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

Creation Time	Aug. 30, 2023, 1:40 p.m.
Last Access Time	Nov. 21, 2024, 12:09 a.m.
File Size	2.5 GB
Keywords	Tutorialsplanet NLP Natural Language Python Science Processing - Udemy in NET Data
Total Requests	12
Total Files	596
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11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 186.5 MB
3. Machine Learning Basics Review/3. Classification in Code.mp4 139.5 MB
6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 135.4 MB
4. Decrypting Ciphers/4. Genetic Algorithms.mp4 105.2 MB
9. Write your own article spinner/5. Writing an article spinner in Python.mp4 78.8 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 78.3 MB
8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 78.2 MB
6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 77.7 MB
3. Machine Learning Basics Review/1. Machine Learning Section Introduction.mp4 75.7 MB
3. Machine Learning Basics Review/2. What is Classification.mp4 70.7 MB
3. Machine Learning Basics Review/5. Regression in Code.mp4 69.4 MB
4. Decrypting Ciphers/3. Language Models.mp4 65.6 MB
8. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.mp4 63.2 MB
3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models.mp4 53.6 MB
1. Natural Language Processing - What is it used for/2. Why Learn NLP.mp4 52.5 MB
1. Natural Language Processing - What is it used for/1. Introduction and Outline.mp4 51.4 MB
3. Machine Learning Basics Review/4. What is Regression.mp4 49.6 MB
2. Course Preparation/1. How to Succeed in this Course.mp4 43.8 MB
1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective).mp4 43.0 MB
4. Decrypting Ciphers/10. Code pt 5.mp4 40.9 MB
3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics.mp4 40.9 MB
5. Build your own spam detector/4. Naive Bayes Concepts.mp4 39.7 MB
4. Decrypting Ciphers/11. Code pt 6.mp4 39.3 MB
4. Decrypting Ciphers/7. Code pt 2.mp4 39.1 MB
3. Machine Learning Basics Review/6. What is a Feature Vector.mp4 38.0 MB
14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.8 MB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 37.6 MB
4. Decrypting Ciphers/1. Section Introduction.mp4 37.4 MB
9. Write your own article spinner/3. More about Language Models.mp4 36.6 MB
5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4 30.6 MB
4. Decrypting Ciphers/8. Code pt 3.mp4 29.5 MB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 29.3 MB
2. Course Preparation/2. Where to get the code and data.mp4 29.0 MB
5. Build your own spam detector/5. AdaBoost Concepts.mp4 26.8 MB
4. Decrypting Ciphers/9. Code pt 4.mp4 25.7 MB
3. Machine Learning Basics Review/11. Section Summary.mp4 24.8 MB
3. Machine Learning Basics Review/8. All Data is the Same.mp4 24.8 MB
5. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4 24.8 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 24.5 MB
4. Decrypting Ciphers/12. Section Conclusion.mp4 24.3 MB
9. Write your own article spinner/6. Article Spinner Extension Exercises.mp4 23.7 MB
3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry.mp4 22.7 MB
4. Decrypting Ciphers/5. Code Preparation.mp4 20.6 MB
9. Write your own article spinner/4. Precode Exercises.mp4 19.8 MB
4. Decrypting Ciphers/2. Ciphers.mp4 17.2 MB
8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.mp4 16.9 MB
5. Build your own spam detector/11. Suggestion Box.mp4 16.1 MB
4. Decrypting Ciphers/6. Code pt 1.mp4 16.0 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 14.8 MB
5. Build your own spam detector/10. SMS Spam in Code.mp4 13.9 MB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 13.0 MB
6. Build your own sentiment analyzer/2. Logistic Regression Review.mp4 12.2 MB
2. Course Preparation/3. How to Open Files for Windows Users.mp4 11.1 MB
8. Latent Semantic Analysis/5. Extending LSA.mp4 10.9 MB
5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp4 10.7 MB
6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp4 10.5 MB
5. Build your own spam detector/8. What is a Vector (Remedial #2).mp4 9.1 MB
7. NLTK Exploration/4. Want more NLTK.mp4 8.4 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4 7.8 MB
6. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp4 7.7 MB
7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp4 6.7 MB
5. Build your own spam detector/9. SMS Spam Example.mp4 5.7 MB
14. Appendix FAQ Finale/1. What is the Appendix.mp4 5.5 MB
6. Build your own sentiment analyzer/6. Sentiment Analysis Extension.mp4 5.2 MB
6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp4 5.1 MB
9. Write your own article spinner/1. Article Spinning Introduction and Markov Models.mp4 4.6 MB
10. How to learn more about NLP/1. What we didn't talk about.mp4 4.3 MB
8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp4 3.9 MB
9. Write your own article spinner/2. Trigram Model.mp4 3.9 MB
7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.mp4 3.7 MB
7. NLTK Exploration/1. NLTK Exploration POS Tagging.mp4 2.0 MB
5. Build your own spam detector/1. Build your own spam detector - description of data.mp4 1.9 MB
5. Build your own spam detector/6. Other types of features.mp4 1.4 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-th_TH.srt 40.4 KB
11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-th_TH.srt 35.4 KB
8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-th_TH.srt 35.3 KB
4. Decrypting Ciphers/4. Genetic Algorithms-de_DE.srt 31.1 KB
4. Decrypting Ciphers/4. Genetic Algorithms-es_ES.srt 30.0 KB
3. Machine Learning Basics Review/3. Classification in Code-th_TH.srt 29.9 KB
3. Machine Learning Basics Review/2. What is Classification-th_TH.srt 29.9 KB
6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-th_TH.srt 29.6 KB
3. Machine Learning Basics Review/4. What is Regression-th_TH.srt 29.4 KB
4. Decrypting Ciphers/4. Genetic Algorithms-pl_PL.srt 29.4 KB
4. Decrypting Ciphers/4. Genetic Algorithms-pt_BR.srt 29.2 KB
4. Decrypting Ciphers/4. Genetic Algorithms-en_US.srt 27.8 KB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-th_TH.srt 25.4 KB
3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-th_TH.srt 24.2 KB
3. Machine Learning Basics Review/1. Machine Learning Section Introduction-de_DE.srt 24.0 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-ro_RO.srt 23.9 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-th_TH.srt 23.8 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-de_DE.srt 23.7 KB
3. Machine Learning Basics Review/1. Machine Learning Section Introduction-es_ES.srt 23.7 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-pt_BR.srt 23.4 KB
3. Machine Learning Basics Review/1. Machine Learning Section Introduction-pt_BR.srt 23.4 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-es_ES.srt 23.4 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-id_ID.srt 23.2 KB
3. Machine Learning Basics Review/1. Machine Learning Section Introduction-pl_PL.srt 23.0 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-pl_PL.srt 22.7 KB
3. Machine Learning Basics Review/1. Machine Learning Section Introduction-en_US.srt 22.1 KB
4. Decrypting Ciphers/3. Language Models-de_DE.srt 22.1 KB
8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-th_TH.srt 22.1 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-en_US.srt 21.9 KB
11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-de_DE.srt 21.7 KB
11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-ro_RO.srt 21.6 KB
9. Write your own article spinner/3. More about Language Models-th_TH.srt 21.6 KB
5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-th_TH.srt 21.4 KB
5. Build your own spam detector/4. Naive Bayes Concepts-th_TH.srt 21.3 KB
4. Decrypting Ciphers/3. Language Models-es_ES.srt 21.2 KB
4. Decrypting Ciphers/3. Language Models-pl_PL.srt 21.1 KB
8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-de_DE.srt 20.9 KB
11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-id_ID.srt 20.9 KB
4. Decrypting Ciphers/3. Language Models-pt_BR.srt 20.9 KB
11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-es_ES.srt 20.8 KB
11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-pl_PL.srt 20.8 KB
8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-ro_RO.srt 20.7 KB
11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-pt_BR.srt 20.6 KB
8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-es_ES.srt 20.5 KB
8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-pt_BR.srt 20.1 KB
8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-id_ID.srt 19.9 KB
5. Build your own spam detector/10. SMS Spam in Code-th_TH.srt 19.9 KB
4. Decrypting Ciphers/3. Language Models-en_US.srt 19.8 KB
8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-pl_PL.srt 19.7 KB
11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-en_US.srt 19.3 KB
8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-en_US.srt 18.9 KB
3. Machine Learning Basics Review/4. What is Regression-de_DE.srt 17.8 KB
3. Machine Learning Basics Review/3. Classification in Code-ro_RO.srt 17.7 KB
3. Machine Learning Basics Review/3. Classification in Code-de_DE.srt 17.7 KB
3. Machine Learning Basics Review/5. Regression in Code-th_TH.srt 17.6 KB
6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-ro_RO.srt 17.6 KB
3. Machine Learning Basics Review/2. What is Classification-ro_RO.srt 17.6 KB
3. Machine Learning Basics Review/2. What is Classification-de_DE.srt 17.5 KB
3. Machine Learning Basics Review/2. What is Classification-es_ES.srt 17.5 KB
3. Machine Learning Basics Review/3. Classification in Code-es_ES.srt 17.4 KB
3. Machine Learning Basics Review/4. What is Regression-ro_RO.srt 17.3 KB
6. Build your own sentiment analyzer/2. Logistic Regression Review-th_TH.srt 17.3 KB
3. Machine Learning Basics Review/3. Classification in Code-pt_BR.srt 17.3 KB
3. Machine Learning Basics Review/4. What is Regression-es_ES.srt 17.3 KB
6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-de_DE.srt 17.2 KB
3. Machine Learning Basics Review/3. Classification in Code-id_ID.srt 17.2 KB
6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-es_ES.srt 17.2 KB
3. Machine Learning Basics Review/2. What is Classification-pt_BR.srt 17.1 KB
3. Machine Learning Basics Review/4. What is Regression-pt_BR.srt 17.0 KB
3. Machine Learning Basics Review/4. What is Regression-id_ID.srt 17.0 KB
3. Machine Learning Basics Review/3. Classification in Code-pl_PL.srt 17.0 KB
6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-id_ID.srt 16.9 KB
6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-pt_BR.srt 16.8 KB
6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-pl_PL.srt 16.7 KB
3. Machine Learning Basics Review/4. What is Regression-pl_PL.srt 16.7 KB
3. Machine Learning Basics Review/2. What is Classification-id_ID.srt 16.6 KB
3. Machine Learning Basics Review/2. What is Classification-pl_PL.srt 16.5 KB
3. Machine Learning Basics Review/6. What is a Feature Vector-th_TH.srt 16.2 KB
3. Machine Learning Basics Review/4. What is Regression-en_US.srt 16.1 KB
3. Machine Learning Basics Review/3. Classification in Code-en_US.srt 16.1 KB
3. Machine Learning Basics Review/2. What is Classification-en_US.srt 15.9 KB
6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-en_US.srt 15.8 KB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-de_DE.srt 15.6 KB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-ro_RO.srt 15.5 KB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-id_ID.srt 15.3 KB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-pt_BR.srt 15.0 KB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-es_ES.srt 14.8 KB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-pl_PL.srt 14.7 KB
6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-de_DE.srt 14.5 KB
5. Build your own spam detector/9. SMS Spam Example-th_TH.srt 14.4 KB
3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-th_TH.srt 14.4 KB
5. Build your own spam detector/8. What is a Vector (Remedial #2)-th_TH.srt 14.3 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-de_DE.srt 14.2 KB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-en_US.srt 14.1 KB
3. Machine Learning Basics Review/11. Section Summary-th_TH.srt 14.1 KB
3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-de_DE.srt 14.1 KB
3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-ro_RO.srt 14.0 KB
6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-es_ES.srt 13.9 KB
6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-pl_PL.srt 13.9 KB
8. Latent Semantic Analysis/5. Extending LSA-th_TH.srt 13.9 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-ro_RO.srt 13.9 KB
6. Build your own sentiment analyzer/6. Sentiment Analysis Extension-th_TH.srt 13.9 KB
5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-th_TH.srt 13.8 KB
6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-pt_BR.srt 13.8 KB
3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-pt_BR.srt 13.8 KB
3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-es_ES.srt 13.8 KB
3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-id_ID.srt 13.6 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-pt_BR.srt 13.5 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-id_ID.srt 13.5 KB
6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-en_US.srt 13.5 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-es_ES.srt 13.4 KB
8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-ro_RO.srt 13.4 KB
8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-de_DE.srt 13.4 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-pl_PL.srt 13.4 KB
3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-pl_PL.srt 13.4 KB
9. Write your own article spinner/3. More about Language Models-ro_RO.srt 13.3 KB
9. Write your own article spinner/3. More about Language Models-de_DE.srt 13.3 KB
6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-th_TH.srt 13.2 KB
1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-de_DE.srt 13.1 KB
8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-pt_BR.srt 13.1 KB
8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-es_ES.srt 13.1 KB
9. Write your own article spinner/3. More about Language Models-es_ES.srt 13.0 KB
8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-pl_PL.srt 12.8 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-en_US.srt 12.8 KB
9. Write your own article spinner/3. More about Language Models-pt_BR.srt 12.8 KB
8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-id_ID.srt 12.7 KB
3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-en_US.srt 12.7 KB
1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-es_ES.srt 12.6 KB
1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-pt_BR.srt 12.6 KB
9. Write your own article spinner/3. More about Language Models-pl_PL.srt 12.6 KB
9. Write your own article spinner/3. More about Language Models-id_ID.srt 12.5 KB
5. Build your own spam detector/4. Naive Bayes Concepts-de_DE.srt 12.5 KB
5. Build your own spam detector/4. Naive Bayes Concepts-es_ES.srt 12.5 KB
3. Machine Learning Basics Review/8. All Data is the Same-th_TH.srt 12.4 KB
5. Build your own spam detector/4. Naive Bayes Concepts-ro_RO.srt 12.4 KB
1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-pl_PL.srt 12.4 KB
1. Natural Language Processing - What is it used for/1. Introduction and Outline-de_DE.srt 12.3 KB
5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-ro_RO.srt 12.1 KB
5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-de_DE.srt 12.1 KB
8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-en_US.srt 12.1 KB
5. Build your own spam detector/4. Naive Bayes Concepts-pl_PL.srt 12.0 KB
5. Build your own spam detector/4. Naive Bayes Concepts-pt_BR.srt 12.0 KB
5. Build your own spam detector/10. SMS Spam in Code-ro_RO.srt 12.0 KB
5. Build your own spam detector/10. SMS Spam in Code-de_DE.srt 11.9 KB
9. Write your own article spinner/6. Article Spinner Extension Exercises-th_TH.srt 11.9 KB
1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-en_US.srt 11.9 KB
5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-es_ES.srt 11.9 KB
1. Natural Language Processing - What is it used for/1. Introduction and Outline-es_ES.srt 11.8 KB
5. Build your own spam detector/10. SMS Spam in Code-es_ES.srt 11.8 KB
9. Write your own article spinner/3. More about Language Models-en_US.srt 11.8 KB
5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-id_ID.srt 11.8 KB
5. Build your own spam detector/10. SMS Spam in Code-id_ID.srt 11.7 KB
5. Build your own spam detector/4. Naive Bayes Concepts-id_ID.srt 11.7 KB
5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-pl_PL.srt 11.7 KB
5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-pt_BR.srt 11.7 KB
1. Natural Language Processing - What is it used for/1. Introduction and Outline-pl_PL.srt 11.7 KB
5. Build your own spam detector/10. SMS Spam in Code-pt_BR.srt 11.6 KB
1. Natural Language Processing - What is it used for/1. Introduction and Outline-pt_BR.srt 11.6 KB
5. Build your own spam detector/5. AdaBoost Concepts-th_TH.srt 11.4 KB
5. Build your own spam detector/4. Naive Bayes Concepts-en_US.srt 11.4 KB
5. Build your own spam detector/10. SMS Spam in Code-pl_PL.srt 11.3 KB
1. Natural Language Processing - What is it used for/1. Introduction and Outline-en_US.srt 11.2 KB
3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-th_TH.srt 11.0 KB
4. Decrypting Ciphers/1. Section Introduction-de_DE.srt 11.0 KB
5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-en_US.srt 10.9 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-th_TH.srt 10.9 KB
5. Build your own spam detector/10. SMS Spam in Code-en_US.srt 10.8 KB
9. Write your own article spinner/4. Precode Exercises-th_TH.srt 10.5 KB
6. Build your own sentiment analyzer/3. Preprocessing Tokenization-th_TH.srt 10.5 KB
4. Decrypting Ciphers/1. Section Introduction-pl_PL.srt 10.5 KB
3. Machine Learning Basics Review/5. Regression in Code-ro_RO.srt 10.5 KB
4. Decrypting Ciphers/1. Section Introduction-pt_BR.srt 10.4 KB
4. Decrypting Ciphers/1. Section Introduction-es_ES.srt 10.4 KB
3. Machine Learning Basics Review/5. Regression in Code-de_DE.srt 10.3 KB
6. Build your own sentiment analyzer/2. Logistic Regression Review-ro_RO.srt 10.3 KB
6. Build your own sentiment analyzer/2. Logistic Regression Review-de_DE.srt 10.3 KB
3. Machine Learning Basics Review/5. Regression in Code-es_ES.srt 10.2 KB
3. Machine Learning Basics Review/5. Regression in Code-pt_BR.srt 10.1 KB
6. Build your own sentiment analyzer/2. Logistic Regression Review-es_ES.srt 10.1 KB
3. Machine Learning Basics Review/5. Regression in Code-id_ID.srt 10.0 KB
4. Decrypting Ciphers/7. Code pt 2-de_DE.srt 10.0 KB
3. Machine Learning Basics Review/5. Regression in Code-pl_PL.srt 10.0 KB
4. Decrypting Ciphers/1. Section Introduction-en_US.srt 10.0 KB
6. Build your own sentiment analyzer/2. Logistic Regression Review-pt_BR.srt 9.8 KB
6. Build your own sentiment analyzer/2. Logistic Regression Review-pl_PL.srt 9.8 KB
6. Build your own sentiment analyzer/2. Logistic Regression Review-id_ID.srt 9.7 KB
4. Decrypting Ciphers/7. Code pt 2-es_ES.srt 9.6 KB
4. Decrypting Ciphers/10. Code pt 5-de_DE.srt 9.6 KB
4. Decrypting Ciphers/7. Code pt 2-pl_PL.srt 9.5 KB
4. Decrypting Ciphers/7. Code pt 2-pt_BR.srt 9.5 KB
3. Machine Learning Basics Review/6. What is a Feature Vector-ro_RO.srt 9.4 KB
3. Machine Learning Basics Review/5. Regression in Code-en_US.srt 9.4 KB
3. Machine Learning Basics Review/6. What is a Feature Vector-es_ES.srt 9.4 KB
6. Build your own sentiment analyzer/2. Logistic Regression Review-en_US.srt 9.4 KB
3. Machine Learning Basics Review/6. What is a Feature Vector-de_DE.srt 9.3 KB
4. Decrypting Ciphers/10. Code pt 5-es_ES.srt 9.2 KB
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2. Course Preparation/[Tutorialsplanet.NET].url 128 bytes
[Tutorialsplanet.NET].url 128 bytes
2. Course Preparation/2. External URLs.txt 75 bytes
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