Natural Language Processing Fundamentals Techniques Tools and Applications Module Text Processing and Feature Engineering 001 Lesson Preprocessing Techniques en srt

Natural Language Processing Fundamentals Techniques Tools and Applications
Module Text Processing and Feature Engineering 001 Lesson Preprocessing Techniques en srt

Name	Natural Language Processing Fundamentals Techniques, Tools, and Applications	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.1 GB
Total Files	45
Hash	14EC94C6FA7B5CFC87C42FA1504560536AE821C3

/Module 2 Text Processing and Feature Engineering/001. Lesson 2.1 Preprocessing Techniques.en.srt	16.2 KB
/Module 2 Text Processing and Feature Engineering/001. Lesson 2.1 Preprocessing Techniques.mp4	62.7 MB
/Module 2 Text Processing and Feature Engineering/002. Lesson 2.2 Feature Engineering Techniques.en.srt	20.5 KB
/Module 2 Text Processing and Feature Engineering/002. Lesson 2.2 Feature Engineering Techniques.mp4	70.5 MB
/Module 3 Traditional NLP Models/001. Lesson 3.1 Probabilistic Models.en.srt	20.5 KB
/Module 5 Beyond the NLP Model/001. Lesson 5.1 Ethical Considerations.en.srt	14.6 KB
/Module 5 Beyond the NLP Model/002. Lesson 5.2 MLOps and LLMOps.en.srt	13.7 KB
/Module 2 Text Processing and Feature Engineering/003. Lesson 2.3 Use Case Who Wrote it Authorship Attribution with Heuristic NLP.en.srt	22.4 KB
/Module 5 Beyond the NLP Model/004. Lesson 5.4 Course Closing.en.srt	3.5 KB
/Module 2 Text Processing and Feature Engineering/003. Lesson 2.3 Use Case Who Wrote it Authorship Attribution with Heuristic NLP.mp4	130.0 MB
/Module 3 Traditional NLP Models/001. Lesson 3.1 Probabilistic Models.mp4	77.5 MB
/Module 5 Beyond the NLP Model/001. Lesson 5.1 Ethical Considerations.mp4	43.5 MB
/Module 5 Beyond the NLP Model/002. Lesson 5.2 MLOps and LLMOps.mp4	46.0 MB
/Module 0 Course Introduction/001. Course Introduction.en.srt	7.5 KB
/Module 4 Advanced NLP Models/003. Lesson 4.3 Large Language Models (LLMs).en.srt	19.1 KB
Showing first 15 files of 45 total files