| 1. Conclusion.mp4 | 5.2 MB | ||
| 1. Conclusion.srt | 409.6 B | ||
| 1. Course Introduction.mp4 | 27 MB | ||
| 1. Course Introduction.srt | 1.9 KB | ||
| 1. Section 2 Introduction.mp4 | 12.5 MB | ||
| 1. Section 2 Introduction.srt | 921.6 B | ||
| 1. Section 3 Introduction.mp4 | 13.1 MB | ||
| 1. Section 3 Introduction.srt | 1.1 KB | ||
| 1. Section 4 Introduction.mp4 | 12.3 MB | ||
| 1. Section 4 Introduction.srt | 1 KB | ||
| 1. Section 5 Introduction.mp4 | 7.7 MB | ||
| 1. Section 5 Introduction.srt | 614.4 B | ||
| 2. Bonus Section.html | 614.4 B | ||
| 2. Section 2 Links.html | 307.2 B | ||
| 2. Section 3 Links.html | 307.2 B | ||
| 2. Section 4 Links.html | 307.2 B | ||
| 2. Section 5 Links.html | 512 B | ||
| 3. Create a TextBlob.mp4 | 37.9 MB | ||
| 3. Create a TextBlob.srt | 10.7 KB | ||
| 3. Sentiment Analysis.mp4 | 17.8 MB | ||
| 3. Sentiment Analysis.srt | 5.8 KB | ||
| 3. Synsets.mp4 | 27.5 MB | ||
| 3. Synsets.srt | 7.9 KB | ||
| 3. Word Frequency.mp4 | 7.6 MB | ||
| 3. Word Frequency.srt | 2.1 KB | ||
| 4. Data Preprocessing.mp4 | 23.6 MB | ||
| 4. Data Preprocessing.srt | 7.3 KB | ||
| 4. Get Definitions.mp4 | 11.2 MB | ||
| 4. Get Definitions.srt | 2.7 KB | ||
| 4. GetFormat Data With Hugging Face's Datasets Library.mp4 | 66.1 MB | ||
| 4. GetFormat Data With Hugging Face's Datasets Library.srt | 11.8 KB | ||
| 4. Tokenization.mp4 | 22.8 MB | ||
| 4. Tokenization.srt | 6.1 KB | ||
| 5. Part-of-Speech Tagging.mp4 | 15.9 MB | ||
| 5. Part-of-Speech Tagging.srt | 4.7 KB | ||
| 5. Similarity.mp4 | 11.5 MB | ||
| 5. Similarity.srt | 3.6 KB | ||
| 5. Spell Checking.mp4 | 11.6 MB | ||
| 5. Spell Checking.srt | 4.1 KB | ||
| 5. Train a Model.mp4 | 28.2 MB | ||
| 5. Train a Model.srt | 7.4 KB | ||
| 6. N-Grams.mp4 | 24.9 MB | ||
| 6. N-Grams.srt | 8.3 KB | ||
| 6. Section 2 Challenge.mp4 | 10.7 MB | ||
| 6. Section 2 Challenge.srt | 3.6 KB | ||
| 6. Section 3 Challenge.mp4 | 21.7 MB | ||
| 6. Section 3 Challenge.srt | 7.2 KB | ||
| 6. Section 5 Challenge.mp4 | 21.3 MB | ||
| 6. Section 5 Challenge.srt | 5 KB | ||
| 7. Challenge.mp4 | 12.7 MB | ||
| 7. Challenge.srt | 4.4 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 53 total files | |||
Natural Language Processing With TextBlob (Python NLP)
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 450 MB | Duration: 1h 18m
Learn how to perform NLP with one of the most popular NLP frameworks -- TextBlob. This course is in 100% Python
What you'll learn
Natural Language Processing (NLP)
TextBlob -- a Python framework built on top of NLTK
Tokenization
Text classification
Part-of-speech tagging
Producing definitions
Comparing the similarity of words
Generating n-grams
Spell checking
Sentiment analysis
Hugging Face's Datasets library
Description
TextBlob is an open-source Python package built on top of NLTK, which is perhaps the most well-known NLP framework. TextBlob allows you to complete common NLP tasks with just a few lines of code and with minimal complexities. So, whether you're a beginner looking to learn NLP or a professional who wants to learn a tool to simplify your life -- this course is for you.
TextBlob is one of the most popular NLP Python packages with over 7700 stars on GitHub and over 10M downloads.
This course will cover:
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| torrent name | size | uploader | age | seed | leech |
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ENI - Madjid Khichane - Natural Language Processing (NLP) avec Python 2022 WEB 1080p x264 Posted by
Abdel_fedala in Other
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971.25 MB | Abdel_fedala | 2 years | 16 | 0 |
| 920.3 MB | freecoursewb | 2 years | 3 | 1 | |
| 4.8 GB | CourseClub | 2 years | 7 | 0 |
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