[Tutorialsplanet.NET] Udemy - Data Science Natural Language Processing (NLP) in Python

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[Tutorialsplanet.NET] Udemy - Data Science Natural Language Processing (NLP) in Python

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收录时间：2022-04-12
最近下载：2024-11-28

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文件列表

  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
  • 3. Machine Learning Basics Review/3. Classification in Code.mp4 146.3 MB
  • 6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 142.0 MB
  • 4. Decrypting Ciphers/4. Genetic Algorithms.mp4 110.3 MB
  • 9. Write your own article spinner/5. Writing an article spinner in Python.mp4 82.6 MB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 82.0 MB
  • 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 81.5 MB
  • 3. Machine Learning Basics Review/1. Machine Learning Section Introduction.mp4 79.4 MB
  • 3. Machine Learning Basics Review/2. What is Classification.mp4 74.1 MB
  • 3. Machine Learning Basics Review/5. Regression in Code.mp4 72.7 MB
  • 4. Decrypting Ciphers/3. Language Models.mp4 68.8 MB
  • 8. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.mp4 66.3 MB
  • 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models.mp4 56.2 MB
  • 1. Natural Language Processing - What is it used for/2. Why Learn NLP.mp4 55.1 MB
  • 1. Natural Language Processing - What is it used for/1. Introduction and Outline.mp4 53.9 MB
  • 3. Machine Learning Basics Review/4. What is Regression.mp4 52.0 MB
  • 2. Course Preparation/1. How to Succeed in this Course.mp4 45.9 MB
  • 1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective).mp4 45.1 MB
  • 4. Decrypting Ciphers/10. Code pt 5.mp4 42.9 MB
  • 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics.mp4 42.8 MB
  • 5. Build your own spam detector/4. Naive Bayes Concepts.mp4 41.6 MB
  • 4. Decrypting Ciphers/11. Code pt 6.mp4 41.3 MB
  • 4. Decrypting Ciphers/7. Code pt 2.mp4 41.0 MB
  • 3. Machine Learning Basics Review/6. What is a Feature Vector.mp4 39.8 MB
  • 14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
  • 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
  • 4. Decrypting Ciphers/1. Section Introduction.mp4 39.3 MB
  • 9. Write your own article spinner/3. More about Language Models.mp4 38.4 MB
  • 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4 32.1 MB
  • 4. Decrypting Ciphers/8. Code pt 3.mp4 31.0 MB
  • 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
  • 2. Course Preparation/2. Where to get the code and data.mp4 30.4 MB
  • 5. Build your own spam detector/5. AdaBoost Concepts.mp4 28.1 MB
  • 4. Decrypting Ciphers/9. Code pt 4.mp4 26.9 MB
  • 3. Machine Learning Basics Review/11. Section Summary.mp4 26.0 MB
  • 3. Machine Learning Basics Review/8. All Data is the Same.mp4 26.0 MB
  • 5. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4 26.0 MB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Decrypting Ciphers/12. Section Conclusion.mp4 25.4 MB
  • 9. Write your own article spinner/6. Article Spinner Extension Exercises.mp4 24.8 MB
  • 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry.mp4 23.8 MB
  • 4. Decrypting Ciphers/5. Code Preparation.mp4 21.6 MB
  • 9. Write your own article spinner/4. Precode Exercises.mp4 20.7 MB
  • 4. Decrypting Ciphers/2. Ciphers.mp4 18.0 MB
  • 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.mp4 17.7 MB
  • 5. Build your own spam detector/11. Suggestion Box.mp4 16.9 MB
  • 4. Decrypting Ciphers/6. Code pt 1.mp4 16.8 MB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 15.5 MB
  • 5. Build your own spam detector/10. SMS Spam in Code.mp4 14.6 MB
  • 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 13.6 MB
  • 6. Build your own sentiment analyzer/2. Logistic Regression Review.mp4 12.8 MB
  • 2. Course Preparation/3. How to Open Files for Windows Users.mp4 11.6 MB
  • 8. Latent Semantic Analysis/5. Extending LSA.mp4 11.4 MB
  • 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp4 11.2 MB
  • 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp4 11.1 MB
  • 5. Build your own spam detector/8. What is a Vector (Remedial #2).mp4 9.5 MB
  • 7. NLTK Exploration/4. Want more NLTK.mp4 8.9 MB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4 8.2 MB
  • 6. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp4 8.1 MB
  • 7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp4 7.0 MB
  • 5. Build your own spam detector/9. SMS Spam Example.mp4 6.0 MB
  • 14. Appendix FAQ Finale/1. What is the Appendix.mp4 5.7 MB
  • 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension.mp4 5.4 MB
  • 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp4 5.3 MB
  • 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models.mp4 4.9 MB
  • 10. How to learn more about NLP/1. What we didn't talk about.mp4 4.5 MB
  • 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp4 4.1 MB
  • 9. Write your own article spinner/2. Trigram Model.mp4 4.0 MB
  • 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.mp4 3.8 MB
  • 7. NLTK Exploration/1. NLTK Exploration POS Tagging.mp4 2.1 MB
  • 5. Build your own spam detector/1. Build your own spam detector - description of data.mp4 2.0 MB
  • 5. Build your own spam detector/6. Other types of features.mp4 1.5 MB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-th_TH.srt 41.4 kB
  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-th_TH.srt 36.3 kB
  • 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-th_TH.srt 36.2 kB
  • 4. Decrypting Ciphers/4. Genetic Algorithms-de_DE.srt 31.9 kB
  • 4. Decrypting Ciphers/4. Genetic Algorithms-es_ES.srt 30.7 kB
  • 3. Machine Learning Basics Review/3. Classification in Code-th_TH.srt 30.6 kB
  • 3. Machine Learning Basics Review/2. What is Classification-th_TH.srt 30.6 kB
  • 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-th_TH.srt 30.3 kB
  • 3. Machine Learning Basics Review/4. What is Regression-th_TH.srt 30.1 kB
  • 4. Decrypting Ciphers/4. Genetic Algorithms-pl_PL.srt 30.1 kB
  • 4. Decrypting Ciphers/4. Genetic Algorithms-pt_BR.srt 29.9 kB
  • 4. Decrypting Ciphers/4. Genetic Algorithms-en_US.srt 28.5 kB
  • 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-th_TH.srt 26.0 kB
  • 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-th_TH.srt 24.8 kB
  • 3. Machine Learning Basics Review/1. Machine Learning Section Introduction-de_DE.srt 24.6 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-ro_RO.srt 24.5 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-th_TH.srt 24.4 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-de_DE.srt 24.3 kB
  • 3. Machine Learning Basics Review/1. Machine Learning Section Introduction-es_ES.srt 24.3 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-pt_BR.srt 24.0 kB
  • 3. Machine Learning Basics Review/1. Machine Learning Section Introduction-pt_BR.srt 24.0 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-es_ES.srt 23.9 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-id_ID.srt 23.7 kB
  • 3. Machine Learning Basics Review/1. Machine Learning Section Introduction-pl_PL.srt 23.5 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-pl_PL.srt 23.2 kB
  • 3. Machine Learning Basics Review/1. Machine Learning Section Introduction-en_US.srt 22.7 kB
  • 4. Decrypting Ciphers/3. Language Models-de_DE.srt 22.7 kB
  • 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-th_TH.srt 22.6 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-en_US.srt 22.4 kB
  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-de_DE.srt 22.2 kB
  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-ro_RO.srt 22.2 kB
  • 9. Write your own article spinner/3. More about Language Models-th_TH.srt 22.2 kB
  • 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-th_TH.srt 21.9 kB
  • 5. Build your own spam detector/4. Naive Bayes Concepts-th_TH.srt 21.8 kB
  • 4. Decrypting Ciphers/3. Language Models-es_ES.srt 21.7 kB
  • 4. Decrypting Ciphers/3. Language Models-pl_PL.srt 21.6 kB
  • 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-de_DE.srt 21.4 kB
  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-id_ID.srt 21.4 kB
  • 4. Decrypting Ciphers/3. Language Models-pt_BR.srt 21.4 kB
  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-es_ES.srt 21.3 kB
  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-pl_PL.srt 21.3 kB
  • 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-ro_RO.srt 21.2 kB
  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-pt_BR.srt 21.1 kB
  • 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-es_ES.srt 21.0 kB
  • 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-pt_BR.srt 20.6 kB
  • 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-id_ID.srt 20.4 kB
  • 5. Build your own spam detector/10. SMS Spam in Code-th_TH.srt 20.4 kB
  • 4. Decrypting Ciphers/3. Language Models-en_US.srt 20.3 kB
  • 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-pl_PL.srt 20.1 kB
  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-en_US.srt 19.8 kB
  • 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-en_US.srt 19.3 kB
  • 3. Machine Learning Basics Review/4. What is Regression-de_DE.srt 18.3 kB
  • 3. Machine Learning Basics Review/3. Classification in Code-ro_RO.srt 18.2 kB
  • 3. Machine Learning Basics Review/3. Classification in Code-de_DE.srt 18.1 kB
  • 3. Machine Learning Basics Review/5. Regression in Code-th_TH.srt 18.1 kB
  • 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-ro_RO.srt 18.0 kB
  • 3. Machine Learning Basics Review/2. What is Classification-ro_RO.srt 18.0 kB
  • 3. Machine Learning Basics Review/2. What is Classification-de_DE.srt 17.9 kB
  • 3. Machine Learning Basics Review/2. What is Classification-es_ES.srt 17.9 kB
  • 3. Machine Learning Basics Review/3. Classification in Code-es_ES.srt 17.8 kB
  • 3. Machine Learning Basics Review/4. What is Regression-ro_RO.srt 17.7 kB
  • 6. Build your own sentiment analyzer/2. Logistic Regression Review-th_TH.srt 17.7 kB
  • 3. Machine Learning Basics Review/3. Classification in Code-pt_BR.srt 17.7 kB
  • 3. Machine Learning Basics Review/4. What is Regression-es_ES.srt 17.7 kB
  • 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-de_DE.srt 17.6 kB
  • 3. Machine Learning Basics Review/3. Classification in Code-id_ID.srt 17.6 kB
  • 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-es_ES.srt 17.6 kB
  • 3. Machine Learning Basics Review/2. What is Classification-pt_BR.srt 17.5 kB
  • 3. Machine Learning Basics Review/4. What is Regression-pt_BR.srt 17.4 kB
  • 3. Machine Learning Basics Review/4. What is Regression-id_ID.srt 17.4 kB
  • 3. Machine Learning Basics Review/3. Classification in Code-pl_PL.srt 17.4 kB
  • 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-id_ID.srt 17.4 kB
  • 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-pt_BR.srt 17.3 kB
  • 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-pl_PL.srt 17.1 kB
  • 3. Machine Learning Basics Review/4. What is Regression-pl_PL.srt 17.1 kB
  • 3. Machine Learning Basics Review/2. What is Classification-id_ID.srt 17.0 kB
  • 3. Machine Learning Basics Review/2. What is Classification-pl_PL.srt 16.9 kB
  • 3. Machine Learning Basics Review/6. What is a Feature Vector-th_TH.srt 16.5 kB
  • 3. Machine Learning Basics Review/4. What is Regression-en_US.srt 16.5 kB
  • 3. Machine Learning Basics Review/3. Classification in Code-en_US.srt 16.5 kB
  • 3. Machine Learning Basics Review/2. What is Classification-en_US.srt 16.2 kB
  • 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-en_US.srt 16.2 kB
  • 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-de_DE.srt 15.9 kB
  • 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-ro_RO.srt 15.9 kB
  • 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-id_ID.srt 15.6 kB
  • 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-pt_BR.srt 15.3 kB
  • 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-es_ES.srt 15.1 kB
  • 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-pl_PL.srt 15.1 kB
  • 6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-de_DE.srt 14.8 kB
  • 5. Build your own spam detector/9. SMS Spam Example-th_TH.srt 14.8 kB
  • 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-th_TH.srt 14.7 kB
  • 5. Build your own spam detector/8. What is a Vector (Remedial #2)-th_TH.srt 14.6 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-de_DE.srt 14.5 kB
  • 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-en_US.srt 14.4 kB
  • 3. Machine Learning Basics Review/11. Section Summary-th_TH.srt 14.4 kB
  • 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-de_DE.srt 14.4 kB
  • 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-ro_RO.srt 14.4 kB
  • 6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-es_ES.srt 14.3 kB
  • 6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-pl_PL.srt 14.2 kB
  • 8. Latent Semantic Analysis/5. Extending LSA-th_TH.srt 14.2 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-ro_RO.srt 14.2 kB
  • 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension-th_TH.srt 14.2 kB
  • 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-th_TH.srt 14.2 kB
  • 6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-pt_BR.srt 14.1 kB
  • 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-pt_BR.srt 14.1 kB
  • 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-es_ES.srt 14.1 kB
  • 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-id_ID.srt 13.9 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-pt_BR.srt 13.9 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-id_ID.srt 13.9 kB
  • 6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-en_US.srt 13.8 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-es_ES.srt 13.8 kB
  • 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-ro_RO.srt 13.7 kB
  • 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-de_DE.srt 13.7 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-pl_PL.srt 13.7 kB
  • 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-pl_PL.srt 13.7 kB
  • 9. Write your own article spinner/3. More about Language Models-ro_RO.srt 13.6 kB
  • 9. Write your own article spinner/3. More about Language Models-de_DE.srt 13.6 kB
  • 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-th_TH.srt 13.5 kB
  • 1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-de_DE.srt 13.4 kB
  • 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-pt_BR.srt 13.4 kB
  • 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-es_ES.srt 13.4 kB
  • 9. Write your own article spinner/3. More about Language Models-es_ES.srt 13.3 kB
  • 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-pl_PL.srt 13.1 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-en_US.srt 13.1 kB
  • 9. Write your own article spinner/3. More about Language Models-pt_BR.srt 13.1 kB
  • 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-id_ID.srt 13.0 kB
  • 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-en_US.srt 13.0 kB
  • 1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-es_ES.srt 12.9 kB
  • 1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-pt_BR.srt 12.9 kB
  • 9. Write your own article spinner/3. More about Language Models-pl_PL.srt 12.9 kB
  • 9. Write your own article spinner/3. More about Language Models-id_ID.srt 12.8 kB
  • 5. Build your own spam detector/4. Naive Bayes Concepts-de_DE.srt 12.8 kB
  • 5. Build your own spam detector/4. Naive Bayes Concepts-es_ES.srt 12.8 kB
  • 3. Machine Learning Basics Review/8. All Data is the Same-th_TH.srt 12.7 kB
  • 5. Build your own spam detector/4. Naive Bayes Concepts-ro_RO.srt 12.7 kB
  • 1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-pl_PL.srt 12.7 kB
  • 1. Natural Language Processing - What is it used for/1. Introduction and Outline-de_DE.srt 12.6 kB
  • 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-ro_RO.srt 12.4 kB
  • 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-de_DE.srt 12.4 kB
  • 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-en_US.srt 12.4 kB
  • 5. Build your own spam detector/4. Naive Bayes Concepts-pl_PL.srt 12.3 kB
  • 5. Build your own spam detector/4. Naive Bayes Concepts-pt_BR.srt 12.3 kB
  • 5. Build your own spam detector/10. SMS Spam in Code-ro_RO.srt 12.2 kB
  • 5. Build your own spam detector/10. SMS Spam in Code-de_DE.srt 12.2 kB
  • 9. Write your own article spinner/6. Article Spinner Extension Exercises-th_TH.srt 12.2 kB
  • 1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-en_US.srt 12.2 kB
  • 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-es_ES.srt 12.2 kB
  • 1. Natural Language Processing - What is it used for/1. Introduction and Outline-es_ES.srt 12.1 kB
  • 5. Build your own spam detector/10. SMS Spam in Code-es_ES.srt 12.1 kB
  • 9. Write your own article spinner/3. More about Language Models-en_US.srt 12.1 kB
  • 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-id_ID.srt 12.0 kB
  • 5. Build your own spam detector/10. SMS Spam in Code-id_ID.srt 12.0 kB
  • 5. Build your own spam detector/4. Naive Bayes Concepts-id_ID.srt 12.0 kB
  • 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-pl_PL.srt 12.0 kB
  • 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-pt_BR.srt 12.0 kB
  • 1. Natural Language Processing - What is it used for/1. Introduction and Outline-pl_PL.srt 12.0 kB
  • 5. Build your own spam detector/10. SMS Spam in Code-pt_BR.srt 11.9 kB
  • 1. Natural Language Processing - What is it used for/1. Introduction and Outline-pt_BR.srt 11.9 kB
  • 5. Build your own spam detector/5. AdaBoost Concepts-th_TH.srt 11.7 kB
  • 5. Build your own spam detector/4. Naive Bayes Concepts-en_US.srt 11.6 kB
  • 5. Build your own spam detector/10. SMS Spam in Code-pl_PL.srt 11.6 kB
  • 1. Natural Language Processing - What is it used for/1. Introduction and Outline-en_US.srt 11.5 kB
  • 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-th_TH.srt 11.2 kB
  • 4. Decrypting Ciphers/1. Section Introduction-de_DE.srt 11.2 kB
  • 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-en_US.srt 11.2 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-th_TH.srt 11.1 kB
  • 5. Build your own spam detector/10. SMS Spam in Code-en_US.srt 11.0 kB
  • 9. Write your own article spinner/4. Precode Exercises-th_TH.srt 10.8 kB
  • 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-th_TH.srt 10.8 kB
  • 4. Decrypting Ciphers/1. Section Introduction-pl_PL.srt 10.8 kB
  • 3. Machine Learning Basics Review/5. Regression in Code-ro_RO.srt 10.7 kB
  • 4. Decrypting Ciphers/1. Section Introduction-pt_BR.srt 10.6 kB
  • 4. Decrypting Ciphers/1. Section Introduction-es_ES.srt 10.6 kB
  • 3. Machine Learning Basics Review/5. Regression in Code-de_DE.srt 10.5 kB
  • 6. Build your own sentiment analyzer/2. Logistic Regression Review-ro_RO.srt 10.5 kB
  • 6. Build your own sentiment analyzer/2. Logistic Regression Review-de_DE.srt 10.5 kB
  • 3. Machine Learning Basics Review/5. Regression in Code-es_ES.srt 10.4 kB
  • 3. Machine Learning Basics Review/5. Regression in Code-pt_BR.srt 10.4 kB
  • 6. Build your own sentiment analyzer/2. Logistic Regression Review-es_ES.srt 10.3 kB
  • 3. Machine Learning Basics Review/5. Regression in Code-id_ID.srt 10.3 kB
  • 4. Decrypting Ciphers/7. Code pt 2-de_DE.srt 10.3 kB
  • 3. Machine Learning Basics Review/5. Regression in Code-pl_PL.srt 10.3 kB
  • 4. Decrypting Ciphers/1. Section Introduction-en_US.srt 10.2 kB
  • 6. Build your own sentiment analyzer/2. Logistic Regression Review-pt_BR.srt 10.1 kB
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  • 6. Build your own sentiment analyzer/2. Logistic Regression Review-id_ID.srt 9.9 kB
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  • 3. Machine Learning Basics Review/6. What is a Feature Vector-ro_RO.srt 9.7 kB
  • 3. Machine Learning Basics Review/5. Regression in Code-en_US.srt 9.7 kB
  • 3. Machine Learning Basics Review/6. What is a Feature Vector-es_ES.srt 9.6 kB
  • 6. Build your own sentiment analyzer/2. Logistic Regression Review-en_US.srt 9.6 kB
  • 3. Machine Learning Basics Review/6. What is a Feature Vector-de_DE.srt 9.6 kB
  • 4. Decrypting Ciphers/10. Code pt 5-es_ES.srt 9.5 kB
  • 3. Machine Learning Basics Review/6. What is a Feature Vector-id_ID.srt 9.4 kB
  • 4. Decrypting Ciphers/12. Section Conclusion-de_DE.srt 9.3 kB
  • 9. Write your own article spinner/5. Writing an article spinner in Python-de_DE.srt 9.3 kB
  • 4. Decrypting Ciphers/10. Code pt 5-pt_BR.srt 9.3 kB
  • 3. Machine Learning Basics Review/6. What is a Feature Vector-pt_BR.srt 9.3 kB
  • 3. Machine Learning Basics Review/6. What is a Feature Vector-pl_PL.srt 9.2 kB
  • 9. Write your own article spinner/5. Writing an article spinner in Python-es_ES.srt 9.2 kB
  • 2. Course Preparation/1. How to Succeed in this Course-de_DE.srt 9.1 kB
  • 9. Write your own article spinner/5. Writing an article spinner in Python-pt_BR.srt 9.1 kB
  • 1. Natural Language Processing - What is it used for/2. Why Learn NLP-de_DE.srt 9.1 kB
  • 1. Natural Language Processing - What is it used for/2. Why Learn NLP-es_ES.srt 9.1 kB
  • 4. Decrypting Ciphers/10. Code pt 5-pl_PL.srt 9.0 kB
  • 4. Decrypting Ciphers/7. Code pt 2-en_US.srt 9.0 kB
  • 9. Write your own article spinner/5. Writing an article spinner in Python-pl_PL.srt 9.0 kB
  • 2. Course Preparation/1. How to Succeed in this Course-pl_PL.srt 8.9 kB
  • 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-ro_RO.srt 8.9 kB
  • 2. Course Preparation/1. How to Succeed in this Course-es_ES.srt 8.9 kB
  • 1. Natural Language Processing - What is it used for/2. Why Learn NLP-pt_BR.srt 8.9 kB
  • 5. Build your own spam detector/9. SMS Spam Example-ro_RO.srt 8.9 kB
  • 5. Build your own spam detector/9. SMS Spam Example-de_DE.srt 8.8 kB
  • 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-de_DE.srt 8.8 kB
  • 3. Machine Learning Basics Review/11. Section Summary-ro_RO.srt 8.8 kB
  • 3. Machine Learning Basics Review/6. What is a Feature Vector-en_US.srt 8.8 kB
  • 5. Build your own spam detector/9. SMS Spam Example-es_ES.srt 8.7 kB
  • 4. Decrypting Ciphers/12. Section Conclusion-pl_PL.srt 8.7 kB
  • 9. Write your own article spinner/5. Writing an article spinner in Python-en_US.srt 8.7 kB
  • 4. Decrypting Ciphers/12. Section Conclusion-es_ES.srt 8.7 kB
  • 1. Natural Language Processing - What is it used for/2. Why Learn NLP-pl_PL.srt 8.7 kB
  • 2. Course Preparation/1. How to Succeed in this Course-pt_BR.srt 8.7 kB
  • 5. Build your own spam detector/9. SMS Spam Example-pt_BR.srt 8.7 kB
  • 5. Build your own spam detector/9. SMS Spam Example-id_ID.srt 8.6 kB
  • 3. Machine Learning Basics Review/11. Section Summary-de_DE.srt 8.6 kB
  • 3. Machine Learning Basics Review/11. Section Summary-es_ES.srt 8.6 kB
  • 5. Build your own spam detector/9. SMS Spam Example-pl_PL.srt 8.6 kB
  • 4. Decrypting Ciphers/10. Code pt 5-en_US.srt 8.6 kB
  • 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension-ro_RO.srt 8.5 kB
  • 5. Build your own spam detector/8. What is a Vector (Remedial #2)-ro_RO.srt 8.5 kB
  • 8. Latent Semantic Analysis/5. Extending LSA-de_DE.srt 8.5 kB
  • 4. Decrypting Ciphers/12. Section Conclusion-pt_BR.srt 8.5 kB
  • 5. Build your own spam detector/8. What is a Vector (Remedial #2)-es_ES.srt 8.5 kB
  • 14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-de_DE.srt 8.5 kB
  • 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-de_DE.srt 8.5 kB
  • 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-id_ID.srt 8.5 kB
  • 3. Machine Learning Basics Review/11. Section Summary-pt_BR.srt 8.5 kB
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  • 5. Build your own spam detector/8. What is a Vector (Remedial #2)-de_DE.srt 8.5 kB
  • 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-ro_RO.srt 8.4 kB
  • 1. Natural Language Processing - What is it used for/2. Why Learn NLP-en_US.srt 8.4 kB
  • 8. Latent Semantic Analysis/5. Extending LSA-es_ES.srt 8.4 kB
  • 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension-es_ES.srt 8.4 kB
  • 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-ro_RO.srt 8.4 kB
  • 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension-de_DE.srt 8.3 kB
  • 3. Machine Learning Basics Review/11. Section Summary-pl_PL.srt 8.3 kB
  • 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-pt_BR.srt 8.3 kB
  • 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-de_DE.srt 8.3 kB
  • 2. Course Preparation/2. Where to get the code and data-de_DE.srt 8.3 kB
  • 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-pl_PL.srt 8.3 kB
  • 5. Build your own spam detector/8. What is a Vector (Remedial #2)-pt_BR.srt 8.3 kB
  • 3. Machine Learning Basics Review/11. Section Summary-id_ID.srt 8.3 kB
  • 8. Latent Semantic Analysis/5. Extending LSA-ro_RO.srt 8.3 kB
  • 14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-es_ES.srt 8.2 kB
  • 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension-pt_BR.srt 8.2 kB
  • 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-pt_BR.srt 8.2 kB
  • 8. Latent Semantic Analysis/5. Extending LSA-pt_BR.srt 8.2 kB
  • 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-id_ID.srt 8.2 kB
  • 14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-pl_PL.srt 8.2 kB
  • 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-es_ES.srt 8.1 kB
  • 14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-pt_BR.srt 8.1 kB
  • 2. Course Preparation/1. How to Succeed in this Course-en_US.srt 8.1 kB
  • 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-es_ES.srt 8.1 kB
  • 8. Latent Semantic Analysis/5. Extending LSA-pl_PL.srt 8.1 kB
  • 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-pt_BR.srt 8.1 kB
  • 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension-id_ID.srt 8.1 kB
  • 4. Decrypting Ciphers/12. Section Conclusion-en_US.srt 8.1 kB
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  • 5. Build your own spam detector/8. What is a Vector (Remedial #2)-id_ID.srt 8.0 kB
  • 5. Build your own spam detector/9. SMS Spam Example-en_US.srt 8.0 kB
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  • 8. Latent Semantic Analysis/5. Extending LSA-id_ID.srt 8.0 kB
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  • 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-pl_PL.srt 7.9 kB
  • 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-en_US.srt 7.8 kB
  • 14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt 7.8 kB
  • 3. Machine Learning Basics Review/11. Section Summary-en_US.srt 7.7 kB
  • 5. Build your own spam detector/8. What is a Vector (Remedial #2)-en_US.srt 7.7 kB
  • 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-en_US.srt 7.7 kB
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  • 3. Machine Learning Basics Review/8. All Data is the Same-de_DE.srt 7.7 kB
  • 2. Course Preparation/2. Where to get the code and data-pl_PL.srt 7.6 kB
  • 9. Write your own article spinner/6. Article Spinner Extension Exercises-ro_RO.srt 7.6 kB
  • 2. Course Preparation/2. Where to get the code and data-es_ES.srt 7.6 kB
  • 2. Course Preparation/2. Where to get the code and data-pt_BR.srt 7.6 kB
  • 8. Latent Semantic Analysis/5. Extending LSA-en_US.srt 7.6 kB
  • 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-en_US.srt 7.6 kB
  • 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer-th_TH.srt 7.5 kB
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  • 4. Decrypting Ciphers/5. Code Preparation-de_DE.srt 7.5 kB
  • 9. Write your own article spinner/6. Article Spinner Extension Exercises-de_DE.srt 7.5 kB
  • 3. Machine Learning Basics Review/8. All Data is the Same-ro_RO.srt 7.4 kB
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  • 3. Machine Learning Basics Review/8. All Data is the Same-id_ID.srt 7.3 kB
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  • 5. Build your own spam detector/5. AdaBoost Concepts-ro_RO.srt 7.1 kB
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  • 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-de_DE.srt 6.8 kB
  • 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-de_DE.srt 6.8 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-ro_RO.srt 6.8 kB
  • 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-ro_RO.srt 6.8 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-de_DE.srt 6.7 kB
  • 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-th_TH.srt 6.7 kB
  • 5. Build your own spam detector/5. AdaBoost Concepts-pt_BR.srt 6.7 kB
  • 5. Build your own spam detector/5. AdaBoost Concepts-id_ID.srt 6.7 kB
  • 4. Decrypting Ciphers/5. Code Preparation-en_US.srt 6.7 kB
  • 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-pt_BR.srt 6.7 kB
  • 9. Write your own article spinner/4. Precode Exercises-de_DE.srt 6.7 kB
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  • 9. Write your own article spinner/6. Article Spinner Extension Exercises-en_US.srt 6.7 kB
  • 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-id_ID.srt 6.6 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-id_ID.srt 6.6 kB
  • 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-es_ES.srt 6.6 kB
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  • 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-ro_RO.srt 6.6 kB
  • 5. Build your own spam detector/5. AdaBoost Concepts-pl_PL.srt 6.6 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-pt_BR.srt 6.6 kB
  • 9. Write your own article spinner/4. Precode Exercises-ro_RO.srt 6.6 kB
  • 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-es_ES.srt 6.5 kB
  • 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-pt_BR.srt 6.5 kB
  • 10. How to learn more about NLP/1. What we didn't talk about-th_TH.srt 6.5 kB
  • 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-id_ID.srt 6.5 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-es_ES.srt 6.5 kB
  • 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-pl_PL.srt 6.4 kB
  • 9. Write your own article spinner/4. Precode Exercises-es_ES.srt 6.4 kB
  • 9. Write your own article spinner/4. Precode Exercises-pt_BR.srt 6.4 kB
  • 14. Appendix FAQ Finale/1. What is the Appendix-th_TH.srt 6.4 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-pl_PL.srt 6.3 kB
  • 9. Write your own article spinner/4. Precode Exercises-pl_PL.srt 6.3 kB
  • 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-pl_PL.srt 6.3 kB
  • 5. Build your own spam detector/5. AdaBoost Concepts-en_US.srt 6.2 kB
  • 9. Write your own article spinner/4. Precode Exercises-id_ID.srt 6.2 kB
  • 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-en_US.srt 6.1 kB
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  • 4. Decrypting Ciphers/8. Code pt 3-en_US.srt 6.1 kB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-en_US.srt 6.0 kB
  • 9. Write your own article spinner/4. Precode Exercises-en_US.srt 6.0 kB
  • 4. Decrypting Ciphers/9. Code pt 4-de_DE.srt 5.8 kB
  • 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-th_TH.srt 5.6 kB
  • 4. Decrypting Ciphers/9. Code pt 4-es_ES.srt 5.3 kB
  • 4. Decrypting Ciphers/2. Ciphers-de_DE.srt 5.2 kB
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  • 9. Write your own article spinner/2. Trigram Model-th_TH.srt 5.0 kB
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  • 5. Build your own spam detector/11. Suggestion Box-de_DE.srt 5.0 kB
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  • 4. Decrypting Ciphers/2. Ciphers-en_US.srt 4.7 kB
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  • 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer-de_DE.srt 4.6 kB
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  • 4. Decrypting Ciphers/6. Code pt 1-es_ES.srt 4.4 kB
  • 7. NLTK Exploration/4. Want more NLTK-th_TH.srt 4.4 kB
  • 4. Decrypting Ciphers/6. Code pt 1-pt_BR.srt 4.3 kB
  • 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-es_ES.srt 4.2 kB
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  • 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-pt_BR.srt 4.2 kB
  • 4. Decrypting Ciphers/6. Code pt 1-pl_PL.srt 4.2 kB
  • 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer-en_US.srt 4.2 kB
  • 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-de_DE.srt 4.2 kB
  • 14. Appendix FAQ Finale/1. What is the Appendix-ro_RO.srt 4.1 kB
  • 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-id_ID.srt 4.1 kB
  • 4. Decrypting Ciphers/6. Code pt 1-en_US.srt 4.1 kB
  • 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-pl_PL.srt 4.0 kB
  • 14. Appendix FAQ Finale/1. What is the Appendix-de_DE.srt 4.0 kB
  • 10. How to learn more about NLP/1. What we didn't talk about-ro_RO.srt 4.0 kB
  • 10. How to learn more about NLP/1. What we didn't talk about-de_DE.srt 4.0 kB
  • 7. NLTK Exploration/1. NLTK Exploration POS Tagging-th_TH.srt 3.9 kB
  • 10. How to learn more about NLP/1. What we didn't talk about-id_ID.srt 3.9 kB
  • 10. How to learn more about NLP/1. What we didn't talk about-pt_BR.srt 3.9 kB
  • 14. Appendix FAQ Finale/1. What is the Appendix-id_ID.srt 3.8 kB
  • 14. Appendix FAQ Finale/1. What is the Appendix-es_ES.srt 3.8 kB
  • 10. How to learn more about NLP/1. What we didn't talk about-es_ES.srt 3.8 kB
  • 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-en_US.srt 3.8 kB
  • 14. Appendix FAQ Finale/1. What is the Appendix-pl_PL.srt 3.8 kB
  • 14. Appendix FAQ Finale/1. What is the Appendix-pt_BR.srt 3.8 kB
  • 10. How to learn more about NLP/1. What we didn't talk about-pl_PL.srt 3.8 kB
  • 14. Appendix FAQ Finale/1. What is the Appendix-en_US.srt 3.7 kB
  • 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-de_DE.srt 3.6 kB
  • 10. How to learn more about NLP/1. What we didn't talk about-en_US.srt 3.6 kB
  • 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-es_ES.srt 3.6 kB
  • 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-ro_RO.srt 3.5 kB
  • 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-id_ID.srt 3.5 kB
  • 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-pt_BR.srt 3.5 kB
  • 2. Course Preparation/3. How to Open Files for Windows Users-de_DE.srt 3.5 kB
  • 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-pl_PL.srt 3.4 kB
  • 7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-th_TH.srt 3.4 kB
  • 2. Course Preparation/3. How to Open Files for Windows Users-pl_PL.srt 3.4 kB
  • 2. Course Preparation/3. How to Open Files for Windows Users-pt_BR.srt 3.4 kB
  • 5. Build your own spam detector/6. Other types of features-th_TH.srt 3.4 kB
  • 2. Course Preparation/3. How to Open Files for Windows Users-es_ES.srt 3.4 kB
  • 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-en_US.srt 3.3 kB
  • 9. Write your own article spinner/2. Trigram Model-id_ID.srt 3.2 kB
  • 9. Write your own article spinner/2. Trigram Model-de_DE.srt 3.2 kB
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  • 9. Write your own article spinner/2. Trigram Model-en_US.srt 2.9 kB
  • 5. Build your own spam detector/1. Build your own spam detector - description of data-ro_RO.srt 2.9 kB
  • 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-th_TH.srt 2.9 kB
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  • 7. NLTK Exploration/1. NLTK Exploration POS Tagging-ro_RO.srt 2.3 kB
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  • 5. Build your own spam detector/6. Other types of features-en_US.srt 1.9 kB
  • 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-de_DE.srt 1.8 kB
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  • 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-en_US.srt 1.6 kB
  • 4. Decrypting Ciphers/Link to Cipher Notebook.html 235 Bytes
  • 14. Appendix FAQ Finale/[Tutorialsplanet.NET].url 128 Bytes
  • 2. Course Preparation/[Tutorialsplanet.NET].url 128 Bytes
  • [Tutorialsplanet.NET].url 128 Bytes
  • 2. Course Preparation/2. External URLs.txt 75 Bytes
  • 11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-de_DE.srt 0 Bytes
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  • 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-de_DE.srt 0 Bytes
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