FreeTutorials-Eu-Udemy-N-1R9SC
1. Introduction\\/1.1 UPDATED_NLP_COURSE.zip.zip89.48MB
1. Introduction\\/1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.mp435.68MB
1. Introduction\\/3. Curriculum Overview.mp420.27MB
1. Introduction\\/4. Installation and Setup Lecture.mp489.08MB
1. Introduction\\/5.1 UPDATED_NLP_COURSE.zip.zip89.47MB
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 ex<x>pressions Part One.mp495.15MB
2. Python Text Basics\\/6. Regular ex<x>pressions Part Two.mp461.14MB
2. Python Text Basics\\/7. Python Text Basics - Assesent Overview.mp420.39MB
2. Python Text Basics\\/8. Python Text Basics - Assesent Solutions.mp450.02MB
3. Natural Language Processing Basics\\/10. Phrase tching and Vocabulary - Part One.mp4108.07MB
3. Natural Language Processing Basics\\/11. Phrase tching and Vocabulary - Part Two.mp453.14MB
3. Natural Language Processing Basics\\/12. NLP Basics Assesent Overview.mp425.69MB
3. Natural Language Processing Basics\\/13. NLP Basics Assesent Solution.mp457.84MB
3. Natural Language Processing Basics\\/1. Introduction to Natural Language Processing.mp44.14MB
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.mp4128.30MB
3. Natural Language Processing Basics\\/5. Tokenization - Part One.mp476.20MB
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. Lemtization.mp445.04MB
3. Natural Language Processing Basics\\/9. S 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.mp467.09MB
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.mp493.70MB
4. Part of Speech Tagging and Named Entity Recognition\\/8. Part Of Speech Assesent.mp418.85MB
4. Part of Speech Tagging and Named Entity Recognition\\/9. Part Of Speech Assesent - Solutions.mp461.04MB
5. Text Classification\\/10. Text Feature Extraction - Code Along - Part Two.mp489.35MB
5. Text Classification\\/11. Text Classification Code Along Project.mp466.63MB
5. Text Classification\\/12. Text Classification Assesent Overview.mp49.30MB
5. Text Classification\\/13. Text Classification Assesent Solutions.mp442.99MB
5. Text Classification\\/1. Introduction to Text Classification.mp45.42MB
5. Text Classification\\/2. chine Learning Overview.mp450.72MB
5. Text Classification\\/3. Classification Metrics.mp461.93MB
5. Text Classification\\/4. Confusion trix.mp453.86MB
5. Text Classification\\/5. Scikit-Learn Primer - How to Use SciKit-Learn.mp421.39MB
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.mp434.92MB
5. Text Classification\\/9. Text Feature Extraction - Code Along Implementations.mp4108.18MB
6. Sentics and Sentiment Analysis\\/1. Introduction to Semantics and Sentiment Analysis.mp42.19MB
6. Sentics and Sentiment Analysis\\/2. Overview of Semantics and Word Vectors.mp440.22MB
6. Sentics and Sentiment Analysis\\/3. Semantics and Word Vectors with Spacy.mp4114.71MB
6. Sentics and Sentiment Analysis\\/4. Sentiment Analysis Overview.mp430.40MB
6. Sentics and Sentiment Analysis\\/5. Sentiment Analysis with NLTK.mp491.10MB
6. Sentics and Sentiment Analysis\\/6. Sentiment Analysis Code Along Movie Review Project.mp448.72MB
6. Sentics and Sentiment Analysis\\/7. Sentiment Analysis Project Assesent.mp425.10MB
6. Sentics and Sentiment Analysis\\/8. Sentiment Analysis Project Assesent - Solutions.mp488.91MB
7. ic Modeling\\/1. Introduction to Topic Modeling Section.mp44.28MB
7. ic Modeling\\/2. Overview of Topic Modeling.mp412.94MB
7. ic Modeling\\/3. Latent Dirichlet Allocation Overview.mp460.20MB
7. ic Modeling\\/4. Latent Dirichlet Allocation with Python - Part One.mp459.90MB
7. ic Modeling\\/5. Latent Dirichlet Allocation with Python - Part Two.mp4128.40MB
7. ic Modeling\\/6. Non-negative trix Factorization Overview.mp441.64MB
7. ic Modeling\\/7. Non-negative trix Factorization with Python.mp483.70MB
7. ic Modeling\\/8. Topic Modeling Project - Overview.mp430.68MB
7. ic Modeling\\/9. Topic Modeling Project - Solutions.mp456.93MB
8. Deep Learning for NLP\\/10. Text Generation with LSTMS with Keras - Part Three.mp499.53MB
8. Deep Learning for NLP\\/11. Chat Bots Overview.mp442.01MB
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.mp4143.41MB
8. Deep Learning for NLP\\/1. Introduction to Deep Learning for NLP.mp46.89MB
8. Deep Learning for NLP\\/2. The Basic Perceptron Model.mp422.15MB
8. Deep Learning for NLP\\/3. Introduction to Neural Networks.mp429.45MB
8. Deep Learning for NLP\\/4. Keras Basics - Part One.mp490.87MB
8. Deep Learning for NLP\\/5. Keras Basics - Part Two.mp437.06MB
8. Deep Learning for NLP\\/6. Recurrent Neural Network Overview.mp433.43MB
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
- CreateTime2023-02-19
- UpdateTime2023-03-08
- FileTotalCount167
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