| 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. Introduction to Deep Learning for NLP.mp4 | 6.9 MB | ||
| 1. Introduction to Deep Learning for NLP.srt | 1.2 KB | ||
| 1. Introduction to Natural Language Processing.mp4 | 4.1 MB | ||
| 1. Introduction to Natural Language Processing.srt | 921.6 B | ||
| 1. Introduction to Python Text Basics.mp4 | 3.7 MB | ||
| 1. Introduction to Python Text Basics.srt | 921.6 B | ||
| 1. Introduction to Section on POS and NER.mp4 | 3.5 MB | ||
| 1. Introduction to Section on POS and NER.srt | 716.8 B | ||
| 1. Introduction to Semantics and Sentiment Analysis.mp4 | 2.2 MB | ||
| 1. Introduction to Semantics and Sentiment Analysis.srt | 614.4 B | ||
| 1. Introduction to Text Classification.mp4 | 5.4 MB | ||
| 1. Introduction to Text Classification.srt | 1.3 KB | ||
| 1. Introduction to Topic Modeling Section.mp4 | 4.3 MB | ||
| 1. Introduction to Topic Modeling Section.srt | 819.2 B | ||
| 1.1 UPDATED_NLP_COURSE.zip.zip | 89.5 MB | ||
| 10. Phrase Matching and Vocabulary - Part One.mp4 | 108.1 MB | ||
| 10. Phrase Matching and Vocabulary - Part One.srt | 20.9 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 | ||
| 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 MB | ||
| 11. Chat Bots Overview.srt | 11 KB | ||
| 11. Phrase Matching and Vocabulary - Part Two.mp4 | 53.1 MB | ||
| 11. Phrase Matching and Vocabulary - Part Two.srt | 9.7 KB | ||
| 11. Text Classification Code Along Project.mp4 | 66.6 MB | ||
| 11. Text Classification Code Along Project.srt | 14.3 KB | ||
| 11.1 End to End Networks.html | 102.4 B | ||
| 12. Creating Chat Bots with Python - Part One.mp4 | 51.2 MB | ||
| 12. Creating Chat Bots with Python - Part One.srt | 14.8 KB | ||
| 12. NLP Basics Assessment Overview.mp4 | 25.7 MB | ||
| 12. NLP Basics Assessment Overview.srt | 4.7 KB | ||
| 12. Text Classification Assessment Overview.mp4 | 9.3 MB | ||
| 12. Text Classification Assessment Overview.srt | 1.8 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 | ||
| 13. NLP Basics Assessment Solution.mp4 | 57.8 MB | ||
| 13. NLP Basics Assessment Solution.srt | 9.7 KB | ||
| 13. Text Classification Assessment Solutions.mp4 | 43 MB | ||
| 13. Text Classification Assessment Solutions.srt | 8.7 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. Machine Learning Overview.mp4 | 50.7 MB | ||
| 2. Machine Learning Overview.srt | 14.9 KB | ||
| 2. Overview of Semantics and Word Vectors.mp4 | 40.2 MB | ||
| 2. Overview of Semantics and Word Vectors.srt | 10.5 KB | ||
| 2. Overview of Topic Modeling.mp4 | 12.9 MB | ||
| 2. Overview of Topic Modeling.srt | 3 KB | ||
| 2. Part of Speech Tagging.mp4 | 110 MB | ||
| 2. Part of Speech Tagging.srt | 23.3 KB | ||
| 2. Quick Check.html | 102.4 B | ||
| 2. Spacy Setup and Overview.mp4 | 56.2 MB | ||
| 2. Spacy Setup and Overview.srt | 11.5 KB | ||
| 2. The Basic Perceptron Model.mp4 | 22.1 MB | ||
| 2. The Basic Perceptron Model.srt | 7.6 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. Classification Metrics.mp4 | 61.9 MB | ||
| 3. Classification Metrics.srt | 17.5 KB | ||
| 3. Curriculum Overview.mp4 | 20.3 MB | ||
| 3. Curriculum Overview.srt | 4.8 KB | ||
| 3. Introduction to Neural Networks.mp4 | 29.4 MB | ||
| 3. Introduction to Neural Networks.srt | 9.6 KB | ||
| 3. Latent Dirichlet Allocation Overview.mp4 | 60.2 MB | ||
| 3. Latent Dirichlet Allocation Overview.srt | 15 KB | ||
| 3. Semantics and Word Vectors with Spacy.mp4 | 114.7 MB | ||
| 3. Semantics and Word Vectors with Spacy.srt | 23.1 KB | ||
| 3. Visualizing Part of Speech.mp4 | 32.8 MB | ||
| 3. Visualizing Part of Speech.srt | 8.6 KB | ||
| 3. What is Natural Language Processing.mp4 | 19.1 MB | ||
| 3. What is Natural Language Processing.srt | 4.4 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. Confusion Matrix.mp4 | 53.9 MB | ||
| 4. Confusion Matrix.srt | 15.2 KB | ||
| 4. Installation and Setup Lecture.mp4 | 89.1 MB | ||
| 4. Installation and Setup Lecture.srt | 19 KB | ||
| 4. Keras Basics - Part One.mp4 | 90.9 MB | ||
| 4. Keras Basics - Part One.srt | 19.6 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 | ||
| 4. Named Entity Recognition - Part One.mp4 | 67.1 MB | ||
| 4. Named Entity Recognition - Part One.srt | 12.5 KB | ||
| 4. Sentiment Analysis Overview.mp4 | 30.4 MB | ||
| 4. Sentiment Analysis Overview.srt | 6.8 KB | ||
| 4. Spacy Basics.mp4 | 128.3 MB | ||
| 4. Spacy Basics.srt | 26.6 KB | ||
| 4. Working with PDFs.mp4 | 73.9 MB | ||
| 4. Working with PDFs.srt | 16.2 KB | ||
| 4.1 Link for .yml file (Should work for all Operating Systems).html | 102.4 B | ||
| 5. FAQ - Frequently Asked Questions.html | 5.1 KB | ||
| 5. Keras Basics - Part Two.mp4 | 37.1 MB | ||
| 5. Keras Basics - Part Two.srt | 7.8 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 | ||
| 5. Named Entity Recognition - Part Two.mp4 | 63.2 MB | ||
| 5. Named Entity Recognition - Part Two.srt | 11.5 KB | ||
| 5. Regular Expressions Part One.mp4 | 95.2 MB | ||
| 5. Regular Expressions Part One.srt | 21.3 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 | ||
| 5. Sentiment Analysis with NLTK.mp4 | 91.1 MB | ||
| 5. Sentiment Analysis with NLTK.srt | 17.7 KB | ||
| 5. Tokenization - Part One.mp4 | 76.2 MB | ||
| 5. Tokenization - Part One.srt | 19.6 KB | ||
| 5.1 UPDATED_NLP_COURSE.zip.zip | 89.5 MB | ||
| 6. Non-negative Matrix Factorization Overview.mp4 | 41.6 MB | ||
| 6. Non-negative Matrix Factorization Overview.srt | 9.3 KB | ||
| 6. Recurrent Neural Network Overview.mp4 | 33.4 MB | ||
| 6. Recurrent Neural Network Overview.srt | 11.3 KB | ||
| 6. Regular Expressions Part Two.mp4 | 61.1 MB | ||
| 6. Regular Expressions Part Two.srt | 13.5 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 | ||
| 6. Sentiment Analysis Code Along Movie Review Project.mp4 | 48.7 MB | ||
| 6. Sentiment Analysis Code Along Movie Review Project.srt | 10.2 KB | ||
| 6. Tokenization - Part Two.mp4 | 45.8 MB | ||
| 6. Tokenization - Part Two.srt | 8.6 KB | ||
| 6. Visualizing Named Entity Recognition.mp4 | 51.6 MB | ||
| 6. Visualizing Named Entity Recognition.srt | 10 KB | ||
| 7. LSTMs, GRU, and Text Generation.mp4 | 49.3 MB | ||
| 7. LSTMs, GRU, and Text Generation.srt | 15.3 KB | ||
| 7. Non-negative Matrix Factorization with Python.mp4 | 83.7 MB | ||
| 7. Non-negative Matrix Factorization with Python.srt | 15.9 KB | ||
| 7. Python Text Basics - Assessment Overview.mp4 | 20.4 MB | ||
| 7. Python Text Basics - Assessment Overview.srt | 3.7 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 | ||
| 7. Sentence Segmentation.mp4 | 93.7 MB | ||
| 7. Sentence Segmentation.srt | 20.9 KB | ||
| 7. Sentiment Analysis Project Assessment.mp4 | 25.1 MB | ||
| 7. Sentiment Analysis Project Assessment.srt | 4.5 KB | ||
| 7. Stemming.mp4 | 51.8 MB | ||
| 7. Stemming.srt | 12.4 KB | ||
| 8. Lemmatization.mp4 | 45 MB | ||
| 8. Lemmatization.srt | 9.2 KB | ||
| 8. Part Of Speech Assessment.mp4 | 18.8 MB | ||
| 8. Part Of Speech Assessment.srt | 3.7 KB | ||
| 8. Python Text Basics - Assessment Solutions.mp4 | 50 MB | ||
| 8. Python Text Basics - Assessment Solutions.srt | 9.9 KB | ||
| 8. Sentiment Analysis Project Assessment - Solutions.mp4 | 88.9 MB | ||
| 8. Sentiment Analysis Project Assessment - Solutions.srt | 15.1 KB | ||
| 8. Text Feature Extraction Overview.mp4 | 34.9 MB | ||
| 8. Text Feature Extraction Overview.srt | 8.4 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 | ||
| 8. Topic Modeling Project - Overview.mp4 | 30.7 MB | ||
| 8. Topic Modeling Project - Overview.srt | 5.9 KB | ||
| 9. Part Of Speech Assessment - Solutions.mp4 | 61 MB | ||
| 9. Part Of Speech Assessment - Solutions.srt | 9.9 KB | ||
| 9. Stop Words.mp4 | 37.3 MB | ||
| 9. Stop Words.srt | 6.4 KB | ||
| 9. Text Feature Extraction - Code Along Implementations.mp4 | 108.2 MB | ||
| 9. Text Feature Extraction - Code Along Implementations.srt | 19.8 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 | ||
| 9. Topic Modeling Project - Solutions.mp4 | 56.9 MB | ||
| 9. Topic Modeling Project - Solutions.srt | 8.9 KB | ||
| [DesireCourse.Com].txt | 716.8 B | ||
| [DesireCourse.Com].url | 0 B | ||
| ▲ 164 total files | |||
NLP – Natural Language Processing with Python
Learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing
For More Courses Visit: https://desirecourse.com
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 2.7 GB | freecoursewb | 4 months | 1 | 0 | |
| 2.5 GB | freecoursewb | 6 months | 7 | 0 | |
| 1.6 GB | freecoursewb | 8 months | 1 | 1 | |
| 2 GB | freecoursewb | 1 year | 2 | 0 | |
| 849 MB | freecoursewb | 1 year | 2 | 0 |
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