Udemy - Data Science Natural Language Processing (NLP) in Python (9.2021)

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Udemy - Data Science Natural Language Processing (NLP) in Python (9.2021)

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收录时间：2025-07-06
最近下载：2025-09-08

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文件列表

  • 12 - Setting Up Your Environment FAQ by Student Request/77 - Anaconda Environment Setup.mp4 195.5 MB
  • 3 - Machine Learning Basics Review/9 - Classification in Code.mp4 146.3 MB
  • 7 - Build your own sentiment analyzer/58 - Sentiment Analysis in Python using Logistic Regression.mp4 142.0 MB
  • 5 - Decrypting Ciphers/34 - Genetic Algorithms.mp4 110.3 MB
  • 10 - Write your own article spinner/74 - Writing an article spinner in Python.mp4 82.6 MB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/81 - Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 9 - Latent Semantic Analysis/66 - SVD The underlying math behind LSA.mp4 82.0 MB
  • 7 - Build your own sentiment analyzer/60 - How to Improve Sentiment Analysis & FAQ.mp4 81.5 MB
  • 3 - Machine Learning Basics Review/7 - Machine Learning Section Introduction.mp4 79.4 MB
  • 6 - Build your own spam detector/52 - SMS Spam in Code.mp4 75.8 MB
  • 4 - Markov Models/25 - Building a Text Classifier Code pt 2.mp4 75.7 MB
  • 3 - Machine Learning Basics Review/8 - What is Classification.mp4 74.1 MB
  • 3 - Machine Learning Basics Review/11 - Regression in Code.mp4 72.7 MB
  • 5 - Decrypting Ciphers/33 - Language Models.mp4 68.8 MB
  • 9 - Latent Semantic Analysis/67 - Latent Semantic Analysis in Python.mp4 66.3 MB
  • 4 - Markov Models/28 - Language Model Code pt 1.mp4 65.9 MB
  • 4 - Markov Models/24 - Building a Text Classifier Code pt 1.mp4 60.4 MB
  • 3 - Machine Learning Basics Review/15 - 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
  • 4 - Markov Models/29 - Language Model Code pt 2.mp4 55.0 MB
  • 2 - Course Preparation/5 - Where to get the code and data.mp4 54.2 MB
  • 1 - Natural Language Processing What is it used for/1 - Introduction and Outline.mp4 53.9 MB
  • 3 - Machine Learning Basics Review/10 - What is Regression.mp4 52.0 MB
  • 4 - Markov Models/20 - The Markov Model.mp4 47.5 MB
  • 4 - Markov Models/26 - Language Model Theory.mp4 47.1 MB
  • 12 - Setting Up Your Environment FAQ by Student Request/78 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
  • 1 - Natural Language Processing What is it used for/3 - The Central Message of this Course Big Picture Perspective.mp4 45.1 MB
  • 2 - Course Preparation/4 - How to Succeed in this Course.mp4 43.2 MB
  • 5 - Decrypting Ciphers/40 - Code pt 5.mp4 42.9 MB
  • 3 - Machine Learning Basics Review/16 - Machine Learning and Deep Learning Future Topics.mp4 42.8 MB
  • 5 - Decrypting Ciphers/41 - Code pt 6.mp4 41.3 MB
  • 5 - Decrypting Ciphers/37 - Code pt 2.mp4 41.0 MB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/84 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 40.8 MB
  • 6 - Build your own spam detector/46 - Naive Bayes Concepts.mp4 39.9 MB
  • 3 - Machine Learning Basics Review/12 - What is a Feature Vector.mp4 39.8 MB
  • 15 - Appendix FAQ Finale/88 - BONUS.mp4 39.6 MB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/86 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 39.4 MB
  • 5 - Decrypting Ciphers/31 - Section Introduction.mp4 39.3 MB
  • 10 - Write your own article spinner/72 - More about Language Models.mp4 38.4 MB
  • 4 - Markov Models/21 - Probability Smoothing and LogProbabilities.mp4 35.7 MB
  • 4 - Markov Models/19 - The Markov Property.mp4 33.8 MB
  • 6 - Build your own spam detector/45 - Key Takeaway from Spam Detection Exercise.mp4 32.1 MB
  • 5 - Decrypting Ciphers/38 - Code pt 3.mp4 31.0 MB
  • 4 - Markov Models/23 - Building a Text Classifier Exercise Prompt.mp4 30.8 MB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/85 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 30.7 MB
  • 4 - Markov Models/22 - Building a Text Classifier Theory.mp4 30.3 MB
  • 4 - Markov Models/27 - Language Model Exercise Prompt.mp4 30.2 MB
  • 6 - Build your own spam detector/53 - Suggestion Box.mp4 28.5 MB
  • 6 - Build your own spam detector/47 - AdaBoost Concepts.mp4 28.1 MB
  • 5 - Decrypting Ciphers/39 - Code pt 4.mp4 26.9 MB
  • 3 - Machine Learning Basics Review/17 - Section Summary.mp4 26.0 MB
  • 3 - Machine Learning Basics Review/14 - All Data is the Same.mp4 26.0 MB
  • 6 - Build your own spam detector/44 - Build your own spam detector using Naive Bayes and AdaBoost the code.mp4 26.0 MB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/79 - How to Code by Yourself part 1.mp4 25.7 MB
  • 5 - Decrypting Ciphers/42 - Section Conclusion.mp4 25.4 MB
  • 10 - Write your own article spinner/75 - Article Spinner Extension Exercises.mp4 24.8 MB
  • 3 - Machine Learning Basics Review/13 - Machine Learning is Nothing but Geometry.mp4 23.8 MB
  • 5 - Decrypting Ciphers/35 - Code Preparation.mp4 21.6 MB
  • 10 - Write your own article spinner/73 - Precode Exercises.mp4 20.7 MB
  • 5 - Decrypting Ciphers/32 - Ciphers.mp4 18.0 MB
  • 9 - Latent Semantic Analysis/68 - What is Latent Semantic Analysis Used For.mp4 17.7 MB
  • 5 - Decrypting Ciphers/36 - Code pt 1.mp4 16.8 MB
  • 4 - Markov Models/30 - Markov Models Section Summary.mp4 16.3 MB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/80 - How to Code by Yourself part 2.mp4 15.5 MB
  • 4 - Markov Models/18 - Markov Models Section Introduction.mp4 13.7 MB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/83 - How to Succeed in this Course Long Version.mp4 13.6 MB
  • 7 - Build your own sentiment analyzer/55 - Logistic Regression Review.mp4 12.8 MB
  • 2 - Course Preparation/6 - How to Open Files for Windows Users.mp4 11.6 MB
  • 9 - Latent Semantic Analysis/69 - Extending LSA.mp4 11.4 MB
  • 6 - Build your own spam detector/49 - Spam Detection FAQ Remedial 1.mp4 11.2 MB
  • 7 - Build your own sentiment analyzer/57 - Preprocessing Tokens to Vectors.mp4 11.1 MB
  • 6 - Build your own spam detector/50 - What is a Vector Remedial 2.mp4 9.5 MB
  • 8 - NLTK Exploration/64 - Want more NLTK.mp4 8.9 MB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/82 - Python 2 vs Python 3.mp4 8.2 MB
  • 7 - Build your own sentiment analyzer/56 - Preprocessing Tokenization.mp4 8.1 MB
  • 8 - NLTK Exploration/63 - NLTK Exploration Named Entity Recognition.mp4 7.0 MB
  • 6 - Build your own spam detector/51 - SMS Spam Example.mp4 6.0 MB
  • 15 - Appendix FAQ Finale/87 - What is the Appendix.mp4 5.7 MB
  • 7 - Build your own sentiment analyzer/59 - Sentiment Analysis Extension.mp4 5.4 MB
  • 7 - Build your own sentiment analyzer/54 - Description of Sentiment Analyzer.mp4 5.3 MB
  • 10 - Write your own article spinner/70 - Article Spinning Introduction and Markov Models.mp4 4.9 MB
  • 11 - How to learn more about NLP/76 - What we didnt talk about.mp4 4.5 MB
  • 9 - Latent Semantic Analysis/65 - Latent Semantic Analysis What does it do.mp4 4.1 MB
  • 10 - Write your own article spinner/71 - Trigram Model.mp4 4.0 MB
  • 8 - NLTK Exploration/62 - NLTK Exploration Stemming and Lemmatization.mp4 3.8 MB
  • 8 - NLTK Exploration/61 - NLTK Exploration POS Tagging.mp4 2.1 MB
  • 6 - Build your own spam detector/43 - Build your own spam detector description of data.mp4 2.0 MB
  • 6 - Build your own spam detector/48 - Other types of features.mp4 1.5 MB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/84 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced Thai.srt 59.9 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/86 - Machine Learning and AI Prerequisite Roadmap pt 2 Thai.srt 45.2 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/79 - How to Code by Yourself part 1 Thai.srt 42.6 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/77 - Anaconda Environment Setup Thai.srt 37.6 kB
  • 9 - Latent Semantic Analysis/subtitles/66 - SVD The underlying math behind LSA Thai.srt 37.3 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/84 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced Romanian.srt 36.7 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/84 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced German.srt 36.1 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/84 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced Indonesian.srt 36.1 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/84 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced Portuguese.srt 35.6 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/84 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced Spanish.srt 35.5 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/84 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced Polish.srt 35.4 kB
  • 5 - Decrypting Ciphers/subtitles/34 - Genetic Algorithms German.srt 33.8 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/84 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.srt 33.5 kB
  • 5 - Decrypting Ciphers/subtitles/34 - Genetic Algorithms Spanish.srt 32.6 kB
  • 5 - Decrypting Ciphers/subtitles/34 - Genetic Algorithms Polish.srt 32.1 kB
  • 5 - Decrypting Ciphers/subtitles/34 - Genetic Algorithms Portuguese.srt 31.9 kB
  • 3 - Machine Learning Basics Review/subtitles/9 - Classification in Code Thai.srt 31.6 kB
  • 3 - Machine Learning Basics Review/subtitles/8 - What is Classification Thai.srt 31.5 kB
  • 7 - Build your own sentiment analyzer/subtitles/60 - How to Improve Sentiment Analysis & FAQ Thai.srt 31.2 kB
  • 3 - Machine Learning Basics Review/subtitles/10 - What is Regression Thai.srt 31.2 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/85 - Machine Learning and AI Prerequisite Roadmap pt 1 Thai.srt 30.5 kB
  • 5 - Decrypting Ciphers/34 - Genetic Algorithms.srt 30.4 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/86 - Machine Learning and AI Prerequisite Roadmap pt 2 Romanian.srt 27.2 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/78 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow Thai.srt 27.2 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/83 - How to Succeed in this Course Long Version Thai.srt 26.8 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/86 - Machine Learning and AI Prerequisite Roadmap pt 2 Spanish.srt 26.4 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/86 - Machine Learning and AI Prerequisite Roadmap pt 2 Portuguese.srt 26.3 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/86 - Machine Learning and AI Prerequisite Roadmap pt 2 German.srt 26.3 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/81 - Proof that using Jupyter Notebook is the same as not using it Thai.srt 26.2 kB
  • 3 - Machine Learning Basics Review/subtitles/7 - Machine Learning Section Introduction German.srt 26.2 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/86 - Machine Learning and AI Prerequisite Roadmap pt 2 Indonesian.srt 26.2 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/79 - How to Code by Yourself part 1 Romanian.srt 26.1 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/79 - How to Code by Yourself part 1 German.srt 25.9 kB
  • 3 - Machine Learning Basics Review/subtitles/7 - Machine Learning Section Introduction Spanish.srt 25.9 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/86 - Machine Learning and AI Prerequisite Roadmap pt 2 Polish.srt 25.8 kB
  • 3 - Machine Learning Basics Review/subtitles/15 - Comparing Different Machine Learning Models Thai.srt 25.6 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/79 - How to Code by Yourself part 1 Portuguese.srt 25.6 kB
  • 3 - Machine Learning Basics Review/subtitles/7 - Machine Learning Section Introduction Portuguese.srt 25.6 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/79 - How to Code by Yourself part 1 Spanish.srt 25.5 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/79 - How to Code by Yourself part 1 Indonesian.srt 25.3 kB
  • 3 - Machine Learning Basics Review/subtitles/7 - Machine Learning Section Introduction Polish.srt 25.1 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/80 - How to Code by Yourself part 2 Thai.srt 25.0 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/79 - How to Code by Yourself part 1 Polish.srt 24.8 kB
  • 3 - Machine Learning Basics Review/7 - Machine Learning Section Introduction.srt 24.3 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/86 - Machine Learning and AI Prerequisite Roadmap pt 2.srt 24.2 kB
  • 5 - Decrypting Ciphers/subtitles/33 - Language Models German.srt 24.1 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/79 - How to Code by Yourself part 1.srt 24.0 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/77 - Anaconda Environment Setup German.srt 23.6 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/77 - Anaconda Environment Setup Romanian.srt 23.6 kB
  • 9 - Latent Semantic Analysis/subtitles/68 - What is Latent Semantic Analysis Used For Thai.srt 23.3 kB
  • 5 - Decrypting Ciphers/subtitles/33 - Language Models Spanish.srt 23.1 kB
  • 5 - Decrypting Ciphers/subtitles/33 - Language Models Polish.srt 23.0 kB
  • 10 - Write your own article spinner/subtitles/72 - More about Language Models Thai.srt 22.9 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/77 - Anaconda Environment Setup Indonesian.srt 22.8 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/77 - Anaconda Environment Setup Spanish.srt 22.8 kB
  • 5 - Decrypting Ciphers/subtitles/33 - Language Models Portuguese.srt 22.8 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/77 - Anaconda Environment Setup Polish.srt 22.7 kB
  • 9 - Latent Semantic Analysis/subtitles/66 - SVD The underlying math behind LSA German.srt 22.7 kB
  • 6 - Build your own spam detector/subtitles/49 - Spam Detection FAQ Remedial 1 Thai.srt 22.6 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/77 - Anaconda Environment Setup Portuguese.srt 22.5 kB
  • 9 - Latent Semantic Analysis/subtitles/66 - SVD The underlying math behind LSA Romanian.srt 22.4 kB
  • 9 - Latent Semantic Analysis/subtitles/66 - SVD The underlying math behind LSA Spanish.srt 22.3 kB
  • 9 - Latent Semantic Analysis/subtitles/66 - SVD The underlying math behind LSA Portuguese.srt 21.9 kB
  • 5 - Decrypting Ciphers/33 - Language Models.srt 21.7 kB
  • 9 - Latent Semantic Analysis/subtitles/66 - SVD The underlying math behind LSA Indonesian.srt 21.6 kB
  • 9 - Latent Semantic Analysis/subtitles/66 - SVD The underlying math behind LSA Polish.srt 21.4 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/77 - Anaconda Environment Setup.srt 21.2 kB
  • 9 - Latent Semantic Analysis/66 - SVD The underlying math behind LSA.srt 20.6 kB
  • 3 - Machine Learning Basics Review/subtitles/10 - What is Regression German.srt 19.4 kB
  • 3 - Machine Learning Basics Review/subtitles/9 - Classification in Code Romanian.srt 19.4 kB
  • 3 - Machine Learning Basics Review/subtitles/9 - Classification in Code German.srt 19.4 kB
  • 7 - Build your own sentiment analyzer/subtitles/60 - How to Improve Sentiment Analysis & FAQ Romanian.srt 19.1 kB
  • 3 - Machine Learning Basics Review/subtitles/8 - What is Classification Romanian.srt 19.1 kB
  • 3 - Machine Learning Basics Review/subtitles/8 - What is Classification German.srt 19.0 kB
  • 3 - Machine Learning Basics Review/subtitles/8 - What is Classification Spanish.srt 19.0 kB
  • 3 - Machine Learning Basics Review/subtitles/9 - Classification in Code Spanish.srt 19.0 kB
  • 3 - Machine Learning Basics Review/subtitles/9 - Classification in Code Portuguese.srt 18.9 kB
  • 3 - Machine Learning Basics Review/subtitles/10 - What is Regression Romanian.srt 18.9 kB
  • 3 - Machine Learning Basics Review/subtitles/10 - What is Regression Spanish.srt 18.9 kB
  • 3 - Machine Learning Basics Review/subtitles/9 - Classification in Code Indonesian.srt 18.8 kB
  • 7 - Build your own sentiment analyzer/subtitles/60 - How to Improve Sentiment Analysis & FAQ German.srt 18.7 kB
  • 7 - Build your own sentiment analyzer/subtitles/60 - How to Improve Sentiment Analysis & FAQ Spanish.srt 18.7 kB
  • 3 - Machine Learning Basics Review/subtitles/11 - Regression in Code Thai.srt 18.7 kB
  • 3 - Machine Learning Basics Review/subtitles/8 - What is Classification Portuguese.srt 18.6 kB
  • 3 - Machine Learning Basics Review/subtitles/10 - What is Regression Portuguese.srt 18.6 kB
  • 3 - Machine Learning Basics Review/subtitles/10 - What is Regression Indonesian.srt 18.6 kB
  • 3 - Machine Learning Basics Review/subtitles/9 - Classification in Code Polish.srt 18.6 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/85 - Machine Learning and AI Prerequisite Roadmap pt 1 Romanian.srt 18.6 kB
  • 7 - Build your own sentiment analyzer/subtitles/60 - How to Improve Sentiment Analysis & FAQ Indonesian.srt 18.5 kB
  • 4 - Markov Models/subtitles/20 - The Markov Model German.srt 18.4 kB
  • 7 - Build your own sentiment analyzer/subtitles/60 - How to Improve Sentiment Analysis & FAQ Portuguese.srt 18.4 kB
  • 7 - Build your own sentiment analyzer/subtitles/55 - Logistic Regression Review Thai.srt 18.4 kB
  • 3 - Machine Learning Basics Review/subtitles/10 - What is Regression Polish.srt 18.2 kB
  • 7 - Build your own sentiment analyzer/subtitles/60 - How to Improve Sentiment Analysis & FAQ Polish.srt 18.2 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/78 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow German.srt 18.2 kB
  • 4 - Markov Models/subtitles/20 - The Markov Model Spanish.srt 18.1 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/85 - Machine Learning and AI Prerequisite Roadmap pt 1 German.srt 18.1 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/78 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow Romanian.srt 18.1 kB
  • 3 - Machine Learning Basics Review/subtitles/8 - What is Classification Indonesian.srt 18.1 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/85 - Machine Learning and AI Prerequisite Roadmap pt 1 Spanish.srt 18.1 kB
  • 3 - Machine Learning Basics Review/subtitles/8 - What is Classification Polish.srt 18.0 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/85 - Machine Learning and AI Prerequisite Roadmap pt 1 Portuguese.srt 18.0 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/85 - Machine Learning and AI Prerequisite Roadmap pt 1 Indonesian.srt 17.9 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/78 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow Indonesian.srt 17.9 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/85 - Machine Learning and AI Prerequisite Roadmap pt 1 Polish.srt 17.9 kB
  • 4 - Markov Models/subtitles/20 - The Markov Model Portuguese.srt 17.8 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/78 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow Polish.srt 17.8 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/78 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow Portuguese.srt 17.8 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/subtitles/78 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow Spanish.srt 17.7 kB
  • 3 - Machine Learning Basics Review/10 - What is Regression.srt 17.7 kB
  • 3 - Machine Learning Basics Review/9 - Classification in Code.srt 17.7 kB
  • 4 - Markov Models/subtitles/20 - The Markov Model Polish.srt 17.6 kB
  • 3 - Machine Learning Basics Review/8 - What is Classification.srt 17.4 kB
  • 7 - Build your own sentiment analyzer/60 - How to Improve Sentiment Analysis & FAQ.srt 17.3 kB
  • 3 - Machine Learning Basics Review/subtitles/12 - What is a Feature Vector Thai.srt 17.0 kB
  • 12 - Setting Up Your Environment FAQ by Student Request/78 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.srt 17.0 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/83 - How to Succeed in this Course Long Version German.srt 16.9 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/83 - How to Succeed in this Course Long Version Romanian.srt 16.9 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/85 - Machine Learning and AI Prerequisite Roadmap pt 1.srt 16.9 kB
  • 4 - Markov Models/20 - The Markov Model.srt 16.9 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/83 - How to Succeed in this Course Long Version Indonesian.srt 16.6 kB
  • 4 - Markov Models/subtitles/25 - Building a Text Classifier Code pt 2 German.srt 16.5 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/83 - How to Succeed in this Course Long Version Portuguese.srt 16.3 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/83 - How to Succeed in this Course Long Version Spanish.srt 16.1 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/83 - How to Succeed in this Course Long Version Polish.srt 16.1 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/81 - Proof that using Jupyter Notebook is the same as not using it Romanian.srt 16.0 kB
  • 7 - Build your own sentiment analyzer/subtitles/58 - Sentiment Analysis in Python using Logistic Regression German.srt 15.9 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/81 - Proof that using Jupyter Notebook is the same as not using it Spanish.srt 15.9 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/81 - Proof that using Jupyter Notebook is the same as not using it Indonesian.srt 15.9 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/81 - Proof that using Jupyter Notebook is the same as not using it Portuguese.srt 15.9 kB
  • 13 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/81 - Proof that using Jupyter Notebook is the same as not using it German.srt 15.9 kB
  • 4 - Markov Models/subtitles/25 - Building a Text Classifier Code pt 2 Spanish.srt 15.7 kB
  • 4 - Markov Models/subtitles/28 - Language Model Code pt 1 German.srt 15.6 kB
  • 14 - Effective Learning Strategies for Machine Learning FAQ by Student Request/83 - How to Succeed in this Course Long Version.srt 15.4 kB
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