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文档列表

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
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5. Build your own spam detector/1. Build your own spam detector - description of data-id_ID.srt 2.6 kB
5. Build your own spam detector/1. Build your own spam detector - description of data-pl_PL.srt 2.6 kB
7. NLTK Exploration/4. Want more NLTK-pt_BR.srt 2.6 kB
5. Build your own spam detector/1. Build your own spam detector - description of data-en_US.srt 2.6 kB
7. NLTK Exploration/4. Want more NLTK-id_ID.srt 2.6 kB
7. NLTK Exploration/4. Want more NLTK-pl_PL.srt 2.5 kB
7. NLTK Exploration/4. Want more NLTK-de_DE.srt 2.5 kB
7. NLTK Exploration/4. Want more NLTK-es_ES.srt 2.5 kB
7. NLTK Exploration/4. Want more NLTK-en_US.srt 2.4 kB
7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-es_ES.srt 2.3 kB
7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-ro_RO.srt 2.3 kB
7. NLTK Exploration/1. NLTK Exploration POS Tagging-ro_RO.srt 2.3 kB
7. NLTK Exploration/1. NLTK Exploration POS Tagging-de_DE.srt 2.2 kB
7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-de_DE.srt 2.2 kB
7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-pt_BR.srt 2.2 kB
7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-id_ID.srt 2.2 kB
7. NLTK Exploration/1. NLTK Exploration POS Tagging-id_ID.srt 2.1 kB
7. NLTK Exploration/1. NLTK Exploration POS Tagging-pt_BR.srt 2.1 kB
7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-pl_PL.srt 2.1 kB
5. Build your own spam detector/6. Other types of features-de_DE.srt 2.1 kB
7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-en_US.srt 2.1 kB
5. Build your own spam detector/6. Other types of features-id_ID.srt 2.1 kB
5. Build your own spam detector/6. Other types of features-es_ES.srt 2.0 kB
7. NLTK Exploration/1. NLTK Exploration POS Tagging-pl_PL.srt 2.0 kB
5. Build your own spam detector/6. Other types of features-ro_RO.srt 2.0 kB
7. NLTK Exploration/1. NLTK Exploration POS Tagging-es_ES.srt 2.0 kB
5. Build your own spam detector/6. Other types of features-pt_BR.srt 2.0 kB
5. Build your own spam detector/6. Other types of features-pl_PL.srt 2.0 kB
7. NLTK Exploration/1. NLTK Exploration POS Tagging-en_US.srt 1.9 kB
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
7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-ro_RO.srt 1.8 kB
7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-id_ID.srt 1.7 kB
7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-es_ES.srt 1.7 kB
7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-pt_BR.srt 1.7 kB
7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-pl_PL.srt 1.7 kB
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
11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt 0 Bytes
11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-es_ES.srt 0 Bytes
11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-id_ID.srt 0 Bytes
11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-pl_PL.srt 0 Bytes
11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-pt_BR.srt 0 Bytes
11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-ro_RO.srt 0 Bytes
11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-th_TH.srt 0 Bytes
11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 0 Bytes
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-de_DE.srt 0 Bytes
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-en_US.srt 0 Bytes
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-es_ES.srt 0 Bytes
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-id_ID.srt 0 Bytes
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-pl_PL.srt 0 Bytes
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-pt_BR.srt 0 Bytes
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-ro_RO.srt 0 Bytes
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-th_TH.srt 0 Bytes
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
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-es_ES.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-id_ID.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-pl_PL.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-pt_BR.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-ro_RO.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-th_TH.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-de_DE.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-es_ES.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-id_ID.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-pl_PL.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-pt_BR.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-ro_RO.srt 0 Bytes
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-th_TH.srt 0 Bytes

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