FreeCourseSite com Udemy Hands On Natural Language Processing NLP using Python

FreeCourseSite com Udemy Hands On Natural Language Processing NLP using Python

Name	[FreeCourseSite.com] Udemy - Hands On Natural Language Processing (NLP) using Python	DOWNLOAD Copy Link
Total Size	8.6 GB
Total Files	268
Hash	9FFD6EFE9D0AAF14F7B98E386013BAF1A279BE93

/1. Introduction to the Course/
1. What is NLP.mp4	79.4 MB
1. What is NLP.srt	7.8 KB
1. What is NLP.vtt	6.8 KB
2. Getting the Course Resources.mp4	19.1 MB
2. Getting the Course Resources.srt	2.1 KB
2. Getting the Course Resources.vtt	1.9 KB
3. Getting the Course Resources - Text.html	0.6 KB
/10. Word2Vec Analysis/
1. Understanding Word Vectors.mp4	168.4 MB
1. Understanding Word Vectors.srt	16.4 KB
1. Understanding Word Vectors.vtt	14.3 KB
2. Importing the data.mp4	57.6 MB
2. Importing the data.srt	6.6 KB
2. Importing the data.vtt	5.7 KB
3. Preparing the data.mp4	40.4 MB
3. Preparing the data.srt	4.2 KB
3. Preparing the data.vtt	3.7 KB
4. Training the Word2Vec Model.mp4	35.5 MB
4. Training the Word2Vec Model.srt	3.6 KB
4. Training the Word2Vec Model.vtt	3.1 KB
5. Testing Model Performance.mp4	57.1 MB
5. Testing Model Performance.srt	5.1 KB
5. Testing Model Performance.vtt	4.4 KB
6. Improving the Model.mp4	113.5 MB
6. Improving the Model.srt	8.0 KB
6. Improving the Model.vtt	6.9 KB
7. Exploring Pre-trained Models.mp4	52.9 MB
7. Exploring Pre-trained Models.srt	6.9 KB
7. Exploring Pre-trained Models.vtt	6.1 KB
/11. Conclusion/
1. Where you go from here.html	0.7 KB
/2. Getting the required softwares/
1. Installing Anaconda Python.mp4	35.0 MB
1. Installing Anaconda Python.srt	4.6 KB
1. Installing Anaconda Python.vtt	4.0 KB
2. Installing Anaconda Python - Text.html	0.7 KB
3. A tour of Spyder IDE.mp4	49.1 MB
3. A tour of Spyder IDE.srt	6.2 KB
3. A tour of Spyder IDE.vtt	5.4 KB
4. How to take this course.html	1.7 KB
/3. Python Crash Course/
1. Variables and Operations in Python.mp4	63.2 MB
1. Variables and Operations in Python.srt	9.7 KB
1. Variables and Operations in Python.vtt	8.5 KB
10. Introduction to Classes and Objects.mp4	96.9 MB
10. Introduction to Classes and Objects.srt	9.6 KB
10. Introduction to Classes and Objects.vtt	8.4 KB
11. List Comprehension.mp4	173.5 MB
11. List Comprehension.srt	17.0 KB
11. List Comprehension.vtt	14.7 KB
12. Test Your Skills.html	0.2 KB
2. Conditional Statements.mp4	66.9 MB
2. Conditional Statements.srt	7.1 KB
2. Conditional Statements.vtt	6.2 KB
3. Introduction to Loops.mp4	67.9 MB
3. Introduction to Loops.srt	10.1 KB
3. Introduction to Loops.vtt	8.8 KB
4. Loop Control Statements.mp4	65.0 MB
4. Loop Control Statements.srt	9.6 KB
4. Loop Control Statements.vtt	8.3 KB
5. Python Data Structures - Lists.mp4	135.5 MB
5. Python Data Structures - Lists.srt	16.4 KB
5. Python Data Structures - Lists.vtt	14.3 KB
6. Python Data Structures - Tuples.mp4	63.9 MB
6. Python Data Structures - Tuples.srt	7.2 KB
6. Python Data Structures - Tuples.vtt	6.3 KB
7. Python Data Structures - Dictionaries.mp4	131.1 MB
7. Python Data Structures - Dictionaries.srt	14.6 KB
7. Python Data Structures - Dictionaries.vtt	12.7 KB
8. Console and File IO in Python.mp4	101.7 MB
8. Console and File IO in Python.srt	10.0 KB
8. Console and File IO in Python.vtt	8.6 KB
9. Introduction to Functions.mp4	80.5 MB
9. Introduction to Functions.srt	8.5 KB
9. Introduction to Functions.vtt	7.4 KB
/4. Regular Expressions/
1. Introduction to Regular Expressions.mp4	65.9 MB
1. Introduction to Regular Expressions.srt	6.3 KB
1. Introduction to Regular Expressions.vtt	5.5 KB
2. Finding Patterns in Text Part 1.mp4	83.4 MB
2. Finding Patterns in Text Part 1.srt	11.2 KB
2. Finding Patterns in Text Part 1.vtt	9.7 KB
3. Finding Patterns in Text Part 2.mp4	85.4 MB
3. Finding Patterns in Text Part 2.srt	10.2 KB
3. Finding Patterns in Text Part 2.vtt	8.8 KB
4. Substituting Patterns in Text.mp4	56.9 MB
4. Substituting Patterns in Text.srt	8.3 KB
4. Substituting Patterns in Text.vtt	7.1 KB
5. Shorthand Character Classes.mp4	191.3 MB
5. Shorthand Character Classes.srt	17.7 KB
5. Shorthand Character Classes.vtt	15.4 KB
6. Character Ranges - Text.html	1.2 KB
7. Preprocessing using Regex.mp4	75.1 MB
7. Preprocessing using Regex.srt	8.2 KB
7. Preprocessing using Regex.vtt	7.1 KB
8. Test Your Skills.html	0.2 KB
/5. Numpy and Pandas/
1. Introduction to Numpy.mp4	294.3 MB
1. Introduction to Numpy.srt	27.7 KB
1. Introduction to Numpy.vtt	24.0 KB
2. Introduction to Pandas.mp4	263.8 MB
2. Introduction to Pandas.srt	29.3 KB
2. Introduction to Pandas.vtt	25.3 KB
/6. NLP Core/
1. Installing NLTK in Python.mp4	30.7 MB
1. Installing NLTK in Python.srt	5.4 KB
1. Installing NLTK in Python.vtt	4.8 KB
10. Named Entity Recognition.mp4	58.8 MB
10. Named Entity Recognition.srt	7.0 KB
10. Named Entity Recognition.vtt	6.2 KB
11. Text Modelling using Bag of Words Model.mp4	153.2 MB
11. Text Modelling using Bag of Words Model.srt	15.1 KB
11. Text Modelling using Bag of Words Model.vtt	13.1 KB
12. Building the BOW Model Part 1.mp4	92.9 MB
12. Building the BOW Model Part 1.srt	5.6 KB
12. Building the BOW Model Part 1.vtt	4.9 KB
13. Building the BOW Model Part 2.mp4	86.2 MB
13. Building the BOW Model Part 2.srt	6.2 KB
13. Building the BOW Model Part 2.vtt	5.4 KB
14. Building the BOW Model Part 3.mp4	80.7 MB
14. Building the BOW Model Part 3.srt	5.9 KB
14. Building the BOW Model Part 3.vtt	5.1 KB
15. Building the BOW Model Part 4.mp4	113.3 MB
15. Building the BOW Model Part 4.srt	8.6 KB
15. Building the BOW Model Part 4.vtt	7.5 KB
16. Text Modelling using TF-IDF Model.mp4	233.9 MB
16. Text Modelling using TF-IDF Model.srt	22.6 KB
16. Text Modelling using TF-IDF Model.vtt	19.6 KB
17. Building the TF-IDF Model Part 1.mp4	115.2 MB
17. Building the TF-IDF Model Part 1.srt	8.4 KB
17. Building the TF-IDF Model Part 1.vtt	7.4 KB
18. Building the TF-IDF Model Part 2.mp4	128.7 MB
18. Building the TF-IDF Model Part 2.srt	9.6 KB
18. Building the TF-IDF Model Part 2.vtt	8.4 KB
19. Building the TF-IDF Model Part 3.mp4	115.2 MB
19. Building the TF-IDF Model Part 3.srt	8.6 KB
19. Building the TF-IDF Model Part 3.vtt	7.5 KB
2. Tokenizing Words and Sentences.mp4	78.3 MB
2. Tokenizing Words and Sentences.srt	5.5 KB
2. Tokenizing Words and Sentences.vtt	4.8 KB
20. Building the TF-IDF Model Part 4.mp4	67.7 MB
20. Building the TF-IDF Model Part 4.srt	5.4 KB
20. Building the TF-IDF Model Part 4.vtt	4.7 KB
21. Understanding the N-Gram Model.mp4	271.8 MB
21. Understanding the N-Gram Model.srt	27.7 KB
21. Understanding the N-Gram Model.vtt	24.1 KB
22. Building Character N-Gram Model.mp4	194.7 MB
22. Building Character N-Gram Model.srt	20.7 KB
22. Building Character N-Gram Model.vtt	18.0 KB
23. Building Word N-Gram Model.mp4	168.3 MB
23. Building Word N-Gram Model.srt	15.1 KB
23. Building Word N-Gram Model.vtt	13.2 KB
24. Understanding Latent Semantic Analysis.mp4	203.9 MB
24. Understanding Latent Semantic Analysis.srt	19.7 KB
24. Understanding Latent Semantic Analysis.vtt	17.2 KB
25. LSA in Python Part 1.mp4	309.9 MB
25. LSA in Python Part 1.srt	26.5 KB
25. LSA in Python Part 1.vtt	22.9 KB
26. LSA in Python Part 2.mp4	199.5 MB
26. LSA in Python Part 2.srt	15.2 KB
26. LSA in Python Part 2.vtt	13.2 KB
27. Word Synonyms and Antonyms using NLTK.mp4	123.7 MB
27. Word Synonyms and Antonyms using NLTK.srt	13.5 KB
27. Word Synonyms and Antonyms using NLTK.vtt	11.7 KB
28. Word Negation Tracking in Python Part 1.mp4	95.1 MB
28. Word Negation Tracking in Python Part 1.srt	13.0 KB
28. Word Negation Tracking in Python Part 1.vtt	11.3 KB
29. Word Negation Tracking in Python Part 2.mp4	61.5 MB
29. Word Negation Tracking in Python Part 2.srt	8.3 KB
29. Word Negation Tracking in Python Part 2.vtt	7.2 KB
3. How tokenization works - Text.html	1.6 KB
4. Introduction to Stemming and Lemmatization.mp4	112.8 MB
4. Introduction to Stemming and Lemmatization.srt	10.3 KB
4. Introduction to Stemming and Lemmatization.vtt	9.0 KB
5. Stemming using NLTK.mp4	140.0 MB
5. Stemming using NLTK.srt	8.7 KB
5. Stemming using NLTK.vtt	7.6 KB
6. Lemmatization using NLTK.mp4	80.2 MB
6. Lemmatization using NLTK.srt	4.6 KB
6. Lemmatization using NLTK.vtt	3.9 KB
7. Stop word removal using NLTK.mp4	146.6 MB
7. Stop word removal using NLTK.srt	8.8 KB
7. Stop word removal using NLTK.vtt	7.7 KB
8. Parts Of Speech Tagging.mp4	114.4 MB
8. Parts Of Speech Tagging.srt	8.0 KB
8. Parts Of Speech Tagging.vtt	6.9 KB
9. POS Tag Meanings.html	3.4 KB
/7. Project 1 - Text Classification/
1. Getting the data for Text Classification.mp4	65.1 MB
1. Getting the data for Text Classification.srt	7.8 KB
1. Getting the data for Text Classification.vtt	6.8 KB
10. Training our classifier.mp4	32.2 MB
10. Training our classifier.srt	2.4 KB
10. Training our classifier.vtt	2.1 KB
11. Testing Model performance.mp4	88.1 MB
11. Testing Model performance.srt	7.4 KB
11. Testing Model performance.vtt	6.4 KB
12. Saving our Model.mp4	101.3 MB
12. Saving our Model.srt	7.9 KB
12. Saving our Model.vtt	6.9 KB
13. Importing and using our Model.mp4	58.8 MB
13. Importing and using our Model.srt	5.1 KB
13. Importing and using our Model.vtt	4.4 KB
2. Getting the data for Text Classification - Text.html	0.8 KB
3. Importing the dataset.mp4	60.3 MB
3. Importing the dataset.srt	6.8 KB
3. Importing the dataset.vtt	5.9 KB
4. Persisting the dataset.mp4	75.1 MB
4. Persisting the dataset.srt	6.6 KB
4. Persisting the dataset.vtt	5.8 KB
5. Preprocessing the data.mp4	70.7 MB
5. Preprocessing the data.srt	6.2 KB
5. Preprocessing the data.vtt	5.4 KB
6. Transforming data into BOW Model.mp4	120.3 MB
6. Transforming data into BOW Model.srt	10.0 KB
6. Transforming data into BOW Model.vtt	8.8 KB
7. Transform BOW model into TF-IDF Model.mp4	49.7 MB
7. Transform BOW model into TF-IDF Model.srt	4.0 KB
7. Transform BOW model into TF-IDF Model.vtt	3.4 KB
8. Creating training and test set.mp4	75.3 MB
8. Creating training and test set.srt	5.8 KB
8. Creating training and test set.vtt	5.1 KB
9. Understanding Logistic Regression.mp4	211.4 MB
9. Understanding Logistic Regression.srt	20.9 KB
9. Understanding Logistic Regression.vtt	18.3 KB
/8. Project 2 - Twitter Sentiment Analysis/
1. Setting up Twitter Application.mp4	29.7 MB
1. Setting up Twitter Application.srt	5.1 KB
1. Setting up Twitter Application.vtt	4.4 KB
2. Initializing Tokens.mp4	36.8 MB
2. Initializing Tokens.srt	5.4 KB
2. Initializing Tokens.vtt	4.7 KB
3. Client Authentication.mp4	49.0 MB
3. Client Authentication.srt	4.7 KB
3. Client Authentication.vtt	4.1 KB
4. Fetching real time tweets.mp4	84.9 MB
4. Fetching real time tweets.srt	6.9 KB
4. Fetching real time tweets.vtt	6.0 KB
5. Loading TF-IDF Model and Classifier.mp4	37.8 MB
5. Loading TF-IDF Model and Classifier.srt	2.6 KB
5. Loading TF-IDF Model and Classifier.vtt	2.3 KB
6. Preprocessing the tweets.mp4	139.5 MB
6. Preprocessing the tweets.srt	7.1 KB
6. Preprocessing the tweets.vtt	6.2 KB
7. Predicting sentiments of tweets.mp4	40.0 MB
7. Predicting sentiments of tweets.srt	2.3 KB
7. Predicting sentiments of tweets.vtt	2.1 KB
8. Plotting the results.mp4	107.7 MB
8. Plotting the results.srt	8.9 KB
8. Plotting the results.vtt	7.8 KB
/9. Project 3 - Text Summarization/
1. Understanding Text Summarization.mp4	100.3 MB
1. Understanding Text Summarization.srt	10.0 KB
1. Understanding Text Summarization.vtt	8.7 KB
2. Fetching article data from the web.mp4	46.0 MB
2. Fetching article data from the web.srt	6.0 KB
2. Fetching article data from the web.vtt	5.3 KB
3. Parsing the data using Beautiful Soup.mp4	98.8 MB
3. Parsing the data using Beautiful Soup.srt	9.7 KB
3. Parsing the data using Beautiful Soup.vtt	8.4 KB
4. Preprocessing the data.mp4	50.6 MB
4. Preprocessing the data.srt	4.2 KB
4. Preprocessing the data.vtt	3.6 KB
5. Tokenizing Article into sentences.mp4	53.1 MB
5. Tokenizing Article into sentences.srt	4.6 KB
5. Tokenizing Article into sentences.vtt	4.0 KB
6. Building the histogram.mp4	61.4 MB
6. Building the histogram.srt	5.6 KB
6. Building the histogram.vtt	4.9 KB
7. Calculating the sentence scores.mp4	104.7 MB
7. Calculating the sentence scores.srt	8.1 KB
7. Calculating the sentence scores.vtt	7.1 KB
8. Getting the summary.mp4	80.7 MB
8. Getting the summary.srt	6.1 KB
8. Getting the summary.vtt	5.3 KB
/
[CourseClub.NET].url	0.1 KB
[FCS Forum].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
Total files 268