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种子名称： free-course-site.com-udemy-nlp-natural-language-processing-with-python_202102
文件类型： 视频
文件数目： 78个文件
文件大小： 4.3 GB
收录时间： 2021-8-5 19:50
已经下载： 3次
资源热度： 323
最近下载： 2024-11-19 01:46

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free-course-site.com-udemy-nlp-natural-language-processing-with-python_202102.torrent

1. Introduction/1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.mp423.19MB

1. Introduction/3. Curriculum Overview.mp414.32MB

1. Introduction/4. Installation and Setup Lecture.mp488.11MB

2. Python Text Basics/1. Introduction to Python Text Basics.mp43.68MB

2. Python Text Basics/2. Working with Text Files with Python - Part One.mp465.16MB

2. Python Text Basics/3. Working with Text Files with Python - Part Two.mp4118.48MB

2. Python Text Basics/4. Working with PDFs.mp473.85MB

2. Python Text Basics/5. Regular Expressions Part One.mp495.15MB

2. Python Text Basics/6. Regular Expressions Part Two.mp461.14MB

2. Python Text Basics/7. Python Text Basics - Assessment Overview.mp420.4MB

2. Python Text Basics/8. Python Text Basics - Assessment Solutions.mp450.01MB

3. Natural Language Processing Basics/1. Introduction to Natural Language Processing.mp44.15MB

3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.mp4108.07MB

3. Natural Language Processing Basics/11. Phrase Matching and Vocabulary - Part Two.mp453.13MB

3. Natural Language Processing Basics/12. NLP Basics Assessment Overview.mp425.69MB

3. Natural Language Processing Basics/13. NLP Basics Assessment Solution.mp457.84MB

3. Natural Language Processing Basics/2. Spacy Setup and Overview.mp456.16MB

3. Natural Language Processing Basics/3. What is Natural Language Processing.mp419.08MB

3. Natural Language Processing Basics/4. Spacy Basics.mp4128.29MB

3. Natural Language Processing Basics/5. Tokenization - Part One.mp476.2MB

3. Natural Language Processing Basics/6. Tokenization - Part Two.mp445.85MB

3. Natural Language Processing Basics/7. Stemming.mp451.82MB

3. Natural Language Processing Basics/8. Lemmatization.mp445.04MB

3. Natural Language Processing Basics/9. Stop Words.mp437.32MB

4. Part of Speech Tagging and Named Entity Recognition/1. Introduction to Section on POS and NER.mp43.55MB

4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.mp4110.02MB

4. Part of Speech Tagging and Named Entity Recognition/3. Visualizing Part of Speech.mp432.82MB

4. Part of Speech Tagging and Named Entity Recognition/4. Named Entity Recognition - Part One.mp467.08MB

4. Part of Speech Tagging and Named Entity Recognition/5. Named Entity Recognition - Part Two.mp463.23MB

4. Part of Speech Tagging and Named Entity Recognition/6. Visualizing Named Entity Recognition.mp451.64MB

4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.mp493.7MB

4. Part of Speech Tagging and Named Entity Recognition/8. Part Of Speech Assessment.mp418.84MB

4. Part of Speech Tagging and Named Entity Recognition/9. Part Of Speech Assessment - Solutions.mp461.04MB

5. Text Classification/1. Introduction to Text Classification.mp45.42MB

5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.mp489.35MB

5. Text Classification/11. Text Classification Code Along Project.mp466.62MB

5. Text Classification/12. Text Classification Assessment Overview.mp49.3MB

5. Text Classification/13. Text Classification Assessment Solutions.mp442.98MB

5. Text Classification/2. Machine Learning Overview.mp450.72MB

5. Text Classification/3. Classification Metrics.mp461.92MB

5. Text Classification/4. Confusion Matrix.mp453.86MB

5. Text Classification/5. Scikit-Learn Primer - How to Use SciKit-Learn.mp421.38MB

5. Text Classification/6. Scikit-Learn Primer - Code Along Part One.mp488.28MB

5. Text Classification/7. Scikit-Learn Primer - Code Along Part Two.mp455.93MB

5. Text Classification/8. Text Feature Extraction Overview.mp434.91MB

5. Text Classification/9. Text Feature Extraction - Code Along Implementations.mp4108.17MB

6. Semantics and Sentiment Analysis/1. Introduction to Semantics and Sentiment Analysis.mp42.19MB

6. Semantics and Sentiment Analysis/2. Overview of Semantics and Word Vectors.mp440.22MB

6. Semantics and Sentiment Analysis/3. Semantics and Word Vectors with Spacy.mp4114.7MB

6. Semantics and Sentiment Analysis/4. Sentiment Analysis Overview.mp430.39MB

6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.mp491.1MB

6. Semantics and Sentiment Analysis/6. Sentiment Analysis Code Along Movie Review Project.mp448.72MB

6. Semantics and Sentiment Analysis/7. Sentiment Analysis Project Assessment.mp425.1MB

6. Semantics and Sentiment Analysis/8. Sentiment Analysis Project Assessment - Solutions.mp488.9MB

7. Topic Modeling/1. Introduction to Topic Modeling Section.mp44.28MB

7. Topic Modeling/2. Overview of Topic Modeling.mp412.94MB

7. Topic Modeling/3. Latent Dirichlet Allocation Overview.mp460.2MB

7. Topic Modeling/4. Latent Dirichlet Allocation with Python - Part One.mp459.89MB

7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.mp4128.4MB

7. Topic Modeling/6. Non-negative Matrix Factorization Overview.mp441.64MB

7. Topic Modeling/7. Non-negative Matrix Factorization with Python.mp483.7MB

7. Topic Modeling/8. Topic Modeling Project - Overview.mp430.67MB

7. Topic Modeling/9. Topic Modeling Project - Solutions.mp456.92MB

8. Deep Learning for NLP/1. Introduction to Deep Learning for NLP.mp45.11MB

8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.mp499.52MB

8. Deep Learning for NLP/11. Chat Bots Overview.mp442MB

8. Deep Learning for NLP/12. Creating Chat Bots with Python - Part One.mp451.22MB

8. Deep Learning for NLP/13. Creating Chat Bots with Python - Part Two.mp473.33MB

8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.mp4117.08MB

8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.mp4125.51MB

8. Deep Learning for NLP/2. The Basic Perceptron Model.mp422.15MB

8. Deep Learning for NLP/3. Introduction to Neural Networks.mp429.46MB

8. Deep Learning for NLP/4. Keras Basics - Part One.mp490.87MB

8. Deep Learning for NLP/5. Keras Basics - Part Two.mp437.05MB

8. Deep Learning for NLP/6. Recurrent Neural Network Overview.mp433.42MB

8. Deep Learning for NLP/7. LSTMs, GRU, and Text Generation.mp449.25MB

8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.mp4100.91MB

8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.mp491.19MB