Natural Language Processing - Embeddings and Text Preprocessing in Python
Natural Language Processing - Embeddings and Text Preprocessing in Python metadata, size 906.88 MB, 68 files, category video, indexed at 2026-07-24.
资源标识
Infohash5c59f53a919a292c810c5d676f232135afdcd3ab
总大小906.9 MB
格式mp4
分类视频
文件数68
发掘时间（北京时间）2026-07-24 15:43:47
最后活跃（北京时间）2026-07-24 15:43:47
下载标识
完整磁力链接
magnet:?xt=urn:btih:5c59f53a919a292c810c5d676f232135afdcd3ab&dn=Natural%20Language%20Processing%20-%20Embeddings%20and%20Text%20Preprocessing%20in%20Python
迅雷地址
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjVjNTlmNTNhOTE5YTI5MmM4MTBjNWQ2NzZmMjMyMTM1YWZkY2QzYWImZG49TmF0dXJhbCUyMExhbmd1YWdlJTIwUHJvY2Vzc2luZyUyMC0lMjBFbWJlZGRpbmdzJTIwYW5kJTIwVGV4dCUyMFByZXByb2Nlc3NpbmclMjBpbiUyMFB5dGhvblpa
电驴地址
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Tag
文件列表
| 文件名 | 格式 | 大小 |
|---|---|---|
| 003. Proof that using Jupyter Notebook is the same as not using it.en.srt | srt | 0 B |
| 002. Anaconda Environment Setup.mp4 | mp4 | 66.4 MB |
| 002. Special Offer.en.srt | srt | 1.7 KB |
| 002. Special Offer.mp4 | mp4 | 3.2 MB |
| 001. Where To Get the Code.en.srt | srt | 4.0 KB |
| 001. Where To Get the Code.mp4 | mp4 | 7.1 MB |
| 002. How To Succeed in This Course.en.srt | srt | 4.6 KB |
| 002. How To Succeed in This Course.mp4 | mp4 | 6.3 MB |
| 001. Basic Definitions for NLP.en.srt | srt | 6.6 KB |
| 001. Basic Definitions for NLP.mp4 | mp4 | 12.4 MB |
| 002. What is a Vector.en.srt | srt | 16.0 KB |
| 002. What is a Vector.mp4 | mp4 | 24.8 MB |
| 003. Bag of Words.en.srt | srt | 3.5 KB |
| 003. Bag of Words.mp4 | mp4 | 6.1 MB |
| 004. Count Vectorizer (Theory).en.srt | srt | 20.2 KB |
| 004. Count Vectorizer (Theory).mp4 | mp4 | 30.6 MB |
| 005. Tokenization.en.srt | srt | 20.7 KB |
| 005. Tokenization.mp4 | mp4 | 35.1 MB |
| 006. Stopwords.en.srt | srt | 6.6 KB |
| 006. Stopwords.mp4 | mp4 | 11.6 MB |
| 007. Stemming and Lemmatization.en.srt | srt | 17.0 KB |
| 007. Stemming and Lemmatization.mp4 | mp4 | 29.1 MB |
| 008. Stemming and Lemmatization Demo.en.srt | srt | 14.7 KB |
| 008. Stemming and Lemmatization Demo.mp4 | mp4 | 34.0 MB |
| 009. Count Vectorizer (Code).en.srt | srt | 19.7 KB |
| 009. Count Vectorizer (Code).mp4 | mp4 | 46.6 MB |
| 010. Vector Similarity.en.srt | srt | 16.8 KB |
| 010. Vector Similarity.mp4 | mp4 | 23.7 MB |
| 011. TF-IDF (Theory).en.srt | srt | 19.3 KB |
| 011. TF-IDF (Theory).mp4 | mp4 | 30.2 MB |
| 012. (Interactive) Recommender Exercise Prompt.en.srt | srt | 3.3 KB |
| 012. (Interactive) Recommender Exercise Prompt.mp4 | mp4 | 6.2 MB |
| 013. TF-IDF (Code).en.srt | srt | 26.1 KB |
| 013. TF-IDF (Code).mp4 | mp4 | 58.6 MB |
| 014. Word-to-Index Mapping.en.srt | srt | 14.5 KB |
| 014. Word-to-Index Mapping.mp4 | mp4 | 24.3 MB |
| 015. How to Build TF-IDF From Scratch.en.srt | srt | 19.7 KB |
| 015. How to Build TF-IDF From Scratch.mp4 | mp4 | 38.1 MB |
| 001. Neural Word Embeddings.en.srt | srt | 14.2 KB |
| 001. Neural Word Embeddings.mp4 | mp4 | 22.7 MB |
| 002. Neural Word Embeddings Demo.en.srt | srt | 13.1 KB |
| 002. Neural Word Embeddings Demo.mp4 | mp4 | 30.3 MB |
| 003. How To Do NLP In Other Languages.en.srt | srt | 15.2 KB |
| 003. How To Do NLP In Other Languages.mp4 | mp4 | 27.4 MB |
| 004. Vector Models & Text Preprocessing Summary.en.srt | srt | 5.2 KB |
| 004. Vector Models & Text Preprocessing Summary.mp4 | mp4 | 9.9 MB |
| 001. Pre-Installation Check.en.srt | srt | 6.9 KB |
| 001. Pre-Installation Check.mp4 | mp4 | 11.0 MB |
| 002. Anaconda Environment Setup.en.srt | srt | 21.7 KB |
| 001. Introduction and Outline.mp4 | mp4 | 14.3 MB |
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