DesireCourse Net Udemy Data Science Natural Language Processing NLP in Python

DesireCourse Net Udemy Data Science Natural Language Processing NLP in Python

Name	[DesireCourse.Net] Udemy - Data Science Natural Language Processing (NLP) in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.3 GB
Total Files	154
Hash	2AFFDFFE947924612CCFC0842743F4711B0A24FC

/1. Natural Language Processing - What is it used for/
1. Introduction and Outline.mp4	2.6 MB
1. Introduction and Outline.srt	4.1 KB
2. NLP Applications.mp4	6.0 MB
2. NLP Applications.srt	8.6 KB
3. Why is NLP hard.mp4	7.5 MB
3. Why is NLP hard.srt	4.8 KB
4. The Central Message of this Course.mp4	3.3 MB
4. The Central Message of this Course.srt	3.5 KB
/10. Machine Learning Basics Review/
1. (Review) Machine Learning Section Introduction.mp4	47.0 MB
1. (Review) Machine Learning Section Introduction.srt	11.3 KB
10. (Review) Machine Learning and Deep Learning Future Topics.mp4	42.9 MB
10. (Review) Machine Learning and Deep Learning Future Topics.srt	8.1 KB
11. (Review) Section Summary.mp4	26.0 MB
11. (Review) Section Summary.srt	8.1 KB
2. (Review) What is Classification.mp4	74.1 MB
2. (Review) What is Classification.srt	16.9 KB
3. (Review) Classification in Code.mp4	146.3 MB
3. (Review) Classification in Code.srt	17.2 KB
4. (Review) What is Regression.mp4	52.0 MB
4. (Review) What is Regression.srt	17.2 KB
5. (Review) Regression in Code.mp4	72.7 MB
5. (Review) Regression in Code.srt	10.1 KB
6. (Review) What is a Feature Vector.mp4	39.8 MB
6. (Review) What is a Feature Vector.srt	9.1 KB
7. (Review) Machine Learning is Nothing but Geometry.mp4	23.8 MB
7. (Review) Machine Learning is Nothing but Geometry.srt	6.3 KB
8. (Review) All Data is the Same.mp4	26.0 MB
8. (Review) All Data is the Same.srt	7.3 KB
9. (Review) Comparing Different Machine Learning Models.mp4	56.2 MB
9. (Review) Comparing Different Machine Learning Models.srt	13.5 KB
/11. Appendix FAQ/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.srt	3.8 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).srt	16.4 KB
11. What order should I take your courses in (part 2).mp4	39.5 MB
11. What order should I take your courses in (part 2).srt	23.6 KB
12. BONUS Where to get discount coupons and FREE deep learning material.mp4	39.7 MB
12. BONUS Where to get discount coupons and FREE deep learning material.srt	8.1 KB
2. Windows-Focused Environment Setup 2018.mp4	195.5 MB
2. Windows-Focused Environment Setup 2018.srt	20.6 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.srt	17.2 KB
4. How to Code by Yourself (part 1).mp4	25.7 MB
4. How to Code by Yourself (part 1).srt	23.3 KB
5. How to Code by Yourself (part 2).mp4	15.5 MB
5. How to Code by Yourself (part 2).srt	13.6 KB
6. How to Succeed in this Course (Long Version).mp4	13.6 MB
6. How to Succeed in this Course (Long Version).srt	15.0 KB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.8 MB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	0.0 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.srt	14.5 KB
9. Python 2 vs Python 3.mp4	8.2 MB
9. Python 2 vs Python 3.srt	6.2 KB
/2. Course Preparation/
1. How to Succeed in this Course.mp4	3.5 MB
1. How to Succeed in this Course.srt	4.1 KB
2. Where to get the code and data.mp4	4.7 MB
2. Where to get the code and data.srt	3.5 KB
3. Do you need a review of machine learning.mp4	14.1 MB
3. Do you need a review of machine learning.srt	3.7 KB
/3. Decrypting Ciphers/
1. Section Introduction.mp4	27.6 MB
1. Section Introduction.srt	6.8 KB
10. Code pt 4.mp4	26.9 MB
10. Code pt 4.srt	5.0 KB
11. Code pt 5.mp4	42.9 MB
11. Code pt 5.srt	8.9 KB
12. Code pt 6.mp4	41.3 MB
12. Code pt 6.srt	7.2 KB
13. Section Conclusion.mp4	25.4 MB
13. Section Conclusion.srt	9.4 MB
2. Ciphers.mp4	18.0 MB
2. Ciphers.srt	4.9 KB
3. Language Models.mp4	68.8 MB
3. Language Models.srt	21.1 KB
4. Genetic Algorithms.mp4	110.3 MB
4. Genetic Algorithms.srt	29.6 KB
5. Code Preparation.mp4	21.7 MB
5. Code Preparation.srt	6.9 KB
6. Link to Cipher Notebook.html	0.2 KB
7. Code pt 1.mp4	16.7 MB
7. Code pt 1.srt	4.2 KB
8. Code pt 2.mp4	41.0 MB
8. Code pt 2.srt	9.3 KB
9. Code pt 3.mp4	31.0 MB
9. Code pt 3.srt	6.3 KB
/4. 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.srt	2.7 KB
10. SMS Spam in Code.mp4	14.6 MB
10. SMS Spam in Code.srt	11.5 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.srt	6.0 KB
3. Key Takeaway from Spam Detection Exercise.mp4	32.1 MB
3. Key Takeaway from Spam Detection Exercise.srt	8.0 KB
4. Naive Bayes Concepts.mp4	41.6 MB
4. Naive Bayes Concepts.srt	12.1 KB
5. AdaBoost Concepts.mp4	28.1 MB
5. AdaBoost Concepts.srt	6.5 KB
6. Other types of features.mp4	1.5 MB
6. Other types of features.srt	1.9 KB
7. Spam Detection FAQ (Remedial #1).mp4	11.2 MB
7. Spam Detection FAQ (Remedial #1).srt	11.6 KB
8. What is a Vector (Remedial #2).mp4	9.5 MB
8. What is a Vector (Remedial #2).srt	8.0 KB
9. SMS Spam Example.mp4	6.0 MB
9. SMS Spam Example.srt	8.3 KB
/5. Build your own sentiment analyzer/
1. Description of Sentiment Analyzer.mp4	5.3 MB
1. Description of Sentiment Analyzer.srt	4.3 KB
2. Logistic Regression Review.mp4	12.8 MB
2. Logistic Regression Review.srt	10.0 KB
3. Preprocessing Tokenization.mp4	8.1 MB
3. Preprocessing Tokenization.srt	6.4 KB
4. Preprocessing Tokens to Vectors.mp4	11.1 MB
4. Preprocessing Tokens to Vectors.srt	7.9 KB
5. Sentiment Analysis in Python using Logistic Regression.mp4	45.7 MB
5. Sentiment Analysis in Python using Logistic Regression.srt	16.5 KB
6. Sentiment Analysis Extension.mp4	5.4 MB
6. Sentiment Analysis Extension.srt	7.8 KB
7. How to Improve Sentiment Analysis & FAQ.mp4	81.5 MB
7. How to Improve Sentiment Analysis & FAQ.srt	16.8 KB
/6. NLTK Exploration/
1. NLTK Exploration POS Tagging.mp4	2.1 MB
1. NLTK Exploration POS Tagging.srt	2.0 KB
2. NLTK Exploration Stemming and Lemmatization.mp4	3.8 MB
2. NLTK Exploration Stemming and Lemmatization.srt	1.7 KB
3. NLTK Exploration Named Entity Recognition.mp4	7.0 MB
3. NLTK Exploration Named Entity Recognition.srt	2.3 KB
4. Want more NLTK.mp4	8.9 MB
4. Want more NLTK.srt	2.5 KB
/7. Latent Semantic Analysis/
1. Latent Semantic Analysis - What does it do.mp4	4.1 MB
1. Latent Semantic Analysis - What does it do.srt	3.6 KB
2. SVD - The underlying math behind LSA.mp4	82.0 MB
2. SVD - The underlying math behind LSA.srt	20.0 KB
3. Latent Semantic Analysis in Python.mp4	26.7 MB
3. Latent Semantic Analysis in Python.srt	7.7 KB
4. What is Latent Semantic Analysis Used For.mp4	17.7 MB
4. What is Latent Semantic Analysis Used For.srt	12.8 KB
5. Extending LSA.mp4	11.4 MB
5. Extending LSA.srt	7.8 KB
/8. Write your own article spinner/
1. Article Spinning Introduction and Markov Models.mp4	4.9 MB
1. Article Spinning Introduction and Markov Models.srt	4.2 KB
2. Trigram Model.mp4	4.0 MB
2. Trigram Model.srt	3.2 KB
3. More about Language Models.mp4	38.4 MB
3. More about Language Models.srt	12.6 KB
4. Precode Exercises.mp4	20.7 MB
4. Precode Exercises.srt	6.2 KB
5. Writing an article spinner in Python.mp4	27.2 MB
5. Writing an article spinner in Python.srt	10.0 KB
6. Article Spinner Extension Exercises.mp4	24.8 MB
6. Article Spinner Extension Exercises.srt	6.9 KB
/9. How to learn more about NLP/
1. What we didn't talk about.mp4	4.5 MB
1. What we didn't talk about.srt	3.9 KB
/
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
[FreeCourseWorld.Com].url	0.1 KB
Total files 154