Review) Classification in Code.vtt	29.3 KB
4. (Review) What is Regression.mp4	52.0 MB
4. (Review) What is Regression.vtt	28.7 KB
5. (Review) Regression in Code.mp4	72.7 MB
5. (Review) Regression in Code.vtt	17.3 KB
6. (Review) What is a Feature Vector.mp4	39.8 MB
6. (Review) What is a Feature Vector.vtt	16.0 KB
7. (Review) Machine Learning is Nothing but Geometry.mp4	23.8 MB
7. (Review) Machine Learning is Nothing but Geometry.vtt	10.8 KB
8. (Review) All Data is the Same.mp4	26.0 MB
8. (Review) All Data is the Same.vtt	12.2 KB
9. (Review) Comparing Different Machine Learning Models.mp4	56.2 MB
9. (Review) Comparing Different Machine Learning Models.vtt	23.8 KB
10. (Review) Machine Learning and Deep Learning Future Topics.mp4	42.8 MB
10. (Review) Machine Learning and Deep Learning Future Topics.vtt	14.1 KB
11. (Review) Section Summary.mp4	26.0 MB
11. (Review) Section Summary.vtt	13.8 KB
10. Appendix/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.vtt	6.2 KB
2. Windows-Focused Environment Setup 2018.vtt	34.5 KB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.0 MB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	14.9 KB
4. How to Code by Yourself (part 1).mp4	25.7 MB
4. How to Code by Yourself (part 1).vtt	39.8 KB
5. How to Code by Yourself (part 2).mp4	15.5 MB
5. How to Code by Yourself (part 2).vtt	23.5 KB
6. How to Succeed in this Course (Long Version).mp4	13.6 MB
6. How to Succeed in this Course (Long Version).vtt	25.1 KB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.9 MB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	56.0 KB
8. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
8. Proof that using Jupyter Notebook is the same as not using it.vtt	24.1 KB
9. Python 2 vs Python 3.mp4	8.2 MB
9. Python 2 vs Python 3.vtt	10.7 KB
10. What order should I take your courses in (part 1).mp4	30.7 MB
10. What order should I take your courses in (part 1).vtt	28.7 KB
11. What order should I take your courses in (part 2).mp4	39.4 MB
11. What order should I take your courses in (part 2).vtt	42.7 KB
Total files 125