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

Creation Time	Dec. 17, 2024, 12:43 a.m.
Last Access Time	Dec. 2, 2025, 7:55 p.m.
File Size	4.8 GB
Keywords	NLP Natural Language Python with Processing - Udemy FreeCourseLab com
Total Requests	160
Total Files	163
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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 128.3 MB
8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.mp4 125.5 MB
2. Python Text Basics/3. Working with Text Files with Python - Part Two.mp4 118.5 MB
8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.mp4 117.1 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 110.0 MB
5. Text Classification/9. Text Feature Extraction - Code Along Implementations.mp4 108.2 MB
3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.mp4 108.1 MB
8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.mp4 100.9 MB
8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.mp4 99.5 MB
2. Python Text Basics/5. Regular Expressions Part One.vtt 95.2 MB
2. Python Text Basics/5. Regular Expressions Part One.mp4 95.2 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 91.2 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 90.9 MB
1. Introduction/1.1 UPDATED_NLP_COURSE.zip.zip 89.5 MB
1. Introduction/5.1 UPDATED_NLP_COURSE.zip.zip 89.5 MB
5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.mp4 89.4 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 88.3 MB
1. Introduction/4. Installation and Setup Lecture.mp4 88.1 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.vtt 73.9 MB
2. Python Text Basics/4. Working with PDFs.mp4 73.9 MB
8. Deep Learning for NLP/13. Creating Chat Bots with Python - Part Two.mp4 73.3 MB
4. Part of Speech Tagging and Named Entity Recognition/4. Named Entity Recognition - Part One.mp4 67.1 MB
5. Text Classification/11. Text Classification Code Along Project.mp4 66.6 MB
2. Python Text Basics/2. Working with Text Files with Python - Part One.mp4 65.2 MB
4. Part of Speech Tagging and Named Entity Recognition/5. Named Entity Recognition - Part Two.mp4 63.2 MB
5. Text Classification/3. Classification Metrics.mp4 61.9 MB
2. Python Text Basics/6. Regular Expressions Part Two.mp4 61.2 MB
2. Python Text Basics/6. Regular Expressions Part Two.vtt 61.2 MB
4. Part of Speech Tagging and Named Entity Recognition/9. Part Of Speech Assessment - Solutions.mp4 61.0 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 59.9 MB
3. Natural Language Processing Basics/13. NLP Basics Assessment Solution.mp4 57.9 MB
7. Topic Modeling/9. Topic Modeling Project - Solutions.mp4 56.9 MB
3. Natural Language Processing Basics/2. Spacy Setup and Overview.mp4 56.2 MB
5. Text Classification/7. Scikit-Learn Primer - Code Along Part Two.mp4 55.9 MB
5. Text Classification/4. Confusion Matrix.mp4 53.9 MB
3. Natural Language Processing Basics/11. Phrase Matching and Vocabulary - Part Two.mp4 53.1 MB
3. Natural Language Processing Basics/7. Stemming.mp4 51.8 MB
4. Part of Speech Tagging and Named Entity Recognition/6. Visualizing Named Entity Recognition.mp4 51.7 MB
8. Deep Learning for NLP/12. Creating Chat Bots with Python - Part One.mp4 51.2 MB
5. Text Classification/2. Machine Learning Overview.vtt 50.7 MB
5. Text Classification/2. Machine Learning Overview.mp4 50.7 MB
2. Python Text Basics/8. Python Text Basics - Assessment Solutions.mp4 50.0 MB
8. Deep Learning for NLP/7. LSTMs, GRU, and Text Generation.mp4 49.3 MB
6. Semantics and Sentiment Analysis/6. Sentiment Analysis Code Along Movie Review Project.mp4 48.7 MB
3. Natural Language Processing Basics/6. Tokenization - Part Two.mp4 45.9 MB
3. Natural Language Processing Basics/8. Lemmatization.mp4 45.0 MB
5. Text Classification/13. Text Classification Assessment Solutions.mp4 43.0 MB
8. Deep Learning for NLP/11. Chat Bots Overview.mp4 42.0 MB
7. Topic Modeling/6. Non-negative Matrix Factorization Overview.mp4 41.7 MB
6. Semantics and Sentiment Analysis/2. Overview of Semantics and Word Vectors.mp4 40.2 MB
3. Natural Language Processing Basics/9. Stop Words.mp4 37.3 MB
8. Deep Learning for NLP/5. Keras Basics - Part Two.mp4 37.1 MB
5. Text Classification/8. Text Feature Extraction Overview.mp4 34.9 MB
8. Deep Learning for NLP/6. Recurrent Neural Network Overview.mp4 33.4 MB
4. Part of Speech Tagging and Named Entity Recognition/3. Visualizing Part of Speech.mp4 32.8 MB
5. Text Classification/12. Text Classification Assessment Overview.vtt 31.1 MB
7. Topic Modeling/8. Topic Modeling Project - Overview.mp4 30.7 MB
6. Semantics and Sentiment Analysis/4. Sentiment Analysis Overview.mp4 30.4 MB
8. Deep Learning for NLP/3. Introduction to Neural Networks.mp4 29.5 MB
3. Natural Language Processing Basics/12. NLP Basics Assessment Overview.mp4 25.7 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 23.2 MB
8. Deep Learning for NLP/2. The Basic Perceptron Model.mp4 22.1 MB
5. Text Classification/5. Scikit-Learn Primer - How to Use SciKit-Learn.mp4 21.4 MB
5. Text Classification/5. Scikit-Learn Primer - How to Use SciKit-Learn.vtt 21.4 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 19.1 MB
4. Part of Speech Tagging and Named Entity Recognition/8. Part Of Speech Assessment.mp4 18.8 MB
1. Introduction/3. Curriculum Overview.mp4 14.3 MB
7. Topic Modeling/2. Overview of Topic Modeling.mp4 12.9 MB
5. Text Classification/12. Text Classification Assessment Overview.mp4 9.3 MB
5. Text Classification/11. Text Classification Code Along Project.vtt 9.2 MB
8. Deep Learning for NLP/1. Introduction to Deep Learning for NLP.mp4 9.2 MB
5. Text Classification/1. Introduction to Text Classification.mp4 5.4 MB
7. Topic Modeling/1. Introduction to Topic Modeling Section.mp4 4.3 MB
3. Natural Language Processing Basics/1. Introduction to Natural Language Processing.mp4 4.1 MB
2. Python Text Basics/1. Introduction to Python Text Basics.mp4 3.7 MB
4. Part of Speech Tagging and Named Entity Recognition/1. Introduction to Section on POS and NER.mp4 3.6 MB
6. Semantics and Sentiment Analysis/1. Introduction to Semantics and Sentiment Analysis.mp4 2.2 MB
2. Python Text Basics/3. Working with Text Files with Python - Part Two.vtt 24.5 KB
3. Natural Language Processing Basics/4. Spacy Basics.vtt 23.3 KB
8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.vtt 23.0 KB
4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.vtt 20.4 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 19.9 KB
8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.vtt 19.7 KB
5. Text Classification/6. Scikit-Learn Primer - Code Along Part One.vtt 19.1 KB
3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.vtt 18.3 KB
4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.vtt 18.3 KB
7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.vtt 17.8 KB
5. Text Classification/9. Text Feature Extraction - Code Along Implementations.vtt 17.4 KB
8. Deep Learning for NLP/4. Keras Basics - Part One.vtt 17.1 KB
3. Natural Language Processing Basics/5. Tokenization - Part One.vtt 17.1 KB
8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.vtt 16.8 KB
1. Introduction/4. Installation and Setup Lecture.vtt 16.6 KB
8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.vtt 15.5 KB
6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.vtt 15.5 KB
5. Text Classification/3. Classification Metrics.vtt 15.4 KB
8. Deep Learning for NLP/13. Creating Chat Bots with Python - Part Two.vtt 14.4 KB
2. Python Text Basics/2. Working with Text Files with Python - Part One.vtt 14.3 KB
7. Topic Modeling/7. Non-negative Matrix Factorization with Python.vtt 13.9 KB
8. Deep Learning for NLP/7. LSTMs, GRU, and Text Generation.vtt 13.4 KB
7. Topic Modeling/3. Latent Dirichlet Allocation Overview.vtt 13.4 KB
5. Text Classification/4. Confusion Matrix.vtt 13.3 KB
6. Semantics and Sentiment Analysis/8. Sentiment Analysis Project Assessment - Solutions.vtt 13.2 KB
8. Deep Learning for NLP/12. Creating Chat Bots with Python - Part One.vtt 12.9 KB
5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.vtt 12.7 KB
7. Topic Modeling/4. Latent Dirichlet Allocation with Python - Part One.vtt 11.2 KB
3. Natural Language Processing Basics/7. Stemming.vtt 11.0 KB
4. Part of Speech Tagging and Named Entity Recognition/4. Named Entity Recognition - Part One.vtt 10.9 KB
5. Text Classification/7. Scikit-Learn Primer - Code Along Part Two.vtt 10.4 KB
4. Part of Speech Tagging and Named Entity Recognition/5. Named Entity Recognition - Part Two.vtt 10.2 KB
3. Natural Language Processing Basics/2. Spacy Setup and Overview.vtt 10.1 KB
8. Deep Learning for NLP/6. Recurrent Neural Network Overview.vtt 10.1 KB
8. Deep Learning for NLP/11. Chat Bots Overview.vtt 9.8 KB
6. Semantics and Sentiment Analysis/2. Overview of Semantics and Word Vectors.vtt 9.4 KB
6. Semantics and Sentiment Analysis/6. Sentiment Analysis Code Along Movie Review Project.vtt 9.0 KB
4. Part of Speech Tagging and Named Entity Recognition/6. Visualizing Named Entity Recognition.vtt 8.7 KB
4. Part of Speech Tagging and Named Entity Recognition/9. Part Of Speech Assessment - Solutions.vtt 8.7 KB
2. Python Text Basics/8. Python Text Basics - Assessment Solutions.vtt 8.6 KB
8. Deep Learning for NLP/3. Introduction to Neural Networks.vtt 8.6 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 8.5 KB
7. Topic Modeling/6. Non-negative Matrix Factorization Overview.vtt 8.3 KB
3. Natural Language Processing Basics/8. Lemmatization.vtt 8.1 KB
7. Topic Modeling/9. Topic Modeling Project - Solutions.vtt 7.8 KB
5. Text Classification/13. Text Classification Assessment Solutions.vtt 7.6 KB
3. Natural Language Processing Basics/6. Tokenization - Part Two.vtt 7.5 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 7.5 KB
8. Deep Learning for NLP/5. Keras Basics - Part Two.vtt 6.8 KB
8. Deep Learning for NLP/2. The Basic Perceptron Model.vtt 6.8 KB
1. Introduction/1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.vtt 6.2 KB
6. Semantics and Sentiment Analysis/4. Sentiment Analysis Overview.vtt 6.0 KB
3. Natural Language Processing Basics/9. Stop Words.vtt 5.6 KB
7. Topic Modeling/8. Topic Modeling Project - Overview.vtt 5.2 KB
1. Introduction/5. FAQ - Frequently Asked Questions.html 5.1 KB
1. Introduction/3. Curriculum Overview.vtt 4.3 KB
3. Natural Language Processing Basics/12. NLP Basics Assessment Overview.vtt 4.1 KB
6. Semantics and Sentiment Analysis/7. Sentiment Analysis Project Assessment.vtt 4.0 KB
3. Natural Language Processing Basics/3. What is Natural Language Processing.vtt 3.9 KB
4. Part of Speech Tagging and Named Entity Recognition/8. Part Of Speech Assessment.vtt 3.3 KB
2. Python Text Basics/7. Python Text Basics - Assessment Overview.vtt 3.2 KB
7. Topic Modeling/2. Overview of Topic Modeling.vtt 2.6 KB
5. Text Classification/1. Introduction to Text Classification.vtt 1.1 KB
8. Deep Learning for NLP/1. Introduction to Deep Learning for NLP.vtt 1.1 KB
3. Natural Language Processing Basics/1. Introduction to Natural Language Processing.vtt 866 bytes
2. Python Text Basics/1. Introduction to Python Text Basics.vtt 795 bytes
7. Topic Modeling/1. Introduction to Topic Modeling Section.vtt 760 bytes
4. Part of Speech Tagging and Named Entity Recognition/1. Introduction to Section on POS and NER.vtt 669 bytes
6. Semantics and Sentiment Analysis/1. Introduction to Semantics and Sentiment Analysis.vtt 581 bytes
1. Introduction/2. Quick Check.html 150 bytes
1. Introduction/4.1 Link for .yml file (Should work for all Operating Systems).html 127 bytes
[FreeCourseLab.com].url 126 bytes
8. Deep Learning for NLP/11.1 End to End Networks.html 97 bytes

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

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