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[UDEMY] HANDS ON NATURAL LANGUAGE PROCESSING (NLP) USING PYTHON [FTU]

Torrent Info
Category Other
Added Friday 2nd June 2023 05:07:08 PM (3 years ago)
Size8.0 GB
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Torrent Files (268)
FilenameSize
10. Word2Vec Analysis/1. Understanding Word Vectors.mp4160.6 MB
10. Word2Vec Analysis/1. Understanding Word Vectors.srt16.0 KB
10. Word2Vec Analysis/1. Understanding Word Vectors.vtt14.0 KB
10. Word2Vec Analysis/2. Importing the data.mp454.9 MB
10. Word2Vec Analysis/2. Importing the data.srt6.5 KB
10. Word2Vec Analysis/2. Importing the data.vtt5.6 KB
10. Word2Vec Analysis/3. Preparing the data.mp438.5 MB
10. Word2Vec Analysis/3. Preparing the data.srt4.1 KB
10. Word2Vec Analysis/3. Preparing the data.vtt3.6 KB
10. Word2Vec Analysis/4. Training the Word2Vec Model.mp433.8 MB
10. Word2Vec Analysis/4. Training the Word2Vec Model.srt3.5 KB
10. Word2Vec Analysis/4. Training the Word2Vec Model.vtt3.0 KB
10. Word2Vec Analysis/5. Testing Model Performance.mp454.5 MB
10. Word2Vec Analysis/5. Testing Model Performance.srt4.9 KB
10. Word2Vec Analysis/5. Testing Model Performance.vtt4.3 KB
10. Word2Vec Analysis/6. Improving the Model.mp4108.2 MB
10. Word2Vec Analysis/6. Improving the Model.srt7.8 KB
10. Word2Vec Analysis/6. Improving the Model.vtt6.7 KB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.mp450.4 MB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.srt6.7 KB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.vtt5.9 KB
11. Conclusion/1. Where you go from here.html727 bytes
1. Introduction to the Course/1. What is NLP.mp475.7 MB
1. Introduction to the Course/1. What is NLP.srt7.7 KB
1. Introduction to the Course/1. What is NLP.vtt6.7 KB
1. Introduction to the Course/2. Getting the Course Resources.mp418.2 MB
1. Introduction to the Course/2. Getting the Course Resources.srt2.1 KB
1. Introduction to the Course/2. Getting the Course Resources.vtt1.8 KB
1. Introduction to the Course/3. Getting the Course Resources - Text.html614 bytes
2. Getting the required softwares/1. Installing Anaconda Python.mp433.4 MB
2. Getting the required softwares/1. Installing Anaconda Python.srt4.5 KB
2. Getting the required softwares/1. Installing Anaconda Python.vtt3.9 KB
2. Getting the required softwares/2. Installing Anaconda Python - Text.html734 bytes
2. Getting the required softwares/3. A tour of Spyder IDE.mp446.8 MB
2. Getting the required softwares/3. A tour of Spyder IDE.srt6.1 KB
2. Getting the required softwares/3. A tour of Spyder IDE.vtt5.3 KB
2. Getting the required softwares/4. How to take this course.html1.6 KB
3. Python Crash Course/10. Introduction to Classes and Objects.mp492.4 MB
3. Python Crash Course/10. Introduction to Classes and Objects.srt9.4 KB
3. Python Crash Course/10. Introduction to Classes and Objects.vtt8.2 KB
3. Python Crash Course/11. List Comprehension.mp4165.5 MB
3. Python Crash Course/11. List Comprehension.srt16.6 KB
3. Python Crash Course/11. List Comprehension.vtt14.3 KB
3. Python Crash Course/12. Test Your Skills.html156 bytes
3. Python Crash Course/1. Variables and Operations in Python.mp460.3 MB
3. Python Crash Course/1. Variables and Operations in Python.srt9.5 KB
3. Python Crash Course/1. Variables and Operations in Python.vtt8.3 KB
3. Python Crash Course/2. Conditional Statements.mp463.8 MB
3. Python Crash Course/2. Conditional Statements.srt7.0 KB
3. Python Crash Course/2. Conditional Statements.vtt6.1 KB
3. Python Crash Course/3. Introduction to Loops.mp464.8 MB
3. Python Crash Course/3. Introduction to Loops.srt9.8 KB
3. Python Crash Course/3. Introduction to Loops.vtt8.6 KB
3. Python Crash Course/4. Loop Control Statements.mp462.0 MB
3. Python Crash Course/4. Loop Control Statements.srt9.4 KB
3. Python Crash Course/4. Loop Control Statements.vtt8.2 KB
3. Python Crash Course/5. Python Data Structures - Lists.mp4129.2 MB
3. Python Crash Course/5. Python Data Structures - Lists.srt16.0 KB
3. Python Crash Course/5. Python Data Structures - Lists.vtt13.9 KB
3. Python Crash Course/6. Python Data Structures - Tuples.mp460.9 MB
3. Python Crash Course/6. Python Data Structures - Tuples.srt7.1 KB
3. Python Crash Course/6. Python Data Structures - Tuples.vtt6.1 KB
3. Python Crash Course/7. Python Data Structures - Dictionaries.mp4125.1 MB
3. Python Crash Course/7. Python Data Structures - Dictionaries.srt14.2 KB
3. Python Crash Course/7. Python Data Structures - Dictionaries.vtt12.4 KB
3. Python Crash Course/8. Console and File IO in Python.mp497.0 MB
3. Python Crash Course/8. Console and File IO in Python.srt9.7 KB
3. Python Crash Course/8. Console and File IO in Python.vtt8.4 KB
3. Python Crash Course/9. Introduction to Functions.mp476.8 MB
3. Python Crash Course/9. Introduction to Functions.srt8.3 KB
3. Python Crash Course/9. Introduction to Functions.vtt7.2 KB
4. Regular Expressions/1. Introduction to Regular Expressions.mp462.8 MB
4. Regular Expressions/1. Introduction to Regular Expressions.srt6.1 KB
4. Regular Expressions/1. Introduction to Regular Expressions.vtt5.4 KB
4. Regular Expressions/2. Finding Patterns in Text Part 1.mp479.5 MB
4. Regular Expressions/2. Finding Patterns in Text Part 1.srt10.9 KB
4. Regular Expressions/2. Finding Patterns in Text Part 1.vtt9.5 KB
4. Regular Expressions/3. Finding Patterns in Text Part 2.mp481.5 MB
4. Regular Expressions/3. Finding Patterns in Text Part 2.srt9.9 KB
4. Regular Expressions/3. Finding Patterns in Text Part 2.vtt8.6 KB
4. Regular Expressions/4. Substituting Patterns in Text.mp454.2 MB
4. Regular Expressions/4. Substituting Patterns in Text.srt8.1 KB
4. Regular Expressions/4. Substituting Patterns in Text.vtt7.0 KB
4. Regular Expressions/5. Shorthand Character Classes.mp4182.4 MB
4. Regular Expressions/5. Shorthand Character Classes.srt17.3 KB
4. Regular Expressions/5. Shorthand Character Classes.vtt15.0 KB
4. Regular Expressions/6. Character Ranges - Text.html1.2 KB
4. Regular Expressions/7. Preprocessing using Regex.mp471.6 MB
4. Regular Expressions/7. Preprocessing using Regex.srt8.0 KB
4. Regular Expressions/7. Preprocessing using Regex.vtt6.9 KB
4. Regular Expressions/8. Test Your Skills.html156 bytes
5. Numpy and Pandas/1. Introduction to Numpy.mp4280.7 MB
5. Numpy and Pandas/1. Introduction to Numpy.srt27.1 KB
5. Numpy and Pandas/1. Introduction to Numpy.vtt23.5 KB
5. Numpy and Pandas/2. Introduction to Pandas.mp4251.6 MB
5. Numpy and Pandas/2. Introduction to Pandas.srt28.6 KB
5. Numpy and Pandas/2. Introduction to Pandas.vtt24.7 KB
6. NLP Core/10. Named Entity Recognition.mp456.1 MB
6. NLP Core/10. Named Entity Recognition.srt6.8 KB
6. NLP Core/10. Named Entity Recognition.vtt6.0 KB
6. NLP Core/11. Text Modelling using Bag of Words Model.mp4146.1 MB
6. NLP Core/11. Text Modelling using Bag of Words Model.srt14.7 KB
6. NLP Core/11. Text Modelling using Bag of Words Model.vtt12.8 KB
6. NLP Core/12. Building the BOW Model Part 1.mp488.6 MB
6. NLP Core/12. Building the BOW Model Part 1.srt5.4 KB
6. NLP Core/12. Building the BOW Model Part 1.vtt4.8 KB
6. NLP Core/13. Building the BOW Model Part 2.mp482.2 MB
6. NLP Core/13. Building the BOW Model Part 2.srt6.0 KB
6. NLP Core/13. Building the BOW Model Part 2.vtt5.3 KB
6. NLP Core/14. Building the BOW Model Part 3.mp477.0 MB
6. NLP Core/14. Building the BOW Model Part 3.srt5.7 KB
6. NLP Core/14. Building the BOW Model Part 3.vtt5.0 KB
6. NLP Core/15. Building the BOW Model Part 4.mp4108.1 MB
6. NLP Core/15. Building the BOW Model Part 4.srt8.4 KB
6. NLP Core/15. Building the BOW Model Part 4.vtt7.4 KB
6. NLP Core/16. Text Modelling using TF-IDF Model.mp4223.0 MB
6. NLP Core/16. Text Modelling using TF-IDF Model.srt22.1 KB
6. NLP Core/16. Text Modelling using TF-IDF Model.vtt19.2 KB
6. NLP Core/17. Building the TF-IDF Model Part 1.mp4109.9 MB
6. NLP Core/17. Building the TF-IDF Model Part 1.srt8.2 KB
6. NLP Core/17. Building the TF-IDF Model Part 1.vtt7.2 KB
6. NLP Core/18. Building the TF-IDF Model Part 2.mp4122.7 MB
6. NLP Core/18. Building the TF-IDF Model Part 2.srt9.4 KB
6. NLP Core/18. Building the TF-IDF Model Part 2.vtt8.2 KB
6. NLP Core/19. Building the TF-IDF Model Part 3.mp4109.8 MB
6. NLP Core/19. Building the TF-IDF Model Part 3.srt8.4 KB
6. NLP Core/19. Building the TF-IDF Model Part 3.vtt7.3 KB
6. NLP Core/1. Installing NLTK in Python.mp429.3 MB
6. NLP Core/1. Installing NLTK in Python.srt5.3 KB
6. NLP Core/1. Installing NLTK in Python.vtt4.7 KB
6. NLP Core/20. Building the TF-IDF Model Part 4.mp464.6 MB
6. NLP Core/20. Building the TF-IDF Model Part 4.srt5.3 KB
6. NLP Core/20. Building the TF-IDF Model Part 4.vtt4.6 KB
6. NLP Core/21. Understanding the N-Gram Model.mp4259.2 MB
6. NLP Core/21. Understanding the N-Gram Model.srt27.1 KB
6. NLP Core/21. Understanding the N-Gram Model.vtt23.5 KB
6. NLP Core/22. Building Character N-Gram Model.mp4185.7 MB
6. NLP Core/22. Building Character N-Gram Model.srt20.2 KB
6. NLP Core/22. Building Character N-Gram Model.vtt17.6 KB
6. NLP Core/23. Building Word N-Gram Model.mp4160.5 MB
6. NLP Core/23. Building Word N-Gram Model.srt14.8 KB
6. NLP Core/23. Building Word N-Gram Model.vtt12.9 KB
6. NLP Core/24. Understanding Latent Semantic Analysis.mp4194.5 MB
6. NLP Core/24. Understanding Latent Semantic Analysis.srt19.3 KB
6. NLP Core/24. Understanding Latent Semantic Analysis.vtt16.8 KB
6. NLP Core/25. LSA in Python Part 1.mp4295.6 MB
6. NLP Core/25. LSA in Python Part 1.srt25.9 KB
6. NLP Core/25. LSA in Python Part 1.vtt22.3 KB
6. NLP Core/26. LSA in Python Part 2.mp4190.2 MB
6. NLP Core/26. LSA in Python Part 2.srt14.9 KB
6. NLP Core/26. LSA in Python Part 2.vtt12.9 KB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.mp4118.0 MB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.srt13.2 KB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.vtt11.4 KB
6. NLP Core/28. Word Negation Tracking in Python Part 1.mp490.7 MB
6. NLP Core/28. Word Negation Tracking in Python Part 1.srt12.7 KB
6. NLP Core/28. Word Negation Tracking in Python Part 1.vtt11.0 KB
6. NLP Core/29. Word Negation Tracking in Python Part 2.mp458.6 MB
6. NLP Core/29. Word Negation Tracking in Python Part 2.srt8.1 KB
6. NLP Core/29. Word Negation Tracking in Python Part 2.vtt7.1 KB
6. NLP Core/2. Tokenizing Words and Sentences.mp474.6 MB
6. NLP Core/2. Tokenizing Words and Sentences.srt5.3 KB
6. NLP Core/2. Tokenizing Words and Sentences.vtt4.7 KB
6. NLP Core/3. How tokenization works - Text.html1.6 KB
6. NLP Core/4. Introduction to Stemming and Lemmatization.mp4107.5 MB
6. NLP Core/4. Introduction to Stemming and Lemmatization.srt10.1 KB
6. NLP Core/4. Introduction to Stemming and Lemmatization.vtt8.8 KB
6. NLP Core/5. Stemming using NLTK.mp4133.5 MB
6. NLP Core/5. Stemming using NLTK.srt8.5 KB
6. NLP Core/5. Stemming using NLTK.vtt7.4 KB
6. NLP Core/6. Lemmatization using NLTK.mp476.5 MB
6. NLP Core/6. Lemmatization using NLTK.srt4.5 KB
6. NLP Core/6. Lemmatization using NLTK.vtt3.9 KB
6. NLP Core/7. Stop word removal using NLTK.mp4139.8 MB
6. NLP Core/7. Stop word removal using NLTK.srt8.6 KB
6. NLP Core/7. Stop word removal using NLTK.vtt7.5 KB
6. NLP Core/8. Parts Of Speech Tagging.mp4109.1 MB
6. NLP Core/8. Parts Of Speech Tagging.srt7.8 KB
6. NLP Core/8. Parts Of Speech Tagging.vtt6.8 KB
6. NLP Core/9. POS Tag Meanings.html3.3 KB
7. Project 1 - Text Classification/10. Training our classifier.mp430.7 MB
7. Project 1 - Text Classification/10. Training our classifier.srt2.3 KB
7. Project 1 - Text Classification/10. Training our classifier.vtt2.0 KB
7. Project 1 - Text Classification/11. Testing Model performance.mp484.0 MB
7. Project 1 - Text Classification/11. Testing Model performance.srt7.2 KB
7. Project 1 - Text Classification/11. Testing Model performance.vtt6.2 KB
7. Project 1 - Text Classification/12. Saving our Model.mp496.6 MB
7. Project 1 - Text Classification/12. Saving our Model.srt7.8 KB
7. Project 1 - Text Classification/12. Saving our Model.vtt6.8 KB
7. Project 1 - Text Classification/13. Importing and using our Model.mp456.1 MB
7. Project 1 - Text Classification/13. Importing and using our Model.srt5.0 KB
7. Project 1 - Text Classification/13. Importing and using our Model.vtt4.3 KB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.mp462.1 MB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.srt7.6 KB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.vtt6.7 KB
7. Project 1 - Text Classification/2. Getting the data for Text Classification - Text.html806 bytes
7. Project 1 - Text Classification/3. Importing the dataset.mp457.5 MB
7. Project 1 - Text Classification/3. Importing the dataset.srt6.6 KB
7. Project 1 - Text Classification/3. Importing the dataset.vtt5.8 KB
7. Project 1 - Text Classification/4. Persisting the dataset.mp471.6 MB
7. Project 1 - Text Classification/4. Persisting the dataset.srt6.5 KB
7. Project 1 - Text Classification/4. Persisting the dataset.vtt5.7 KB
7. Project 1 - Text Classification/5. Preprocessing the data.mp467.4 MB
7. Project 1 - Text Classification/5. Preprocessing the data.srt6.0 KB
7. Project 1 - Text Classification/5. Preprocessing the data.vtt5.2 KB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.mp4114.7 MB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.srt9.7 KB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.vtt8.6 KB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.mp447.4 MB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.srt3.9 KB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.vtt3.4 KB
7. Project 1 - Text Classification/8. Creating training and test set.mp471.8 MB
7. Project 1 - Text Classification/8. Creating training and test set.srt5.7 KB
7. Project 1 - Text Classification/8. Creating training and test set.vtt5.0 KB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.mp4201.6 MB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.srt20.4 KB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.vtt17.9 KB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.mp428.3 MB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.srt5.0 KB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.vtt4.3 KB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.mp435.1 MB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.srt5.3 KB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.vtt4.6 KB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.mp446.7 MB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.srt4.6 KB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.vtt4.0 KB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.mp480.9 MB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.srt6.7 KB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.vtt5.9 KB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.mp436.0 MB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.srt2.5 KB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.vtt2.2 KB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.mp4133.1 MB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.srt7.0 KB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.vtt6.0 KB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.mp438.1 MB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.srt2.3 KB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.vtt2.0 KB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.mp4102.7 MB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.srt8.7 KB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.vtt7.6 KB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.mp495.7 MB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.srt9.8 KB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.vtt8.5 KB
9. Project 3 - Text Summarization/2. Fetching article data from the web.mp443.9 MB
9. Project 3 - Text Summarization/2. Fetching article data from the web.srt5.9 KB
9. Project 3 - Text Summarization/2. Fetching article data from the web.vtt5.1 KB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.mp494.3 MB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.srt9.5 KB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.vtt8.2 KB
9. Project 3 - Text Summarization/4. Preprocessing the data.mp448.3 MB
9. Project 3 - Text Summarization/4. Preprocessing the data.srt4.1 KB
9. Project 3 - Text Summarization/4. Preprocessing the data.vtt3.6 KB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.mp450.7 MB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.srt4.5 KB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.vtt3.9 KB
9. Project 3 - Text Summarization/6. Building the histogram.mp458.6 MB
9. Project 3 - Text Summarization/6. Building the histogram.srt5.4 KB
9. Project 3 - Text Summarization/6. Building the histogram.vtt4.7 KB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.mp499.8 MB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.srt7.9 KB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.vtt7.0 KB
9. Project 3 - Text Summarization/8. Getting the summary.mp476.9 MB
9. Project 3 - Text Summarization/8. Getting the summary.srt6.0 KB
9. Project 3 - Text Summarization/8. Getting the summary.vtt5.2 KB
[FreeCoursesOnline.Me].url133 bytes
[FreeTutorials.Us].url119 bytes
[FTU Forum].url252 bytes
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