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10. Word2Vec Analysis/1. Understanding Word Vectors.mp4 168.4 MB
10. Word2Vec Analysis/1. Understanding Word Vectors.srt 16.4 kB
10. Word2Vec Analysis/1. Understanding Word Vectors.vtt 14.3 kB
10. Word2Vec Analysis/2. Importing the data.mp4 57.6 MB
10. Word2Vec Analysis/2. Importing the data.srt 6.6 kB
10. Word2Vec Analysis/2. Importing the data.vtt 5.7 kB
10. Word2Vec Analysis/3. Preparing the data.mp4 40.4 MB
10. Word2Vec Analysis/3. Preparing the data.srt 4.2 kB
10. Word2Vec Analysis/3. Preparing the data.vtt 3.7 kB
10. Word2Vec Analysis/4. Training the Word2Vec Model.mp4 35.5 MB
10. Word2Vec Analysis/4. Training the Word2Vec Model.srt 3.6 kB
10. Word2Vec Analysis/4. Training the Word2Vec Model.vtt 3.1 kB
10. Word2Vec Analysis/5. Testing Model Performance.mp4 57.1 MB
10. Word2Vec Analysis/5. Testing Model Performance.srt 5.1 kB
10. Word2Vec Analysis/5. Testing Model Performance.vtt 4.4 kB
10. Word2Vec Analysis/6. Improving the Model.mp4 113.5 MB
10. Word2Vec Analysis/6. Improving the Model.srt 8.0 kB
10. Word2Vec Analysis/6. Improving the Model.vtt 6.9 kB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.mp4 52.9 MB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.srt 6.9 kB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.vtt 6.1 kB
11. Conclusion/1. Where you go from here.html 727 Bytes
1. Introduction to the Course/1. What is NLP.mp4 79.4 MB
1. Introduction to the Course/1. What is NLP.srt 7.8 kB
1. Introduction to the Course/1. What is NLP.vtt 6.8 kB
1. Introduction to the Course/2. Getting the Course Resources.mp4 19.1 MB
1. Introduction to the Course/2. Getting the Course Resources.srt 2.1 kB
1. Introduction to the Course/2. Getting the Course Resources.vtt 1.9 kB
1. Introduction to the Course/3. Getting the Course Resources - Text.html 614 Bytes
2. Getting the required softwares/1. Installing Anaconda Python.mp4 35.0 MB
2. Getting the required softwares/1. Installing Anaconda Python.srt 4.6 kB
2. Getting the required softwares/1. Installing Anaconda Python.vtt 4.0 kB
2. Getting the required softwares/2. Installing Anaconda Python - Text.html 734 Bytes
2. Getting the required softwares/3. A tour of Spyder IDE.mp4 49.1 MB
2. Getting the required softwares/3. A tour of Spyder IDE.srt 6.2 kB
2. Getting the required softwares/3. A tour of Spyder IDE.vtt 5.4 kB
2. Getting the required softwares/4. How to take this course.html 1.7 kB
3. Python Crash Course/10. Introduction to Classes and Objects.mp4 96.9 MB
3. Python Crash Course/10. Introduction to Classes and Objects.srt 9.6 kB
3. Python Crash Course/10. Introduction to Classes and Objects.vtt 8.4 kB
3. Python Crash Course/11. List Comprehension.mp4 173.5 MB
3. Python Crash Course/11. List Comprehension.srt 17.0 kB
3. Python Crash Course/11. List Comprehension.vtt 14.7 kB
3. Python Crash Course/12. Test Your Skills.html 156 Bytes
3. Python Crash Course/1. Variables and Operations in Python.mp4 63.2 MB
3. Python Crash Course/1. Variables and Operations in Python.srt 9.7 kB
3. Python Crash Course/1. Variables and Operations in Python.vtt 8.5 kB
3. Python Crash Course/2. Conditional Statements.mp4 66.9 MB
3. Python Crash Course/2. Conditional Statements.srt 7.1 kB
3. Python Crash Course/2. Conditional Statements.vtt 6.2 kB
3. Python Crash Course/3. Introduction to Loops.mp4 67.9 MB
3. Python Crash Course/3. Introduction to Loops.srt 10.1 kB
3. Python Crash Course/3. Introduction to Loops.vtt 8.8 kB
3. Python Crash Course/4. Loop Control Statements.mp4 65.0 MB
3. Python Crash Course/4. Loop Control Statements.srt 9.6 kB
3. Python Crash Course/4. Loop Control Statements.vtt 8.3 kB
3. Python Crash Course/5. Python Data Structures - Lists.mp4 135.5 MB
3. Python Crash Course/5. Python Data Structures - Lists.srt 16.4 kB
3. Python Crash Course/5. Python Data Structures - Lists.vtt 14.3 kB
3. Python Crash Course/6. Python Data Structures - Tuples.mp4 63.9 MB
3. Python Crash Course/6. Python Data Structures - Tuples.srt 7.2 kB
3. Python Crash Course/6. Python Data Structures - Tuples.vtt 6.3 kB
3. Python Crash Course/7. Python Data Structures - Dictionaries.mp4 131.1 MB
3. Python Crash Course/7. Python Data Structures - Dictionaries.srt 14.6 kB
3. Python Crash Course/7. Python Data Structures - Dictionaries.vtt 12.7 kB
3. Python Crash Course/8. Console and File IO in Python.mp4 101.7 MB
3. Python Crash Course/8. Console and File IO in Python.srt 10.0 kB
3. Python Crash Course/8. Console and File IO in Python.vtt 8.6 kB
3. Python Crash Course/9. Introduction to Functions.mp4 80.5 MB
3. Python Crash Course/9. Introduction to Functions.srt 8.5 kB
3. Python Crash Course/9. Introduction to Functions.vtt 7.4 kB
4. Regular Expressions/1. Introduction to Regular Expressions.mp4 65.9 MB
4. Regular Expressions/1. Introduction to Regular Expressions.srt 6.3 kB
4. Regular Expressions/1. Introduction to Regular Expressions.vtt 5.5 kB
4. Regular Expressions/2. Finding Patterns in Text Part 1.mp4 83.4 MB
4. Regular Expressions/2. Finding Patterns in Text Part 1.srt 11.2 kB
4. Regular Expressions/2. Finding Patterns in Text Part 1.vtt 9.7 kB
4. Regular Expressions/3. Finding Patterns in Text Part 2.mp4 85.4 MB
4. Regular Expressions/3. Finding Patterns in Text Part 2.srt 10.2 kB
4. Regular Expressions/3. Finding Patterns in Text Part 2.vtt 8.8 kB
4. Regular Expressions/4. Substituting Patterns in Text.mp4 56.9 MB
4. Regular Expressions/4. Substituting Patterns in Text.srt 8.3 kB
4. Regular Expressions/4. Substituting Patterns in Text.vtt 7.1 kB
4. Regular Expressions/5. Shorthand Character Classes.mp4 191.3 MB
4. Regular Expressions/5. Shorthand Character Classes.srt 17.7 kB
4. Regular Expressions/5. Shorthand Character Classes.vtt 15.4 kB
4. Regular Expressions/6. Character Ranges - Text.html 1.2 kB
4. Regular Expressions/7. Preprocessing using Regex.mp4 75.1 MB
4. Regular Expressions/7. Preprocessing using Regex.srt 8.2 kB
4. Regular Expressions/7. Preprocessing using Regex.vtt 7.1 kB
4. Regular Expressions/8. Test Your Skills.html 156 Bytes
5. Numpy and Pandas/1. Introduction to Numpy.mp4 294.3 MB
5. Numpy and Pandas/1. Introduction to Numpy.srt 27.7 kB
5. Numpy and Pandas/1. Introduction to Numpy.vtt 24.0 kB
5. Numpy and Pandas/2. Introduction to Pandas.mp4 263.8 MB
5. Numpy and Pandas/2. Introduction to Pandas.srt 29.3 kB
5. Numpy and Pandas/2. Introduction to Pandas.vtt 25.3 kB
6. NLP Core/10. Named Entity Recognition.mp4 58.8 MB
6. NLP Core/10. Named Entity Recognition.srt 7.0 kB
6. NLP Core/10. Named Entity Recognition.vtt 6.2 kB
6. NLP Core/11. Text Modelling using Bag of Words Model.mp4 153.2 MB
6. NLP Core/11. Text Modelling using Bag of Words Model.srt 15.1 kB
6. NLP Core/11. Text Modelling using Bag of Words Model.vtt 13.1 kB
6. NLP Core/12. Building the BOW Model Part 1.mp4 92.9 MB
6. NLP Core/12. Building the BOW Model Part 1.srt 5.6 kB
6. NLP Core/12. Building the BOW Model Part 1.vtt 4.9 kB
6. NLP Core/13. Building the BOW Model Part 2.mp4 86.2 MB
6. NLP Core/13. Building the BOW Model Part 2.srt 6.2 kB
6. NLP Core/13. Building the BOW Model Part 2.vtt 5.4 kB
6. NLP Core/14. Building the BOW Model Part 3.mp4 80.7 MB
6. NLP Core/14. Building the BOW Model Part 3.srt 5.9 kB
6. NLP Core/14. Building the BOW Model Part 3.vtt 5.1 kB
6. NLP Core/15. Building the BOW Model Part 4.mp4 113.3 MB
6. NLP Core/15. Building the BOW Model Part 4.srt 8.6 kB
6. NLP Core/15. Building the BOW Model Part 4.vtt 7.5 kB
6. NLP Core/16. Text Modelling using TF-IDF Model.mp4 233.9 MB
6. NLP Core/16. Text Modelling using TF-IDF Model.srt 22.6 kB
6. NLP Core/16. Text Modelling using TF-IDF Model.vtt 19.6 kB
6. NLP Core/17. Building the TF-IDF Model Part 1.mp4 115.2 MB
6. NLP Core/17. Building the TF-IDF Model Part 1.srt 8.4 kB
6. NLP Core/17. Building the TF-IDF Model Part 1.vtt 7.4 kB
6. NLP Core/18. Building the TF-IDF Model Part 2.mp4 128.7 MB
6. NLP Core/18. Building the TF-IDF Model Part 2.srt 9.6 kB
6. NLP Core/18. Building the TF-IDF Model Part 2.vtt 8.4 kB
6. NLP Core/19. Building the TF-IDF Model Part 3.mp4 115.2 MB
6. NLP Core/19. Building the TF-IDF Model Part 3.srt 8.6 kB
6. NLP Core/19. Building the TF-IDF Model Part 3.vtt 7.5 kB
6. NLP Core/1. Installing NLTK in Python.mp4 30.7 MB
6. NLP Core/1. Installing NLTK in Python.srt 5.4 kB
6. NLP Core/1. Installing NLTK in Python.vtt 4.8 kB
6. NLP Core/20. Building the TF-IDF Model Part 4.mp4 67.7 MB
6. NLP Core/20. Building the TF-IDF Model Part 4.srt 5.4 kB
6. NLP Core/20. Building the TF-IDF Model Part 4.vtt 4.7 kB
6. NLP Core/21. Understanding the N-Gram Model.mp4 271.8 MB
6. NLP Core/21. Understanding the N-Gram Model.srt 27.7 kB
6. NLP Core/21. Understanding the N-Gram Model.vtt 24.1 kB
6. NLP Core/22. Building Character N-Gram Model.mp4 194.7 MB
6. NLP Core/22. Building Character N-Gram Model.srt 20.7 kB
6. NLP Core/22. Building Character N-Gram Model.vtt 18.0 kB
6. NLP Core/23. Building Word N-Gram Model.mp4 168.3 MB
6. NLP Core/23. Building Word N-Gram Model.srt 15.1 kB
6. NLP Core/23. Building Word N-Gram Model.vtt 13.2 kB
6. NLP Core/24. Understanding Latent Semantic Analysis.mp4 203.9 MB
6. NLP Core/24. Understanding Latent Semantic Analysis.srt 19.7 kB
6. NLP Core/24. Understanding Latent Semantic Analysis.vtt 17.2 kB
6. NLP Core/25. LSA in Python Part 1.mp4 309.9 MB
6. NLP Core/25. LSA in Python Part 1.srt 26.5 kB
6. NLP Core/25. LSA in Python Part 1.vtt 22.9 kB
6. NLP Core/26. LSA in Python Part 2.mp4 199.5 MB
6. NLP Core/26. LSA in Python Part 2.srt 15.2 kB
6. NLP Core/26. LSA in Python Part 2.vtt 13.2 kB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.mp4 123.7 MB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.srt 13.5 kB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.vtt 11.7 kB
6. NLP Core/28. Word Negation Tracking in Python Part 1.mp4 95.1 MB
6. NLP Core/28. Word Negation Tracking in Python Part 1.srt 13.0 kB
6. NLP Core/28. Word Negation Tracking in Python Part 1.vtt 11.3 kB
6. NLP Core/29. Word Negation Tracking in Python Part 2.mp4 61.5 MB
6. NLP Core/29. Word Negation Tracking in Python Part 2.srt 8.3 kB
6. NLP Core/29. Word Negation Tracking in Python Part 2.vtt 7.2 kB
6. NLP Core/2. Tokenizing Words and Sentences.mp4 78.3 MB
6. NLP Core/2. Tokenizing Words and Sentences.srt 5.5 kB
6. NLP Core/2. Tokenizing Words and Sentences.vtt 4.8 kB
6. NLP Core/3. How tokenization works - Text.html 1.6 kB
6. NLP Core/4. Introduction to Stemming and Lemmatization.mp4 112.8 MB
6. NLP Core/4. Introduction to Stemming and Lemmatization.srt 10.3 kB
6. NLP Core/4. Introduction to Stemming and Lemmatization.vtt 9.0 kB
6. NLP Core/5. Stemming using NLTK.mp4 140.0 MB
6. NLP Core/5. Stemming using NLTK.srt 8.7 kB
6. NLP Core/5. Stemming using NLTK.vtt 7.6 kB
6. NLP Core/6. Lemmatization using NLTK.mp4 80.2 MB
6. NLP Core/6. Lemmatization using NLTK.srt 4.6 kB
6. NLP Core/6. Lemmatization using NLTK.vtt 3.9 kB
6. NLP Core/7. Stop word removal using NLTK.mp4 146.6 MB
6. NLP Core/7. Stop word removal using NLTK.srt 8.8 kB
6. NLP Core/7. Stop word removal using NLTK.vtt 7.7 kB
6. NLP Core/8. Parts Of Speech Tagging.mp4 114.4 MB
6. NLP Core/8. Parts Of Speech Tagging.srt 8.0 kB
6. NLP Core/8. Parts Of Speech Tagging.vtt 6.9 kB
6. NLP Core/9. POS Tag Meanings.html 3.4 kB
7. Project 1 - Text Classification/10. Training our classifier.mp4 32.2 MB
7. Project 1 - Text Classification/10. Training our classifier.srt 2.4 kB
7. Project 1 - Text Classification/10. Training our classifier.vtt 2.1 kB
7. Project 1 - Text Classification/11. Testing Model performance.mp4 88.1 MB
7. Project 1 - Text Classification/11. Testing Model performance.srt 7.4 kB
7. Project 1 - Text Classification/11. Testing Model performance.vtt 6.4 kB
7. Project 1 - Text Classification/12. Saving our Model.mp4 101.3 MB
7. Project 1 - Text Classification/12. Saving our Model.srt 7.9 kB
7. Project 1 - Text Classification/12. Saving our Model.vtt 6.9 kB
7. Project 1 - Text Classification/13. Importing and using our Model.mp4 58.8 MB
7. Project 1 - Text Classification/13. Importing and using our Model.srt 5.1 kB
7. Project 1 - Text Classification/13. Importing and using our Model.vtt 4.4 kB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.mp4 65.1 MB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.srt 7.8 kB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.vtt 6.8 kB
7. Project 1 - Text Classification/2. Getting the data for Text Classification - Text.html 806 Bytes
7. Project 1 - Text Classification/3. Importing the dataset.mp4 60.3 MB
7. Project 1 - Text Classification/3. Importing the dataset.srt 6.8 kB
7. Project 1 - Text Classification/3. Importing the dataset.vtt 5.9 kB
7. Project 1 - Text Classification/4. Persisting the dataset.mp4 75.1 MB
7. Project 1 - Text Classification/4. Persisting the dataset.srt 6.6 kB
7. Project 1 - Text Classification/4. Persisting the dataset.vtt 5.8 kB
7. Project 1 - Text Classification/5. Preprocessing the data.mp4 70.7 MB
7. Project 1 - Text Classification/5. Preprocessing the data.srt 6.2 kB
7. Project 1 - Text Classification/5. Preprocessing the data.vtt 5.4 kB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.mp4 120.3 MB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.srt 10.0 kB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.vtt 8.8 kB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.mp4 49.7 MB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.srt 4.0 kB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.vtt 3.4 kB
7. Project 1 - Text Classification/8. Creating training and test set.mp4 75.3 MB
7. Project 1 - Text Classification/8. Creating training and test set.srt 5.8 kB
7. Project 1 - Text Classification/8. Creating training and test set.vtt 5.1 kB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.mp4 211.4 MB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.srt 20.9 kB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.vtt 18.3 kB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.mp4 29.7 MB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.srt 5.1 kB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.vtt 4.4 kB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.mp4 36.8 MB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.srt 5.4 kB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.vtt 4.7 kB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.mp4 49.0 MB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.srt 4.7 kB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.vtt 4.1 kB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.mp4 84.9 MB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.srt 6.9 kB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.vtt 6.0 kB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.mp4 37.8 MB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.srt 2.6 kB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.vtt 2.3 kB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.mp4 139.5 MB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.srt 7.1 kB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.vtt 6.2 kB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.mp4 40.0 MB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.srt 2.3 kB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.vtt 2.1 kB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.mp4 107.7 MB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.srt 8.9 kB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.vtt 7.8 kB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.mp4 100.3 MB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.srt 10.0 kB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.vtt 8.7 kB
9. Project 3 - Text Summarization/2. Fetching article data from the web.mp4 46.0 MB
9. Project 3 - Text Summarization/2. Fetching article data from the web.srt 6.0 kB
9. Project 3 - Text Summarization/2. Fetching article data from the web.vtt 5.3 kB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.mp4 98.8 MB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.srt 9.7 kB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.vtt 8.4 kB
9. Project 3 - Text Summarization/4. Preprocessing the data.mp4 50.6 MB
9. Project 3 - Text Summarization/4. Preprocessing the data.srt 4.2 kB
9. Project 3 - Text Summarization/4. Preprocessing the data.vtt 3.6 kB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.mp4 53.1 MB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.srt 4.6 kB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.vtt 4.0 kB
9. Project 3 - Text Summarization/6. Building the histogram.mp4 61.4 MB
9. Project 3 - Text Summarization/6. Building the histogram.srt 5.6 kB
9. Project 3 - Text Summarization/6. Building the histogram.vtt 4.9 kB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.mp4 104.7 MB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.srt 8.1 kB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.vtt 7.1 kB
9. Project 3 - Text Summarization/8. Getting the summary.mp4 80.7 MB
9. Project 3 - Text Summarization/8. Getting the summary.srt 6.1 kB
9. Project 3 - Text Summarization/8. Getting the summary.vtt 5.3 kB
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北川ゆい Akira COCOLO Saiko あいだももあさのくるみあまいれもんいしかわ愛里いとうしいなうさみ恭香うちだまひろかぐやひめかとりこのみかないかほくすのき琴美クミコグレースくらもとまい（葉月ありさ）さとみ中村あみしいな純菜しのざきさとみ（三沢亜也）牧本千幸（つかもと友希）眞木ありさデヴィテラパトリックドミニカともさかまいともさか愛なごみもえひなこ

分享BT种子/磁力链接

亲，你知道吗？下载的人越多速度越快，赶快把本页面分享给好友一起下载吧^_^

磁力管家