[FreeTutorials.Us] Udemy - Hands On Natural Language Processing (NLP) using Python

File Name

Size

10. Word2Vec Analysis/1. Understanding Word Vectors.mp4

161 MB

10. Word2Vec Analysis/1. Understanding Word Vectors.srt

16 kB

10. Word2Vec Analysis/1. Understanding Word Vectors.vtt

14 kB

10. Word2Vec Analysis/2. Importing the data.mp4

55 MB

10. Word2Vec Analysis/2. Importing the data.srt

6.5 kB

10. Word2Vec Analysis/2. Importing the data.vtt

5.6 kB

10. Word2Vec Analysis/3. Preparing the data.mp4

38 MB

10. Word2Vec Analysis/3. Preparing the data.srt

4.1 kB

10. Word2Vec Analysis/3. Preparing the data.vtt

3.6 kB

10. Word2Vec Analysis/4. Training the Word2Vec Model.mp4

34 MB

10. Word2Vec Analysis/4. Training the Word2Vec Model.srt

3.5 kB

10. Word2Vec Analysis/4. Training the Word2Vec Model.vtt

3.0 kB

10. Word2Vec Analysis/5. Testing Model Performance.mp4

54 MB

10. Word2Vec Analysis/5. Testing Model Performance.srt

4.9 kB

10. Word2Vec Analysis/5. Testing Model Performance.vtt

4.3 kB

10. Word2Vec Analysis/6. Improving the Model.mp4

108 MB

10. Word2Vec Analysis/6. Improving the Model.srt

7.8 kB

10. Word2Vec Analysis/6. Improving the Model.vtt

6.7 kB

10. Word2Vec Analysis/7. Exploring Pre-trained Models.mp4

50 MB

10. Word2Vec Analysis/7. Exploring Pre-trained Models.srt

6.7 kB

10. Word2Vec Analysis/7. Exploring Pre-trained Models.vtt

5.9 kB

11. Conclusion/1. Where you go from here.html

727 B

1. Introduction to the Course/1. What is NLP.mp4

76 MB

1. Introduction to the Course/1. What is NLP.srt

7.7 kB

1. Introduction to the Course/1. What is NLP.vtt

6.7 kB

1. Introduction to the Course/2. Getting the Course Resources.mp4

18 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

1.8 kB

1. Introduction to the Course/3. Getting the Course Resources - Text.html

614 B

2. Getting the required softwares/1. Installing Anaconda Python.mp4

33 MB

2. Getting the required softwares/1. Installing Anaconda Python.srt

4.5 kB

2. Getting the required softwares/1. Installing Anaconda Python.vtt

3.9 kB

2. Getting the required softwares/2. Installing Anaconda Python - Text.html

734 B

2. Getting the required softwares/3. A tour of Spyder IDE.mp4

47 MB

2. Getting the required softwares/3. A tour of Spyder IDE.srt

6.1 kB

2. Getting the required softwares/3. A tour of Spyder IDE.vtt

5.3 kB

2. Getting the required softwares/4. How to take this course.html

1.6 kB

3. Python Crash Course/10. Introduction to Classes and Objects.mp4

92 MB

3. Python Crash Course/10. Introduction to Classes and Objects.srt

9.4 kB

3. Python Crash Course/10. Introduction to Classes and Objects.vtt

8.2 kB

3. Python Crash Course/11. List Comprehension.mp4

166 MB

3. Python Crash Course/11. List Comprehension.srt

17 kB

3. Python Crash Course/11. List Comprehension.vtt

14 kB

3. Python Crash Course/12. Test Your Skills.html

156 B

3. Python Crash Course/1. Variables and Operations in Python.mp4

60 MB

3. Python Crash Course/1. Variables and Operations in Python.srt

9.5 kB

3. Python Crash Course/1. Variables and Operations in Python.vtt

8.3 kB

3. Python Crash Course/2. Conditional Statements.mp4

64 MB

3. Python Crash Course/2. Conditional Statements.srt

7.0 kB

3. Python Crash Course/2. Conditional Statements.vtt

6.1 kB

3. Python Crash Course/3. Introduction to Loops.mp4

65 MB

3. Python Crash Course/3. Introduction to Loops.srt

9.8 kB

3. Python Crash Course/3. Introduction to Loops.vtt

8.6 kB

3. Python Crash Course/4. Loop Control Statements.mp4

62 MB

3. Python Crash Course/4. Loop Control Statements.srt

9.4 kB

3. Python Crash Course/4. Loop Control Statements.vtt

8.2 kB

3. Python Crash Course/5. Python Data Structures - Lists.mp4

129 MB

3. Python Crash Course/5. Python Data Structures - Lists.srt

16 kB

3. Python Crash Course/5. Python Data Structures - Lists.vtt

14 kB

3. Python Crash Course/6. Python Data Structures - Tuples.mp4

61 MB

3. Python Crash Course/6. Python Data Structures - Tuples.srt

7.1 kB

3. Python Crash Course/6. Python Data Structures - Tuples.vtt

6.1 kB

3. Python Crash Course/7. Python Data Structures - Dictionaries.mp4

125 MB

3. Python Crash Course/7. Python Data Structures - Dictionaries.srt

14 kB

3. Python Crash Course/7. Python Data Structures - Dictionaries.vtt

12 kB

3. Python Crash Course/8. Console and File IO in Python.mp4

97 MB

3. Python Crash Course/8. Console and File IO in Python.srt

9.7 kB

3. Python Crash Course/8. Console and File IO in Python.vtt

8.4 kB

3. Python Crash Course/9. Introduction to Functions.mp4

77 MB

3. Python Crash Course/9. Introduction to Functions.srt

8.3 kB

3. Python Crash Course/9. Introduction to Functions.vtt

7.2 kB

4. Regular Expressions/1. Introduction to Regular Expressions.mp4

63 MB

4. Regular Expressions/1. Introduction to Regular Expressions.srt

6.1 kB

4. Regular Expressions/1. Introduction to Regular Expressions.vtt

5.4 kB

4. Regular Expressions/2. Finding Patterns in Text Part 1.mp4

80 MB

4. Regular Expressions/2. Finding Patterns in Text Part 1.srt

11 kB

4. Regular Expressions/2. Finding Patterns in Text Part 1.vtt

9.5 kB

4. Regular Expressions/3. Finding Patterns in Text Part 2.mp4

82 MB

4. Regular Expressions/3. Finding Patterns in Text Part 2.srt

9.9 kB

4. Regular Expressions/3. Finding Patterns in Text Part 2.vtt

8.6 kB

4. Regular Expressions/4. Substituting Patterns in Text.mp4

54 MB

4. Regular Expressions/4. Substituting Patterns in Text.srt

8.1 kB

4. Regular Expressions/4. Substituting Patterns in Text.vtt

7.0 kB

4. Regular Expressions/5. Shorthand Character Classes.mp4

182 MB

4. Regular Expressions/5. Shorthand Character Classes.srt

17 kB

4. Regular Expressions/5. Shorthand Character Classes.vtt

15 kB

4. Regular Expressions/6. Character Ranges - Text.html

1.2 kB

4. Regular Expressions/7. Preprocessing using Regex.mp4

72 MB

4. Regular Expressions/7. Preprocessing using Regex.srt

8.0 kB

4. Regular Expressions/7. Preprocessing using Regex.vtt

6.9 kB

4. Regular Expressions/8. Test Your Skills.html

156 B

5. Numpy and Pandas/1. Introduction to Numpy.mp4

281 MB

5. Numpy and Pandas/1. Introduction to Numpy.srt

27 kB

5. Numpy and Pandas/1. Introduction to Numpy.vtt

24 kB

5. Numpy and Pandas/2. Introduction to Pandas.mp4

252 MB

5. Numpy and Pandas/2. Introduction to Pandas.srt

29 kB

5. Numpy and Pandas/2. Introduction to Pandas.vtt

25 kB

6. NLP Core/10. Named Entity Recognition.mp4

56 MB

6. NLP Core/10. Named Entity Recognition.srt

6.8 kB

6. NLP Core/10. Named Entity Recognition.vtt

6.0 kB

6. NLP Core/11. Text Modelling using Bag of Words Model.mp4

146 MB

6. NLP Core/11. Text Modelling using Bag of Words Model.srt

15 kB

6. NLP Core/11. Text Modelling using Bag of Words Model.vtt

13 kB

6. NLP Core/12. Building the BOW Model Part 1.mp4

89 MB

6. NLP Core/12. Building the BOW Model Part 1.srt

5.4 kB

6. NLP Core/12. Building the BOW Model Part 1.vtt

4.8 kB

6. NLP Core/13. Building the BOW Model Part 2.mp4

82 MB

6. NLP Core/13. Building the BOW Model Part 2.srt

6.0 kB

6. NLP Core/13. Building the BOW Model Part 2.vtt

5.3 kB

6. NLP Core/14. Building the BOW Model Part 3.mp4

77 MB

6. NLP Core/14. Building the BOW Model Part 3.srt

5.7 kB

6. NLP Core/14. Building the BOW Model Part 3.vtt

5.0 kB

6. NLP Core/15. Building the BOW Model Part 4.mp4

108 MB

6. NLP Core/15. Building the BOW Model Part 4.srt

8.4 kB

6. NLP Core/15. Building the BOW Model Part 4.vtt

7.4 kB

6. NLP Core/16. Text Modelling using TF-IDF Model.mp4

223 MB

6. NLP Core/16. Text Modelling using TF-IDF Model.srt

22 kB

6. NLP Core/16. Text Modelling using TF-IDF Model.vtt

19 kB

6. NLP Core/17. Building the TF-IDF Model Part 1.mp4

110 MB

6. NLP Core/17. Building the TF-IDF Model Part 1.srt

8.2 kB

6. NLP Core/17. Building the TF-IDF Model Part 1.vtt

7.2 kB

6. NLP Core/18. Building the TF-IDF Model Part 2.mp4

123 MB

6. NLP Core/18. Building the TF-IDF Model Part 2.srt

9.4 kB

6. NLP Core/18. Building the TF-IDF Model Part 2.vtt

8.2 kB

6. NLP Core/19. Building the TF-IDF Model Part 3.mp4

110 MB

6. NLP Core/19. Building the TF-IDF Model Part 3.srt

8.4 kB

6. NLP Core/19. Building the TF-IDF Model Part 3.vtt

7.3 kB

6. NLP Core/1. Installing NLTK in Python.mp4

29 MB

6. NLP Core/1. Installing NLTK in Python.srt

5.3 kB

6. NLP Core/1. Installing NLTK in Python.vtt

4.7 kB

6. NLP Core/20. Building the TF-IDF Model Part 4.mp4

65 MB

6. NLP Core/20. Building the TF-IDF Model Part 4.srt

5.3 kB

6. NLP Core/20. Building the TF-IDF Model Part 4.vtt

4.6 kB

6. NLP Core/21. Understanding the N-Gram Model.mp4

259 MB

6. NLP Core/21. Understanding the N-Gram Model.srt

27 kB

6. NLP Core/21. Understanding the N-Gram Model.vtt

24 kB

6. NLP Core/22. Building Character N-Gram Model.mp4

186 MB

6. NLP Core/22. Building Character N-Gram Model.srt

20 kB

6. NLP Core/22. Building Character N-Gram Model.vtt

18 kB

6. NLP Core/23. Building Word N-Gram Model.mp4

160 MB

6. NLP Core/23. Building Word N-Gram Model.srt

15 kB

6. NLP Core/23. Building Word N-Gram Model.vtt

13 kB

6. NLP Core/24. Understanding Latent Semantic Analysis.mp4

194 MB

6. NLP Core/24. Understanding Latent Semantic Analysis.srt

19 kB

6. NLP Core/24. Understanding Latent Semantic Analysis.vtt

17 kB

6. NLP Core/25. LSA in Python Part 1.mp4

296 MB

6. NLP Core/25. LSA in Python Part 1.srt

26 kB

6. NLP Core/25. LSA in Python Part 1.vtt

22 kB

6. NLP Core/26. LSA in Python Part 2.mp4

190 MB

6. NLP Core/26. LSA in Python Part 2.srt

15 kB

6. NLP Core/26. LSA in Python Part 2.vtt

13 kB

6. NLP Core/27. Word Synonyms and Antonyms using NLTK.mp4

118 MB

6. NLP Core/27. Word Synonyms and Antonyms using NLTK.srt

13 kB

6. NLP Core/27. Word Synonyms and Antonyms using NLTK.vtt

11 kB

6. NLP Core/28. Word Negation Tracking in Python Part 1.mp4

91 MB

6. NLP Core/28. Word Negation Tracking in Python Part 1.srt

13 kB

6. NLP Core/28. Word Negation Tracking in Python Part 1.vtt

11 kB

6. NLP Core/29. Word Negation Tracking in Python Part 2.mp4

59 MB

6. NLP Core/29. Word Negation Tracking in Python Part 2.srt

8.1 kB

6. NLP Core/29. Word Negation Tracking in Python Part 2.vtt

7.1 kB

6. NLP Core/2. Tokenizing Words and Sentences.mp4

75 MB

6. NLP Core/2. Tokenizing Words and Sentences.srt

5.3 kB

6. NLP Core/2. Tokenizing Words and Sentences.vtt

4.7 kB

6. NLP Core/3. How tokenization works - Text.html

1.6 kB

6. NLP Core/4. Introduction to Stemming and Lemmatization.mp4

108 MB

6. NLP Core/4. Introduction to Stemming and Lemmatization.srt

10 kB

6. NLP Core/4. Introduction to Stemming and Lemmatization.vtt

8.8 kB

6. NLP Core/5. Stemming using NLTK.mp4

134 MB

6. NLP Core/5. Stemming using NLTK.srt

8.5 kB

6. NLP Core/5. Stemming using NLTK.vtt

7.4 kB

6. NLP Core/6. Lemmatization using NLTK.mp4

76 MB

6. NLP Core/6. Lemmatization using NLTK.srt

4.5 kB

6. NLP Core/6. Lemmatization using NLTK.vtt

3.9 kB

6. NLP Core/7. Stop word removal using NLTK.mp4

140 MB

6. NLP Core/7. Stop word removal using NLTK.srt

8.6 kB

6. NLP Core/7. Stop word removal using NLTK.vtt

7.5 kB

6. NLP Core/8. Parts Of Speech Tagging.mp4

109 MB

6. NLP Core/8. Parts Of Speech Tagging.srt

7.8 kB

6. NLP Core/8. Parts Of Speech Tagging.vtt

6.8 kB

6. NLP Core/9. POS Tag Meanings.html

3.3 kB

7. Project 1 - Text Classification/10. Training our classifier.mp4

31 MB

7. Project 1 - Text Classification/10. Training our classifier.srt

2.3 kB

7. Project 1 - Text Classification/10. Training our classifier.vtt

2.0 kB

7. Project 1 - Text Classification/11. Testing Model performance.mp4

84 MB

7. Project 1 - Text Classification/11. Testing Model performance.srt

7.2 kB

7. Project 1 - Text Classification/11. Testing Model performance.vtt

6.2 kB

7. Project 1 - Text Classification/12. Saving our Model.mp4

97 MB

7. Project 1 - Text Classification/12. Saving our Model.srt

7.8 kB

7. Project 1 - Text Classification/12. Saving our Model.vtt

6.8 kB

7. Project 1 - Text Classification/13. Importing and using our Model.mp4

56 MB

7. Project 1 - Text Classification/13. Importing and using our Model.srt

5.0 kB

7. Project 1 - Text Classification/13. Importing and using our Model.vtt

4.3 kB

7. Project 1 - Text Classification/1. Getting the data for Text Classification.mp4

62 MB

7. Project 1 - Text Classification/1. Getting the data for Text Classification.srt

7.6 kB

7. Project 1 - Text Classification/1. Getting the data for Text Classification.vtt

6.7 kB

7. Project 1 - Text Classification/2. Getting the data for Text Classification - Text.html

806 B

7. Project 1 - Text Classification/3. Importing the dataset.mp4

58 MB

7. Project 1 - Text Classification/3. Importing the dataset.srt

6.6 kB

7. Project 1 - Text Classification/3. Importing the dataset.vtt

5.8 kB

7. Project 1 - Text Classification/4. Persisting the dataset.mp4

72 MB

7. Project 1 - Text Classification/4. Persisting the dataset.srt

6.5 kB

7. Project 1 - Text Classification/4. Persisting the dataset.vtt

5.7 kB

7. Project 1 - Text Classification/5. Preprocessing the data.mp4

67 MB

7. Project 1 - Text Classification/5. Preprocessing the data.srt

6.0 kB

7. Project 1 - Text Classification/5. Preprocessing the data.vtt

5.2 kB

7. Project 1 - Text Classification/6. Transforming data into BOW Model.mp4

115 MB

7. Project 1 - Text Classification/6. Transforming data into BOW Model.srt

9.7 kB

7. Project 1 - Text Classification/6. Transforming data into BOW Model.vtt

8.6 kB

7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.mp4

47 MB

7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.srt

3.9 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

72 MB

7. Project 1 - Text Classification/8. Creating training and test set.srt

5.7 kB

7. Project 1 - Text Classification/8. Creating training and test set.vtt

5.0 kB

7. Project 1 - Text Classification/9. Understanding Logistic Regression.mp4

202 MB

7. Project 1 - Text Classification/9. Understanding Logistic Regression.srt

20 kB

7. Project 1 - Text Classification/9. Understanding Logistic Regression.vtt

18 kB

8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.mp4

28 MB

8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.srt

5.0 kB

8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.vtt

4.3 kB

8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.mp4

35 MB

8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.srt

5.3 kB

8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.vtt

4.6 kB

8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.mp4

47 MB

8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.srt

4.6 kB

8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.vtt

4.0 kB

8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.mp4

81 MB

8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.srt

6.7 kB

8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.vtt

5.9 kB

8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.mp4

36 MB

8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.srt

2.5 kB

8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.vtt

2.2 kB

8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.mp4

133 MB

8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.srt

7.0 kB

8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.vtt

6.0 kB

8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.mp4

38 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

2.0 kB

8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.mp4

103 MB

8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.srt

8.7 kB

8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.vtt

7.6 kB

9. Project 3 - Text Summarization/1. Understanding Text Summarization.mp4

96 MB

9. Project 3 - Text Summarization/1. Understanding Text Summarization.srt

9.8 kB

9. Project 3 - Text Summarization/1. Understanding Text Summarization.vtt

8.5 kB

9. Project 3 - Text Summarization/2. Fetching article data from the web.mp4

44 MB

9. Project 3 - Text Summarization/2. Fetching article data from the web.srt

5.9 kB

9. Project 3 - Text Summarization/2. Fetching article data from the web.vtt

5.1 kB

9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.mp4

94 MB

9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.srt

9.5 kB

9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.vtt

8.2 kB

9. Project 3 - Text Summarization/4. Preprocessing the data.mp4

48 MB

9. Project 3 - Text Summarization/4. Preprocessing the data.srt

4.1 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

51 MB

9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.srt

4.5 kB

9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.vtt

3.9 kB

9. Project 3 - Text Summarization/6. Building the histogram.mp4

59 MB

9. Project 3 - Text Summarization/6. Building the histogram.srt

5.4 kB

9. Project 3 - Text Summarization/6. Building the histogram.vtt

4.7 kB

9. Project 3 - Text Summarization/7. Calculating the sentence scores.mp4

100 MB

9. Project 3 - Text Summarization/7. Calculating the sentence scores.srt

7.9 kB

9. Project 3 - Text Summarization/7. Calculating the sentence scores.vtt

7.0 kB

9. Project 3 - Text Summarization/8. Getting the summary.mp4

77 MB

9. Project 3 - Text Summarization/8. Getting the summary.srt

6.0 kB

9. Project 3 - Text Summarization/8. Getting the summary.vtt

5.2 kB

[FreeCoursesOnline.Me].url

133 B

[FreeTutorials.Us].url

119 B

[FTU Forum].url

252 B