[UdemyCourseDownloader] Getting Started with Natural Language Processing with Python

• [UdemyCourseDownloader] Getting Started with Natural Language Processing with Python
• 01 - Course Overview.mp4 3.4 MB
• 02 - Recognizing Natural Language Processing Applications.mp4 11.9 MB
• 03 - Understanding NLP Tasks.mp4 5.9 MB
• 04 - Tokenizing Text.mp4 4.4 MB
• 05 - Removing Stopwords.mp4 5.7 MB
• 06 - Identifying Bigrams.mp4 5.1 MB
• 07 - Stemming and POS Tagging.mp4 5.6 MB
• 08 - Disambiguating Word Meanings.mp4 7.3 MB
• 09 - Contrasting Rule Based and Machine Learning Approaches.mp4 5.5 MB
• 10 - Understanding Types of Machine Learning Problems in NLP.mp4 7.4 MB
• 11 - Understanding the Mechanics of Machine Learning.mp4 6 MB
• 12 - Auto-summarizing Text Using a Rule-based Model.mp4 8.7 MB
• 13 - Understanding the Mechanics.mp4 4.1 MB
• 14 - Downloading an Article.mp4 33.6 MB
• 15 - Preprocessing Article Text.mp4 12 MB
• 16 - Extracting a Summary.mp4 18.2 MB
• 17 - Outlining the Objective.mp4 3.4 MB
• 18 - Building a Corpus of Tech Articles.mp4 28.9 MB
• 19 - Understanding the Clustering Workflow.mp4 17.8 MB
• 20 - Identifying Themes Using K-Means Clustering.mp4 21.9 MB
• 21 - Understanding the Classification Workflow.mp4 7.9 MB
• 22 - Assigning a Theme to an Article.mp4 13.7 MB
• python-natural-language-processing.zip 3.9 MB
• Udemy Course downloader.txt 94 B

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