[DesireCourse.Net] Udemy - Data Science Natural Language Processing (NLP) in Python

Creation Time	March 6, 2023, 8:12 a.m.
Last Access Time	June 1, 2026, 10:04 a.m.
File Size	2.1 GB
Keywords	in NLP Natural Language Python Science Processing - Udemy DesireCourse Net Data
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Total Files	154
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11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 186.5 MB
10. Machine Learning Basics Review/3. (Review) Classification in Code.mp4 139.5 MB
3. Decrypting Ciphers/4. Genetic Algorithms.mp4 105.2 MB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
7. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 78.2 MB
5. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 77.7 MB
10. Machine Learning Basics Review/2. (Review) What is Classification.mp4 70.7 MB
10. Machine Learning Basics Review/5. (Review) Regression in Code.mp4 69.4 MB
3. Decrypting Ciphers/3. Language Models.mp4 65.6 MB
10. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4 53.6 MB
10. Machine Learning Basics Review/4. (Review) What is Regression.mp4 49.6 MB
10. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4 44.9 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.9 MB
5. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 43.5 MB
3. Decrypting Ciphers/11. Code pt 5.mp4 40.9 MB
10. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4 40.9 MB
4. Build your own spam detector/4. Naive Bayes Concepts.mp4 39.7 MB
3. Decrypting Ciphers/12. Code pt 6.mp4 39.3 MB
3. Decrypting Ciphers/8. Code pt 2.mp4 39.1 MB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39.0 MB
10. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp4 38.0 MB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.8 MB
11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 37.6 MB
8. Write your own article spinner/3. More about Language Models.mp4 36.6 MB
4. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4 30.6 MB
3. Decrypting Ciphers/9. Code pt 3.mp4 29.5 MB
11. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 29.3 MB
4. Build your own spam detector/5. AdaBoost Concepts.mp4 26.8 MB
3. Decrypting Ciphers/1. Section Introduction.mp4 26.3 MB
8. Write your own article spinner/5. Writing an article spinner in Python.mp4 26.0 MB
3. Decrypting Ciphers/10. Code pt 4.mp4 25.7 MB
7. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.mp4 25.4 MB
10. Machine Learning Basics Review/11. (Review) Section Summary.mp4 24.8 MB
10. Machine Learning Basics Review/8. (Review) All Data is the Same.mp4 24.8 MB
11. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 24.5 MB
3. Decrypting Ciphers/13. Section Conclusion.mp4 24.3 MB
8. Write your own article spinner/6. Article Spinner Extension Exercises.mp4 23.7 MB
10. Machine Learning Basics Review/7. (Review) Machine Learning is Nothing but Geometry.mp4 22.7 MB
3. Decrypting Ciphers/5. Code Preparation.mp4 20.7 MB
8. Write your own article spinner/4. Precode Exercises.mp4 19.8 MB
3. Decrypting Ciphers/2. Ciphers.mp4 17.2 MB
7. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.mp4 16.9 MB
3. Decrypting Ciphers/7. Code pt 1.mp4 15.9 MB
11. Appendix FAQ/5. How to Code by Yourself (part 2).mp4 14.8 MB
4. Build your own spam detector/10. SMS Spam in Code.mp4 13.9 MB
2. Course Preparation/3. Do you need a review of machine learning.mp4 13.4 MB
11. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4 13.0 MB
5. Build your own sentiment analyzer/2. Logistic Regression Review.mp4 12.2 MB
7. Latent Semantic Analysis/5. Extending LSA.mp4 10.9 MB
4. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp4 10.7 MB
5. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp4 10.6 MB
4. Build your own spam detector/8. What is a Vector (Remedial #2).mp4 9.1 MB
3. Decrypting Ciphers/13. Section Conclusion.srt 8.9 MB
6. NLTK Exploration/4. Want more NLTK.mp4 8.4 MB
11. Appendix FAQ/9. Python 2 vs Python 3.mp4 7.8 MB
5. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp4 7.7 MB
1. Natural Language Processing - What is it used for/3. Why is NLP hard.mp4 7.1 MB
6. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp4 6.7 MB
4. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4 6.6 MB
1. Natural Language Processing - What is it used for/2. NLP Applications.mp4 5.7 MB
4. Build your own spam detector/9. SMS Spam Example.mp4 5.7 MB
11. Appendix FAQ/1. What is the Appendix.mp4 5.5 MB
5. Build your own sentiment analyzer/6. Sentiment Analysis Extension.mp4 5.2 MB
5. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp4 5.1 MB
8. Write your own article spinner/1. Article Spinning Introduction and Markov Models.mp4 4.7 MB
2. Course Preparation/2. Where to get the code and data.mp4 4.4 MB
9. How to learn more about NLP/1. What we didn't talk about.mp4 4.3 MB
7. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp4 3.9 MB
8. Write your own article spinner/2. Trigram Model.mp4 3.9 MB
6. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.mp4 3.7 MB
2. Course Preparation/1. How to Succeed in this Course.mp4 3.3 MB
1. Natural Language Processing - What is it used for/4. The Central Message of this Course.mp4 3.1 MB
1. Natural Language Processing - What is it used for/1. Introduction and Outline.mp4 2.5 MB
6. NLTK Exploration/1. NLTK Exploration POS Tagging.mp4 2.0 MB
4. Build your own spam detector/1. Build your own spam detector - description of data.mp4 1.9 MB
4. Build your own spam detector/6. Other types of features.mp4 1.4 MB
3. Decrypting Ciphers/4. Genetic Algorithms.srt 28.9 KB
11. Appendix FAQ/11. What order should I take your courses in (part 2).srt 23.0 KB
11. Appendix FAQ/4. How to Code by Yourself (part 1).srt 22.8 KB
3. Decrypting Ciphers/3. Language Models.srt 20.6 KB
11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.srt 20.1 KB
7. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.srt 19.6 KB
10. Machine Learning Basics Review/4. (Review) What is Regression.srt 16.8 KB
10. Machine Learning Basics Review/3. (Review) Classification in Code.srt 16.8 KB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 16.8 KB
10. Machine Learning Basics Review/2. (Review) What is Classification.srt 16.5 KB
5. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.srt 16.4 KB
5. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.srt 16.1 KB
11. Appendix FAQ/10. What order should I take your courses in (part 1).srt 16.0 KB
11. Appendix FAQ/6. How to Succeed in this Course (Long Version).srt 14.7 KB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.srt 14.1 KB
11. Appendix FAQ/5. How to Code by Yourself (part 2).srt 13.3 KB
10. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.srt 13.2 KB
7. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.srt 12.5 KB
8. Write your own article spinner/3. More about Language Models.srt 12.3 KB
4. Build your own spam detector/4. Naive Bayes Concepts.srt 11.8 KB
4. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).srt 11.4 KB
4. Build your own spam detector/10. SMS Spam in Code.srt 11.2 KB
10. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.srt 11.0 KB
10. Machine Learning Basics Review/5. (Review) Regression in Code.srt 9.8 KB
5. Build your own sentiment analyzer/2. Logistic Regression Review.srt 9.8 KB
8. Write your own article spinner/5. Writing an article spinner in Python.srt 9.8 KB
3. Decrypting Ciphers/8. Code pt 2.srt 9.1 KB
10. Machine Learning Basics Review/6. (Review) What is a Feature Vector.srt 8.9 KB
3. Decrypting Ciphers/11. Code pt 5.srt 8.7 KB
1. Natural Language Processing - What is it used for/2. NLP Applications.srt 8.4 KB
4. Build your own spam detector/9. SMS Spam Example.srt 8.1 KB
10. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.srt 7.9 KB
10. Machine Learning Basics Review/11. (Review) Section Summary.srt 7.9 KB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.srt 7.9 KB
4. Build your own spam detector/8. What is a Vector (Remedial #2).srt 7.9 KB
4. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.srt 7.8 KB
5. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.srt 7.7 KB
5. Build your own sentiment analyzer/6. Sentiment Analysis Extension.srt 7.6 KB
7. Latent Semantic Analysis/5. Extending LSA.srt 7.6 KB
7. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.srt 7.5 KB
10. Machine Learning Basics Review/8. (Review) All Data is the Same.srt 7.1 KB
3. Decrypting Ciphers/12. Code pt 6.srt 7.0 KB
3. Decrypting Ciphers/5. Code Preparation.srt 6.8 KB
8. Write your own article spinner/6. Article Spinner Extension Exercises.srt 6.7 KB
3. Decrypting Ciphers/1. Section Introduction.srt 6.6 KB
4. Build your own spam detector/5. AdaBoost Concepts.srt 6.3 KB
5. Build your own sentiment analyzer/3. Preprocessing Tokenization.srt 6.2 KB
10. Machine Learning Basics Review/7. (Review) Machine Learning is Nothing but Geometry.srt 6.2 KB
3. Decrypting Ciphers/9. Code pt 3.srt 6.2 KB
11. Appendix FAQ/9. Python 2 vs Python 3.srt 6.1 KB
8. Write your own article spinner/4. Precode Exercises.srt 6.1 KB
4. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.srt 5.8 KB
3. Decrypting Ciphers/10. Code pt 4.srt 4.9 KB
3. Decrypting Ciphers/2. Ciphers.srt 4.8 KB
1. Natural Language Processing - What is it used for/3. Why is NLP hard.srt 4.7 KB
5. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.srt 4.2 KB
3. Decrypting Ciphers/7. Code pt 1.srt 4.1 KB
8. Write your own article spinner/1. Article Spinning Introduction and Markov Models.srt 4.1 KB
1. Natural Language Processing - What is it used for/1. Introduction and Outline.srt 4.0 KB
2. Course Preparation/1. How to Succeed in this Course.srt 4.0 KB
9. How to learn more about NLP/1. What we didn't talk about.srt 3.8 KB
11. Appendix FAQ/1. What is the Appendix.srt 3.7 KB
2. Course Preparation/3. Do you need a review of machine learning.srt 3.6 KB
7. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.srt 3.5 KB
2. Course Preparation/2. Where to get the code and data.srt 3.4 KB
1. Natural Language Processing - What is it used for/4. The Central Message of this Course.srt 3.4 KB
8. Write your own article spinner/2. Trigram Model.srt 3.1 KB
4. Build your own spam detector/1. Build your own spam detector - description of data.srt 2.6 KB
6. NLTK Exploration/4. Want more NLTK.srt 2.4 KB
6. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.srt 2.2 KB
6. NLTK Exploration/1. NLTK Exploration POS Tagging.srt 2.0 KB
4. Build your own spam detector/6. Other types of features.srt 1.9 KB
6. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.srt 1.6 KB
3. Decrypting Ciphers/6. Link to Cipher Notebook.html 235 bytes
[FreeCourseWorld.Com].url 54 bytes
[DesireCourse.Net].url 51 bytes
[CourseClub.Me].url 48 bytes
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 0 bytes

[DesireCourse.Net] Udemy - Data Science Natural Language Processing (NLP) in Python

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