Udemy - NLP – Natural Language Processing with Python

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 4.5 GB
  • Uploaded By CourseClub
  • Downloads 705
  • Last checked 1 month ago
  • Date uploaded 6 years ago
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Infohash : B02735D81BC7990BF871D7E2D5CF6601816CE9DC



NLP – Natural Language Processing with Python

Learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing

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Files:

[DesireCourse.Com] Udemy - NLP - Natural Language Processing with Python 1. Introduction
  • 1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.mp4 (35.7 MB)
  • 1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.srt (7.1 KB)
  • 1.1 UPDATED_NLP_COURSE.zip.zip (89.5 MB)
  • 2. Quick Check.html (0.1 KB)
  • 3. Curriculum Overview.mp4 (20.3 MB)
  • 3. Curriculum Overview.srt (4.8 KB)
  • 4. Installation and Setup Lecture.mp4 (89.1 MB)
  • 4. Installation and Setup Lecture.srt (19.0 KB)
  • 4.1 Link for .yml file (Should work for all Operating Systems).html (0.1 KB)
  • 5. FAQ - Frequently Asked Questions.html (5.1 KB)
  • 5.1 UPDATED_NLP_COURSE.zip.zip (89.5 MB)
2. Python Text Basics
  • 1. Introduction to Python Text Basics.mp4 (3.7 MB)
  • 1. Introduction to Python Text Basics.srt (0.9 KB)
  • 2. Working with Text Files with Python - Part One.mp4 (65.2 MB)
  • 2. Working with Text Files with Python - Part One.srt (16.4 KB)
  • 3. Working with Text Files with Python - Part Two.mp4 (118.5 MB)
  • 3. Working with Text Files with Python - Part Two.srt (28.2 KB)
  • 4. Working with PDFs.mp4 (73.9 MB)
  • 4. Working with PDFs.srt (16.2 KB)
  • 5. Regular Expressions Part One.mp4 (95.2 MB)
  • 5. Regular Expressions Part One.srt (21.3 KB)
  • 6. Regular Expressions Part Two.mp4 (61.1 MB)
  • 6. Regular Expressions Part Two.srt (13.5 KB)
  • 7. Python Text Basics - Assessment Overview.mp4 (20.4 MB)
  • 7. Python Text Basics - Assessment Overview.srt (3.7 KB)
  • 8. Python Text Basics - Assessment Solutions.mp4 (50.0 MB)
  • 8. Python Text Basics - Assessment Solutions.srt (9.9 KB)
3. Natural Language Processing Basics
  • 1. Introduction to Natural Language Processing.mp4 (4.1 MB)
  • 1. Introduction to Natural Language Processing.srt (0.9 KB)
  • 10. Phrase Matching and Vocabulary - Part One.mp4 (108.1 MB)
  • 10. Phrase Matching and Vocabulary - Part One.srt (20.9 KB)
  • 11. Phrase Matching and Vocabulary - Part Two.mp4 (53.1 MB)
  • 11. Phrase Matching and Vocabulary - Part Two.srt (9.7 KB)
  • 12. NLP Basics Assessment Overview.mp4 (25.7 MB)
  • 12. NLP Basics Assessment Overview.srt (4.7 KB)
  • 13. NLP Basics Assessment Solution.mp4 (57.8 MB)
  • 13. NLP Basics Assessment Solution.srt (9.7 KB)
  • 2. Spacy Setup and Overview.mp4 (56.2 MB)
  • 2. Spacy Setup and Overview.srt (11.5 KB)
  • 3. What is Natural Language Processing.mp4 (19.1 MB)
  • 3. What is Natural Language Processing.srt (4.4 KB)
  • 4. Spacy Basics.mp4 (128.3 MB)
  • 4. Spacy Basics.srt (26.6 KB)
  • 5. Tokenization - Part One.mp4 (76.2 MB)
  • 5. Tokenization - Part One.srt (19.6 KB)
  • 6. Tokenization - Part Two.mp4 (45.8 MB)
  • 6. Tokenization - Part Two.srt (8.6 KB)
  • 7. Stemming.mp4 (51.8 MB)
  • 7. Stemming.srt (12.4 KB)
  • 8. Lemmatization.mp4 (45.0 MB)
  • 8. Lemmatization.srt (9.2 KB)
  • 9. Stop Words.mp4 (37.3 MB)
  • 9. Stop Words.srt (6.4 KB)
4. Part of Speech Tagging and Named Entity Recognition
  • 1. Introduction to Section on POS and NER.mp4 (3.5 MB)
  • 1. Introduction to Section on POS and NER.srt (0.7 KB)
  • 2. Part of Speech Tagging.mp4 (110.0 MB)
  • 2. Part of Speech Tagging.srt (23.3 KB)
  • 3. Visualizing Part of Speech.mp4 (32.8 MB)
  • 3. Visualizing Part of Speech.srt (8.6 KB)
  • 4. Named Entity Recognition - Part One.mp4 (67.1 MB)
  • 4. Named Entity Recognition - Part One.srt (12.5 KB)
  • 5. Named Entity Recognition - Part Two.mp4 (63.2 MB)
  • 5. Named Entity Recognition - Part Two.srt (11.5 KB)
  • 6. Visualizing Named Entity Recognition.mp4 (51.6 MB)
  • 6. Visualizing Named Entity Recognition.srt (10.0 KB)
  • 7. Sentence Segmentation.mp4 (93.7 MB)
  • 7. Sentence Segmentation.srt (20.9 KB)
  • 8. Part Of Speech Assessment.mp4 (18.8 MB)
  • 8. Part Of Speech Assessment.srt (3.7 KB)
  • 9. Part Of Speech Assessment - Solutions.mp4 (61.0 MB)
  • 9. Part Of Speech Assessment - Solutions.srt (9.9 KB)
5. Text Classification
  • 1. Introduction to Text Classification.mp4 (5.4 MB)
  • 1. Introduction to Text Classification.srt (1.3 KB)
  • 10. Text Feature Extraction - Code Along - Part Two.mp4 (89.4 MB)
  • 10. Text Feature Extraction - Code Along - Part Two.srt (14.6 KB)
  • 11. Text Classification Code Along Project.mp4 (66.6 MB)
  • 11. Text Classification Code Along Project.srt (14.3 KB)
  • 12. Text Classification Assessment Overview.mp4 (9.3 MB)
  • 12. Text Classification Assessment Overview.srt (1.8 KB)
  • 13. Text Classification Assessment Solutions.mp4 (43.0 MB)
  • 13. Text Classification Assessment Solutions.srt (8.7 KB)
  • 2. Machine Learning Overview.mp4 (50.7 MB)
  • 2. Machine Learning Overview.srt (14.9 KB)
  • 3. Classification Metrics.mp4 (61.9 MB)
  • 3. Classification Metrics.srt (17.5 KB)
  • 4. Confusion Matrix.mp4 (53.9 MB)
  • 4. Confusion Matrix.srt (15.2 KB)
  • 5. Scikit-Learn Primer - How to Use SciKit-Learn.mp4 (21.4 MB)
  • 5. Scikit-Learn Primer - How to Use SciKit-Learn.srt (6.8 KB)
  • 6. Scikit-Learn Primer - Code Along Part One.mp4 (88.3 MB)
  • 6. Scikit-Learn Primer - Code Along Part One.srt (21.8 KB)
  • 7. Scikit-Learn Primer - Code Along Part Two.mp4 (55.9 MB)
  • 7. Scikit-Learn Primer - Code Along Part Two.srt (11.8 KB)
  • 8. Text Feature Extraction Overview.mp4 (34.9 MB)
  • 8. Text Feature Extraction Overview.srt (8.4 KB)
  • 9. Text Feature Extraction - Code Along Implementations.mp4 (108.2 MB)
  • 9. Text Feature Extraction - Code Along Implementations.srt (19.8 KB)
6. Semantics and Sentiment Analysis
  • 1. Introduction to Semantics and Sentiment Analysis.mp4 (2.2 MB)
  • 1. Introduction to Semantics and Sentiment Analysis.srt (0.6 KB)
  • 2. Overview of Semantics and Word Vectors.mp4 (40.2 MB)
  • 2. Overview of Semantics and Word Vectors.srt (10.5 KB)
  • 3. Semantics and Word Vectors with Spacy.mp4 (114.7 MB)
  • 3. Semantics and Word Vectors with Spacy.srt (23.1 KB)
  • 4. Sentiment Analysis Overview.mp4 (30.4 MB)
  • 4. Sentiment Analysis Overview.srt (6.8 KB)
  • 5. Sentiment Analysis with NLTK.mp4 (91.1 MB)
  • 5. Sentiment Analysis with NLTK.srt (17.7 KB)
  • 6. Sentiment Analysis Code Along Movie Review Project.mp4 (48.7 MB)
  • 6. Sentiment Analysis Code Along Movie Review Project.srt (10.2 KB)
  • 7. Sentiment Analysis Project Assessment.mp4 (25.1 MB)
  • 7. Sentiment Analysis Project Assessment.srt (4.5 KB)
  • 8. Sentiment Analysis Project Assessment - Solutions.mp4 (88.9 MB)
  • 8. Sentiment Analysis Project Assessment - Solutions.srt (15.1 KB)
7. Topic Modeling
  • 1. Introduction to Topic Modeling Section.mp4 (4.3 MB)
  • 1. Introduction to Topic Modeling Section.srt (0.8 KB)
  • 2. Overview of Topic Modeling.mp4 (12.9 MB)
  • 2. Overview of Topic Modeling.srt (3.0 KB)
  • 3. Latent Dirichlet Allocation Overview.mp4 (60.2 MB)
  • 3. Latent Dirichlet Allocation Overview.srt (15.0 KB)
  • 4. Latent Dirichlet Allocation with Python - Part One.mp4 (59.9 MB)
  • 4. Latent Dirichlet Allocation with Python - Part One.srt (12.8 KB)
  • 5. Latent Dirichlet Allocation with Python - Part Two.mp4 (128.4 MB)
  • 5. Latent Dirichlet Allocation with Python - Part Two.srt (20.3 KB)
  • 6. Non-negative Matrix Factorization Overview.mp4 (41.6 MB)
  • 6. Non-negative Matrix Factorization Overview.srt (9.3 KB)
  • 7. Non-negative Matrix Factorization with Python.mp4 (83.7 MB)
  • 7. Non-negative Matrix Factorization with Python.srt (15.9 KB)
  • 8. Topic Modeling Project - Overview.mp4 (30.7 MB)
  • 8. Topic Modeling Project - Overview.srt (5.9 KB)
  • 9. Topic Modeling Project - Solutions.mp4 (56.9 MB)
  • 9. Topic Modeling Project - Solutions.srt (8.9 KB)
8. Deep Learning for NLP
  • 1. Introduction to Deep Learning for NLP.mp4 (6.9 MB)
  • 1. Introduction to Deep Learning for NLP.srt (1.2 KB)
  • 10. Text Generation with LSTMS with Keras - Part Three.mp4 (99.5 MB)
  • 10. Text Generation with LSTMS with Keras - Part Three.srt (19.3 KB)
  • 11. Chat Bots Overview.mp4 (42.0 MB)
  • 11. Chat Bots Overview.srt (11.0 KB)
  • 11.1 End to End Networks.html (0.1 KB)
  • 12. Creating Chat Bots with Python - Part One.mp4 (51.2 MB)
  • 12. Creating Chat Bots with Python - Part One.srt (14.8 KB)
  • 13. Creating Chat Bots with Python - Part Two.mp4 (73.3 MB)
  • 13. Creating Chat Bots with Python - Part Two.srt (16.3 KB)
  • 14. Creating Chat Bots with Python - Part Three.mp4 (117.1 MB)
  • 14. Creating Chat Bots with Python - Part Three.srt (22.4 KB)
  • 15. Creating Chat Bots with Python - Part Four.mp4 (143.4 MB)
  • 15. Creating Chat Bots with Python - Part Four.srt (26.3 KB)
  • 2. The Basic Perceptron Model.mp4 (22.1 MB)
  • 2. The Basic Perceptron Model.srt (7.6 KB)
  • 3. Introduction to Neural Networks.mp4 (29.4 MB)
  • 3. Introduction to Neural Networks.srt (9.6 KB)
  • 4. Keras Basics - Part One.mp4 (90.9 MB)
  • 4. Keras Basics - Part One.srt (19.6 KB)
  • 5. Keras Basics - Part Two.mp4 (37.1 MB)
  • 5. Keras Basics - Part Two.srt (7.8 KB)
  • 6. Recurrent Neural Network Overview.mp4 (33.4 MB)
  • 6. Recurrent Neural Network Overview.srt (11.3 KB)
  • 7. LSTMs, GRU, and Text Generation.mp4 (49.3 MB)
  • 7. LSTMs, GRU, and Text Generation.srt (15.3 KB)
  • 8. Text Generation with LSTMs with Keras and Python - Part One.mp4 (100.9 MB)
  • 8. Text Generation with LSTMs with Keras and Python - Part One.srt (22.5 KB)
  • 9. Text Generation with LSTMs with Keras and Python - Part Two.mp4 (91.2 MB)
  • 9. Text Generation with LSTMs with Keras and Python - Part Two.srt (17.8 KB)
  • [DesireCourse.Com].txt (0.7 KB)
  • [DesireCourse.Com].url (0.0 KB)

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