[UdemyCourseDownloader] NLP – NATURAL LANGUAGE PROCESSING WITH PYTHON

Creation Time	Nov. 5, 2023, 11:16 a.m.
Last Access Time	May 10, 2026, 7:04 p.m.
File Size	4.5 GB
Keywords	UdemyCourseDownloader NATURAL LANGUAGE NLP PYTHON PROCESSING – WITH
Total Requests	113
Total Files	164
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8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.mp4 143.4 MB
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
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.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
1. Introduction/4. Installation and Setup Lecture.mp4 89.1 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
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 73.9 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 61.1 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 57.8 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 51.6 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.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 45.8 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 41.6 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
1. Introduction/1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.mp4 35.7 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
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 29.4 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
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
2. Python Text Basics/7. Python Text Basics - Assessment Overview.mp4 20.4 MB
1. Introduction/3. Curriculum Overview.mp4 20.3 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
7. Topic Modeling/2. Overview of Topic Modeling.mp4 12.9 MB
5. Text Classification/12. Text Classification Assessment Overview.mp4 9.3 MB
8. Deep Learning for NLP/1. Introduction to Deep Learning for NLP.mp4 6.9 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 3.5 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.srt 28.2 KB
3. Natural Language Processing Basics/4. Spacy Basics.srt 26.6 KB
8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.srt 26.3 KB
4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.srt 23.3 KB
6. Semantics and Sentiment Analysis/3. Semantics and Word Vectors with Spacy.srt 23.1 KB
8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.srt 22.5 KB
8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.srt 22.4 KB
5. Text Classification/6. Scikit-Learn Primer - Code Along Part One.srt 21.8 KB
2. Python Text Basics/5. Regular Expressions Part One.srt 21.3 KB
3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.srt 20.9 KB
4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.srt 20.9 KB
7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.srt 20.3 KB
5. Text Classification/9. Text Feature Extraction - Code Along Implementations.srt 19.8 KB
8. Deep Learning for NLP/4. Keras Basics - Part One.srt 19.6 KB
3. Natural Language Processing Basics/5. Tokenization - Part One.srt 19.6 KB
8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.srt 19.3 KB
1. Introduction/4. Installation and Setup Lecture.srt 19.0 KB
8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.srt 17.8 KB
6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.srt 17.7 KB
5. Text Classification/3. Classification Metrics.srt 17.5 KB
2. Python Text Basics/2. Working with Text Files with Python - Part One.srt 16.4 KB
8. Deep Learning for NLP/13. Creating Chat Bots with Python - Part Two.srt 16.3 KB
2. Python Text Basics/4. Working with PDFs.srt 16.2 KB
7. Topic Modeling/7. Non-negative Matrix Factorization with Python.srt 15.9 KB
8. Deep Learning for NLP/7. LSTMs, GRU, and Text Generation.srt 15.3 KB
5. Text Classification/4. Confusion Matrix.srt 15.2 KB
6. Semantics and Sentiment Analysis/8. Sentiment Analysis Project Assessment - Solutions.srt 15.1 KB
7. Topic Modeling/3. Latent Dirichlet Allocation Overview.srt 15.0 KB
5. Text Classification/2. Machine Learning Overview.srt 14.9 KB
8. Deep Learning for NLP/12. Creating Chat Bots with Python - Part One.srt 14.8 KB
5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.srt 14.6 KB
5. Text Classification/11. Text Classification Code Along Project.srt 14.3 KB
2. Python Text Basics/6. Regular Expressions Part Two.srt 13.5 KB
7. Topic Modeling/4. Latent Dirichlet Allocation with Python - Part One.srt 12.8 KB
4. Part of Speech Tagging and Named Entity Recognition/4. Named Entity Recognition - Part One.srt 12.5 KB
3. Natural Language Processing Basics/7. Stemming.srt 12.4 KB
5. Text Classification/7. Scikit-Learn Primer - Code Along Part Two.srt 11.8 KB
4. Part of Speech Tagging and Named Entity Recognition/5. Named Entity Recognition - Part Two.srt 11.5 KB
3. Natural Language Processing Basics/2. Spacy Setup and Overview.srt 11.5 KB
8. Deep Learning for NLP/6. Recurrent Neural Network Overview.srt 11.3 KB
8. Deep Learning for NLP/11. Chat Bots Overview.srt 11.0 KB
6. Semantics and Sentiment Analysis/2. Overview of Semantics and Word Vectors.srt 10.5 KB
6. Semantics and Sentiment Analysis/6. Sentiment Analysis Code Along Movie Review Project.srt 10.2 KB
4. Part of Speech Tagging and Named Entity Recognition/6. Visualizing Named Entity Recognition.srt 10.0 KB
4. Part of Speech Tagging and Named Entity Recognition/9. Part Of Speech Assessment - Solutions.srt 9.9 KB
2. Python Text Basics/8. Python Text Basics - Assessment Solutions.srt 9.9 KB
3. Natural Language Processing Basics/11. Phrase Matching and Vocabulary - Part Two.srt 9.7 KB
3. Natural Language Processing Basics/13. NLP Basics Assessment Solution.srt 9.7 KB
8. Deep Learning for NLP/3. Introduction to Neural Networks.srt 9.6 KB
7. Topic Modeling/6. Non-negative Matrix Factorization Overview.srt 9.3 KB
3. Natural Language Processing Basics/8. Lemmatization.srt 9.2 KB
7. Topic Modeling/9. Topic Modeling Project - Solutions.srt 8.9 KB
5. Text Classification/13. Text Classification Assessment Solutions.srt 8.7 KB
3. Natural Language Processing Basics/6. Tokenization - Part Two.srt 8.6 KB
4. Part of Speech Tagging and Named Entity Recognition/3. Visualizing Part of Speech.srt 8.6 KB
5. Text Classification/8. Text Feature Extraction Overview.srt 8.4 KB
8. Deep Learning for NLP/5. Keras Basics - Part Two.srt 7.8 KB
8. Deep Learning for NLP/2. The Basic Perceptron Model.srt 7.6 KB
1. Introduction/1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.srt 7.1 KB
6. Semantics and Sentiment Analysis/4. Sentiment Analysis Overview.srt 6.8 KB
5. Text Classification/5. Scikit-Learn Primer - How to Use SciKit-Learn.srt 6.8 KB
3. Natural Language Processing Basics/9. Stop Words.srt 6.4 KB
7. Topic Modeling/8. Topic Modeling Project - Overview.srt 5.9 KB
1. Introduction/5. FAQ - Frequently Asked Questions.html 5.1 KB
1. Introduction/3. Curriculum Overview.srt 4.8 KB
3. Natural Language Processing Basics/12. NLP Basics Assessment Overview.srt 4.7 KB
6. Semantics and Sentiment Analysis/7. Sentiment Analysis Project Assessment.srt 4.5 KB
3. Natural Language Processing Basics/3. What is Natural Language Processing.srt 4.4 KB
4. Part of Speech Tagging and Named Entity Recognition/8. Part Of Speech Assessment.srt 3.7 KB
2. Python Text Basics/7. Python Text Basics - Assessment Overview.srt 3.7 KB
7. Topic Modeling/2. Overview of Topic Modeling.srt 3.0 KB
5. Text Classification/12. Text Classification Assessment Overview.srt 1.8 KB
5. Text Classification/1. Introduction to Text Classification.srt 1.3 KB
8. Deep Learning for NLP/1. Introduction to Deep Learning for NLP.srt 1.2 KB
3. Natural Language Processing Basics/1. Introduction to Natural Language Processing.srt 970 bytes
2. Python Text Basics/1. Introduction to Python Text Basics.srt 887 bytes
7. Topic Modeling/1. Introduction to Topic Modeling Section.srt 852 bytes
4. Part of Speech Tagging and Named Entity Recognition/1. Introduction to Section on POS and NER.srt 749 bytes
6. Semantics and Sentiment Analysis/1. Introduction to Semantics and Sentiment Analysis.srt 649 bytes
1. Introduction/2. Quick Check.html 150 bytes
udemycoursedownloader.com.url 132 bytes
1. Introduction/4.1 Link for .yml file (Should work for all Operating Systems).html 127 bytes
8. Deep Learning for NLP/11.1 End to End Networks.html 97 bytes
Udemy Course downloader.txt 94 bytes

[UdemyCourseDownloader] NLP – NATURAL LANGUAGE PROCESSING WITH PYTHON

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