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

FreeCourseSite Udemy Natural Language Processing with Python

种子大小：4.47 GB

收录时间：2019-08-21

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文件列表：165File

7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.mp4128.4 MB
3. Natural Language Processing Basics/4. Spacy Basics.mp4128.29 MB
8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.mp4125.51 MB
2. Python Text Basics/3. Working with Text Files with Python - Part Two.mp4118.48 MB
8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.mp4117.08 MB
6. Semantics and Sentiment Analysis/3. Semantics and Word Vectors with Spacy.mp4114.7 MB
4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.mp4110.02 MB
5. Text Classification/9. Text Feature Extraction - Code Along Implementations.mp4108.17 MB
3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.mp4108.07 MB
8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.mp4100.91 MB
8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.mp499.52 MB
2. Python Text Basics/5. Regular Expressions Part One.mp495.15 MB
4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.mp493.7 MB
8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.mp491.19 MB
6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.mp491.1 MB
8. Deep Learning for NLP/4. Keras Basics - Part One.mp490.87 MB
1. Introduction/1.1 UPDATED_NLP_COURSE.zip.zip89.47 MB
1. Introduction/5.1 UPDATED_NLP_COURSE.zip.zip89.47 MB
5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.mp489.35 MB
6. Semantics and Sentiment Analysis/8. Sentiment Analysis Project Assessment - Solutions.mp488.9 MB
5. Text Classification/6. Scikit-Learn Primer - Code Along Part One.mp488.28 MB
1. Introduction/4. Installation and Setup Lecture.mp488.11 MB
7. Topic Modeling/7. Non-negative Matrix Factorization with Python.mp483.7 MB
3. Natural Language Processing Basics/5. Tokenization - Part One.mp476.2 MB
2. Python Text Basics/4. Working with PDFs.mp473.85 MB
8. Deep Learning for NLP/13. Creating Chat Bots with Python - Part Two.mp473.33 MB
4. Part of Speech Tagging and Named Entity Recognition/4. Named Entity Recognition - Part One.mp467.08 MB
5. Text Classification/11. Text Classification Code Along Project.mp466.62 MB
2. Python Text Basics/2. Working with Text Files with Python - Part One.mp465.16 MB
4. Part of Speech Tagging and Named Entity Recognition/5. Named Entity Recognition - Part Two.mp463.23 MB
5. Text Classification/3. Classification Metrics.mp461.92 MB
2. Python Text Basics/6. Regular Expressions Part Two.mp461.14 MB
4. Part of Speech Tagging and Named Entity Recognition/9. Part Of Speech Assessment - Solutions.mp461.04 MB
7. Topic Modeling/3. Latent Dirichlet Allocation Overview.mp460.2 MB
7. Topic Modeling/4. Latent Dirichlet Allocation with Python - Part One.mp459.89 MB
3. Natural Language Processing Basics/13. NLP Basics Assessment Solution.mp457.84 MB
7. Topic Modeling/9. Topic Modeling Project - Solutions.mp456.92 MB
3. Natural Language Processing Basics/2. Spacy Setup and Overview.mp456.16 MB
5. Text Classification/7. Scikit-Learn Primer - Code Along Part Two.mp455.93 MB
5. Text Classification/4. Confusion Matrix.mp453.86 MB
3. Natural Language Processing Basics/11. Phrase Matching and Vocabulary - Part Two.mp453.13 MB
3. Natural Language Processing Basics/7. Stemming.mp451.82 MB
4. Part of Speech Tagging and Named Entity Recognition/6. Visualizing Named Entity Recognition.mp451.64 MB
8. Deep Learning for NLP/12. Creating Chat Bots with Python - Part One.mp451.22 MB
5. Text Classification/2. Machine Learning Overview.mp450.72 MB
2. Python Text Basics/8. Python Text Basics - Assessment Solutions.mp450.01 MB
8. Deep Learning for NLP/7. LSTMs, GRU, and Text Generation.mp449.25 MB
6. Semantics and Sentiment Analysis/6. Sentiment Analysis Code Along Movie Review Project.mp448.72 MB
3. Natural Language Processing Basics/6. Tokenization - Part Two.mp445.85 MB
3. Natural Language Processing Basics/8. Lemmatization.mp445.04 MB