[FreeCourseSite.com] Udemy - NLP - Natural Language Processing with Python

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  • 7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.mp4 128.4 MB
    3. Natural Language Processing Basics/4. Spacy Basics.mp4 128.29 MB
    8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.mp4 125.51 MB
    2. Python Text Basics/3. Working with Text Files with Python - Part Two.mp4 118.48 MB
    8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.mp4 117.08 MB
    6. Semantics and Sentiment Analysis/3. Semantics and Word Vectors with Spacy.mp4 114.7 MB
    4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.mp4 110.02 MB
    5. Text Classification/9. Text Feature Extraction - Code Along Implementations.mp4 108.17 MB
    3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.mp4 108.07 MB
    8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.mp4 100.91 MB
    8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.mp4 99.52 MB
    2. Python Text Basics/5. Regular Expressions Part One.mp4 95.15 MB
    4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.mp4 93.7 MB
    8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.mp4 91.19 MB
    6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.mp4 91.1 MB
    8. Deep Learning for NLP/4. Keras Basics - Part One.mp4 90.87 MB
    1. Introduction/1.1 UPDATED_NLP_COURSE.zip.zip 89.47 MB
    1. Introduction/5.1 UPDATED_NLP_COURSE.zip.zip 89.47 MB
    5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.mp4 89.35 MB
    6. Semantics and Sentiment Analysis/8. Sentiment Analysis Project Assessment - Solutions.mp4 88.9 MB
    5. Text Classification/6. Scikit-Learn Primer - Code Along Part One.mp4 88.28 MB
    1. Introduction/4. Installation and Setup Lecture.mp4 88.11 MB
    7. Topic Modeling/7. Non-negative Matrix Factorization with Python.mp4 83.7 MB
    3. Natural Language Processing Basics/5. Tokenization - Part One.mp4 76.2 MB
    2. Python Text Basics/4. Working with PDFs.mp4 73.85 MB
    8. Deep Learning for NLP/13. Creating Chat Bots with Python - Part Two.mp4 73.33 MB
    4. Part of Speech Tagging and Named Entity Recognition/4. Named Entity Recognition - Part One.mp4 67.08 MB
    5. Text Classification/11. Text Classification Code Along Project.mp4 66.62 MB
    2. Python Text Basics/2. Working with Text Files with Python - Part One.mp4 65.16 MB
    4. Part of Speech Tagging and Named Entity Recognition/5. Named Entity Recognition - Part Two.mp4 63.23 MB
    5. Text Classification/3. Classification Metrics.mp4 61.92 MB
    2. Python Text Basics/6. Regular Expressions Part Two.mp4 61.14 MB
    4. Part of Speech Tagging and Named Entity Recognition/9. Part Of Speech Assessment - Solutions.mp4 61.04 MB
    7. Topic Modeling/3. Latent Dirichlet Allocation Overview.mp4 60.2 MB
    7. Topic Modeling/4. Latent Dirichlet Allocation with Python - Part One.mp4 59.89 MB
    3. Natural Language Processing Basics/13. NLP Basics Assessment Solution.mp4 57.84 MB
    7. Topic Modeling/9. Topic Modeling Project - Solutions.mp4 56.92 MB
    3. Natural Language Processing Basics/2. Spacy Setup and Overview.mp4 56.16 MB
    5. Text Classification/7. Scikit-Learn Primer - Code Along Part Two.mp4 55.93 MB
    5. Text Classification/4. Confusion Matrix.mp4 53.86 MB
    3. Natural Language Processing Basics/11. Phrase Matching and Vocabulary - Part Two.mp4 53.13 MB
    3. Natural Language Processing Basics/7. Stemming.mp4 51.82 MB
    4. Part of Speech Tagging and Named Entity Recognition/6. Visualizing Named Entity Recognition.mp4 51.64 MB
    8. Deep Learning for NLP/12. Creating Chat Bots with Python - Part One.mp4 51.22 MB
    5. Text Classification/2. Machine Learning Overview.mp4 50.72 MB
    2. Python Text Basics/8. Python Text Basics - Assessment Solutions.mp4 50.01 MB
    8. Deep Learning for NLP/7. LSTMs, GRU, and Text Generation.mp4 49.25 MB
    6. Semantics and Sentiment Analysis/6. Sentiment Analysis Code Along Movie Review Project.mp4 48.72 MB
    3. Natural Language Processing Basics/6. Tokenization - Part Two.mp4 45.85 MB
    3. Natural Language Processing Basics/8. Lemmatization.mp4 45.04 MB
    5. Text Classification/13. Text Classification Assessment Solutions.mp4 42.98 MB
    8. Deep Learning for NLP/11. Chat Bots Overview.mp4 42 MB
    7. Topic Modeling/6. Non-negative Matrix Factorization Overview.mp4 41.64 MB
    6. Semantics and Sentiment Analysis/2. Overview of Semantics and Word Vectors.mp4 40.22 MB
    3. Natural Language Processing Basics/9. Stop Words.mp4 37.32 MB
    8. Deep Learning for NLP/5. Keras Basics - Part Two.mp4 37.05 MB
    5. Text Classification/8. Text Feature Extraction Overview.mp4 34.91 MB
    8. Deep Learning for NLP/6. Recurrent Neural Network Overview.mp4 33.42 MB
    4. Part of Speech Tagging and Named Entity Recognition/3. Visualizing Part of Speech.mp4 32.82 MB
    7. Topic Modeling/8. Topic Modeling Project - Overview.mp4 30.67 MB
    6. Semantics and Sentiment Analysis/4. Sentiment Analysis Overview.mp4 30.39 MB
    8. Deep Learning for NLP/3. Introduction to Neural Networks.mp4 29.46 MB
    3. Natural Language Processing Basics/12. NLP Basics Assessment Overview.mp4 25.69 MB
    6. Semantics and Sentiment Analysis/7. Sentiment Analysis Project Assessment.mp4 25.1 MB
    1. Introduction/1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.mp4 23.19 MB
    8. Deep Learning for NLP/2. The Basic Perceptron Model.mp4 22.15 MB
    5. Text Classification/5. Scikit-Learn Primer - How to Use SciKit-Learn.mp4 21.38 MB
    2. Python Text Basics/7. Python Text Basics - Assessment Overview.mp4 20.4 MB
    3. Natural Language Processing Basics/3. What is Natural Language Processing.mp4 19.08 MB
    4. Part of Speech Tagging and Named Entity Recognition/8. Part Of Speech Assessment.mp4 18.84 MB
    1. Introduction/3. Curriculum Overview.mp4 14.32 MB
    7. Topic Modeling/2. Overview of Topic Modeling.mp4 12.94 MB
    5. Text Classification/12. Text Classification Assessment Overview.mp4 9.3 MB
    5. Text Classification/1. Introduction to Text Classification.mp4 5.42 MB
    8. Deep Learning for NLP/1. Introduction to Deep Learning for NLP.mp4 5.11 MB
    7. Topic Modeling/1. Introduction to Topic Modeling Section.mp4 4.28 MB
    3. Natural Language Processing Basics/1. Introduction to Natural Language Processing.mp4 4.15 MB
    2. Python Text Basics/1. Introduction to Python Text Basics.mp4 3.68 MB
    4. Part of Speech Tagging and Named Entity Recognition/1. Introduction to Section on POS and NER.mp4 3.55 MB
    6. Semantics and Sentiment Analysis/1. Introduction to Semantics and Sentiment Analysis.mp4 2.19 MB
    2. Python Text Basics/3. Working with Text Files with Python - Part Two.vtt 24.52 KB
    3. Natural Language Processing Basics/4. Spacy Basics.vtt 23.25 KB
    8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.vtt 23.03 KB
    4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.vtt 20.37 KB
    6. Semantics and Sentiment Analysis/3. Semantics and Word Vectors with Spacy.vtt 20.3 KB
    8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.vtt 19.92 KB
    8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.vtt 19.69 KB
    5. Text Classification/6. Scikit-Learn Primer - Code Along Part One.vtt 19.07 KB
    2. Python Text Basics/5. Regular Expressions Part One.vtt 18.69 KB
    3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.vtt 18.29 KB
    4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.vtt 18.26 KB
    7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.vtt 17.79 KB
    5. Text Classification/9. Text Feature Extraction - Code Along Implementations.vtt 17.43 KB
    8. Deep Learning for NLP/4. Keras Basics - Part One.vtt 17.12 KB
    3. Natural Language Processing Basics/5. Tokenization - Part One.vtt 17.11 KB
    8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.vtt 16.79 KB
    1. Introduction/4. Installation and Setup Lecture.vtt 16.56 KB
    8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.vtt 15.54 KB
    6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.vtt 15.53 KB
    5. Text Classification/3. Classification Metrics.vtt 15.42 KB
    8. Deep Learning for NLP/13. Creating Chat Bots with Python - Part Two.vtt 14.42 KB
    2. Python Text Basics/2. Working with Text Files with Python - Part One.vtt 14.28 KB
    2. Python Text Basics/4. Working with PDFs.vtt 14.11 KB
    7. Topic Modeling/7. Non-negative Matrix Factorization with Python.vtt 13.91 KB
    8. Deep Learning for NLP/7. LSTMs, GRU, and Text Generation.vtt 13.43 KB
    7. Topic Modeling/3. Latent Dirichlet Allocation Overview.vtt 13.36 KB
    5. Text Classification/4. Confusion Matrix.vtt 13.28 KB
    6. Semantics and Sentiment Analysis/8. Sentiment Analysis Project Assessment - Solutions.vtt 13.2 KB
    5. Text Classification/2. Machine Learning Overview.vtt 13.14 KB
    8. Deep Learning for NLP/12. Creating Chat Bots with Python - Part One.vtt 12.91 KB
    5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.vtt 12.73 KB
    5. Text Classification/11. Text Classification Code Along Project.vtt 12.55 KB
    2. Python Text Basics/6. Regular Expressions Part Two.vtt 11.76 KB
    7. Topic Modeling/4. Latent Dirichlet Allocation with Python - Part One.vtt 11.21 KB
    3. Natural Language Processing Basics/7. Stemming.vtt 11 KB
    4. Part of Speech Tagging and Named Entity Recognition/4. Named Entity Recognition - Part One.vtt 10.94 KB
    5. Text Classification/7. Scikit-Learn Primer - Code Along Part Two.vtt 10.45 KB
    4. Part of Speech Tagging and Named Entity Recognition/5. Named Entity Recognition - Part Two.vtt 10.17 KB
    3. Natural Language Processing Basics/2. Spacy Setup and Overview.vtt 10.13 KB
    8. Deep Learning for NLP/6. Recurrent Neural Network Overview.vtt 10.08 KB
    8. Deep Learning for NLP/11. Chat Bots Overview.vtt 9.77 KB
    6. Semantics and Sentiment Analysis/2. Overview of Semantics and Word Vectors.vtt 9.36 KB
    6. Semantics and Sentiment Analysis/6. Sentiment Analysis Code Along Movie Review Project.vtt 8.97 KB
    4. Part of Speech Tagging and Named Entity Recognition/6. Visualizing Named Entity Recognition.vtt 8.73 KB
    4. Part of Speech Tagging and Named Entity Recognition/9. Part Of Speech Assessment - Solutions.vtt 8.72 KB
    2. Python Text Basics/8. Python Text Basics - Assessment Solutions.vtt 8.64 KB
    8. Deep Learning for NLP/3. Introduction to Neural Networks.vtt 8.56 KB
    3. Natural Language Processing Basics/13. NLP Basics Assessment Solution.vtt 8.5 KB
    3. Natural Language Processing Basics/11. Phrase Matching and Vocabulary - Part Two.vtt 8.46 KB
    7. Topic Modeling/6. Non-negative Matrix Factorization Overview.vtt 8.27 KB
    3. Natural Language Processing Basics/8. Lemmatization.vtt 8.11 KB
    7. Topic Modeling/9. Topic Modeling Project - Solutions.vtt 7.77 KB
    5. Text Classification/13. Text Classification Assessment Solutions.vtt 7.63 KB
    3. Natural Language Processing Basics/6. Tokenization - Part Two.vtt 7.54 KB
    4. Part of Speech Tagging and Named Entity Recognition/3. Visualizing Part of Speech.vtt 7.5 KB
    5. Text Classification/8. Text Feature Extraction Overview.vtt 7.47 KB
    8. Deep Learning for NLP/5. Keras Basics - Part Two.vtt 6.82 KB
    8. Deep Learning for NLP/2. The Basic Perceptron Model.vtt 6.75 KB
    1. Introduction/1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.vtt 6.22 KB
    6. Semantics and Sentiment Analysis/4. Sentiment Analysis Overview.vtt 6.02 KB
    5. Text Classification/5. Scikit-Learn Primer - How to Use SciKit-Learn.vtt 5.98 KB
    3. Natural Language Processing Basics/9. Stop Words.vtt 5.59 KB
    7. Topic Modeling/8. Topic Modeling Project - Overview.vtt 5.18 KB
    1. Introduction/5. FAQ - Frequently Asked Questions.html 5.09 KB
    1. Introduction/3. Curriculum Overview.vtt 4.27 KB
    3. Natural Language Processing Basics/12. NLP Basics Assessment Overview.vtt 4.08 KB
    6. Semantics and Sentiment Analysis/7. Sentiment Analysis Project Assessment.vtt 4 KB
    3. Natural Language Processing Basics/3. What is Natural Language Processing.vtt 3.91 KB
    4. Part of Speech Tagging and Named Entity Recognition/8. Part Of Speech Assessment.vtt 3.25 KB
    2. Python Text Basics/7. Python Text Basics - Assessment Overview.vtt 3.25 KB
    7. Topic Modeling/2. Overview of Topic Modeling.vtt 2.64 KB
    5. Text Classification/12. Text Classification Assessment Overview.vtt 1.6 KB
    5. Text Classification/1. Introduction to Text Classification.vtt 1.12 KB
    8. Deep Learning for NLP/1. Introduction to Deep Learning for NLP.vtt 1.07 KB
    3. Natural Language Processing Basics/1. Introduction to Natural Language Processing.vtt 866 B
    2. Python Text Basics/1. Introduction to Python Text Basics.vtt 795 B
    7. Topic Modeling/1. Introduction to Topic Modeling Section.vtt 760 B
    4. Part of Speech Tagging and Named Entity Recognition/1. Introduction to Section on POS and NER.vtt 669 B
    6. Semantics and Sentiment Analysis/1. Introduction to Semantics and Sentiment Analysis.vtt 581 B
    1. Introduction/2. Quick Check.html 147 B
    0. Websites you may like/[FCS Forum].url 133 B
    0. Websites you may like/[FreeCourseSite.com].url 127 B
    1. Introduction/4.1 Link for .yml file (Should work for all Operating Systems).html 127 B
    0. Websites you may like/[CourseClub.ME].url 122 B
    8. Deep Learning for NLP/11.1 End to End Networks.html 97 B

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