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Title [FreeTutorials.Us] Udemy - Hands On Natural Language Processing (NLP) using Python
Category
Size 7.99GB

Files List
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[FreeCoursesOnline.Me].url 133B
[FreeTutorials.Us].url 119B
[FTU Forum].url 252B
1. Getting the data for Text Classification.mp4 62.12MB
1. Getting the data for Text Classification.srt 7.61KB
1. Getting the data for Text Classification.vtt 6.68KB
1. Installing Anaconda Python.mp4 33.41MB
1. Installing Anaconda Python.srt 4.45KB
1. Installing Anaconda Python.vtt 3.93KB
1. Installing NLTK in Python.mp4 29.31MB
1. Installing NLTK in Python.srt 5.32KB
1. Installing NLTK in Python.vtt 4.72KB
1. Introduction to Numpy.mp4 280.68MB
1. Introduction to Numpy.srt 27.10KB
1. Introduction to Numpy.vtt 23.46KB
1. Introduction to Regular Expressions.mp4 62.85MB
1. Introduction to Regular Expressions.srt 6.13KB
1. Introduction to Regular Expressions.vtt 5.39KB
1. Setting up Twitter Application.mp4 28.34MB
1. Setting up Twitter Application.srt 4.95KB
1. Setting up Twitter Application.vtt 4.33KB
1. Understanding Text Summarization.mp4 95.68MB
1. Understanding Text Summarization.srt 9.76KB
1. Understanding Text Summarization.vtt 8.51KB
1. Understanding Word Vectors.mp4 160.61MB
1. Understanding Word Vectors.srt 16.00KB
1. Understanding Word Vectors.vtt 13.98KB
1. Variables and Operations in Python.mp4 60.28MB
1. Variables and Operations in Python.srt 9.49KB
1. Variables and Operations in Python.vtt 8.27KB
1. What is NLP.mp4 75.75MB
1. What is NLP.srt 7.65KB
1. What is NLP.vtt 6.67KB
1. Where you go from here.html 727B
10. Introduction to Classes and Objects.mp4 92.37MB
10. Introduction to Classes and Objects.srt 9.38KB
10. Introduction to Classes and Objects.vtt 8.21KB
10. Named Entity Recognition.mp4 56.08MB
10. Named Entity Recognition.srt 6.84KB
10. Named Entity Recognition.vtt 6.01KB
10. Training our classifier.mp4 30.69MB
10. Training our classifier.srt 2.30KB
10. Training our classifier.vtt 2.01KB
11. List Comprehension.mp4 165.47MB
11. List Comprehension.srt 16.60KB
11. List Comprehension.vtt 14.31KB
11. Testing Model performance.mp4 84.05MB
11. Testing Model performance.srt 7.19KB
11. Testing Model performance.vtt 6.25KB
11. Text Modelling using Bag of Words Model.mp4 146.10MB
11. Text Modelling using Bag of Words Model.srt 14.71KB
11. Text Modelling using Bag of Words Model.vtt 12.76KB
12. Building the BOW Model Part 1.mp4 88.59MB
12. Building the BOW Model Part 1.srt 5.45KB
12. Building the BOW Model Part 1.vtt 4.77KB
12. Saving our Model.mp4 96.63MB
12. Saving our Model.srt 7.75KB
12. Saving our Model.vtt 6.78KB
12. Test Your Skills.html 156B
13. Building the BOW Model Part 2.mp4 82.17MB
13. Building the BOW Model Part 2.srt 6.01KB
13. Building the BOW Model Part 2.vtt 5.25KB
13. Importing and using our Model.mp4 56.12MB
13. Importing and using our Model.srt 4.98KB
13. Importing and using our Model.vtt 4.33KB
14. Building the BOW Model Part 3.mp4 77.00MB
14. Building the BOW Model Part 3.srt 5.72KB
14. Building the BOW Model Part 3.vtt 4.96KB
15. Building the BOW Model Part 4.mp4 108.07MB
15. Building the BOW Model Part 4.srt 8.44KB
15. Building the BOW Model Part 4.vtt 7.36KB
16. Text Modelling using TF-IDF Model.mp4 223.04MB
16. Text Modelling using TF-IDF Model.srt 22.05KB
16. Text Modelling using TF-IDF Model.vtt 19.17KB
17. Building the TF-IDF Model Part 1.mp4 109.88MB
17. Building the TF-IDF Model Part 1.srt 8.21KB
17. Building the TF-IDF Model Part 1.vtt 7.19KB
18. Building the TF-IDF Model Part 2.mp4 122.73MB
18. Building the TF-IDF Model Part 2.srt 9.42KB
18. Building the TF-IDF Model Part 2.vtt 8.23KB
19. Building the TF-IDF Model Part 3.mp4 109.84MB
19. Building the TF-IDF Model Part 3.srt 8.37KB
19. Building the TF-IDF Model Part 3.vtt 7.32KB
2. Conditional Statements.mp4 63.77MB
2. Conditional Statements.srt 6.96KB
2. Conditional Statements.vtt 6.06KB
2. Fetching article data from the web.mp4 43.91MB
2. Fetching article data from the web.srt 5.89KB
2. Fetching article data from the web.vtt 5.14KB
2. Finding Patterns in Text Part 1.mp4 79.50MB
2. Finding Patterns in Text Part 1.srt 10.92KB
2. Finding Patterns in Text Part 1.vtt 9.48KB
2. Getting the Course Resources.mp4 18.23MB
2. Getting the Course Resources.srt 2.06KB
2. Getting the Course Resources.vtt 1.83KB
2. Getting the data for Text Classification - Text.html 806B
2. Importing the data.mp4 54.92MB
2. Importing the data.srt 6.47KB
2. Importing the data.vtt 5.60KB
2. Initializing Tokens.mp4 35.09MB
2. Initializing Tokens.srt 5.27KB
2. Initializing Tokens.vtt 4.60KB
2. Installing Anaconda Python - Text.html 734B
2. Introduction to Pandas.mp4 251.62MB
2. Introduction to Pandas.srt 28.61KB
2. Introduction to Pandas.vtt 24.73KB
2. Tokenizing Words and Sentences.mp4 74.63MB
2. Tokenizing Words and Sentences.srt 5.34KB
2. Tokenizing Words and Sentences.vtt 4.67KB
20. Building the TF-IDF Model Part 4.mp4 64.61MB
20. Building the TF-IDF Model Part 4.srt 5.27KB
20. Building the TF-IDF Model Part 4.vtt 4.58KB
21. Understanding the N-Gram Model.mp4 259.18MB
21. Understanding the N-Gram Model.srt 27.05KB
21. Understanding the N-Gram Model.vtt 23.50KB
22. Building Character N-Gram Model.mp4 185.73MB
22. Building Character N-Gram Model.srt 20.24KB
22. Building Character N-Gram Model.vtt 17.56KB
23. Building Word N-Gram Model.mp4 160.51MB
23. Building Word N-Gram Model.srt 14.76KB
23. Building Word N-Gram Model.vtt 12.88KB
24. Understanding Latent Semantic Analysis.mp4 194.47MB
24. Understanding Latent Semantic Analysis.srt 19.28KB
24. Understanding Latent Semantic Analysis.vtt 16.77KB
25. LSA in Python Part 1.mp4 295.56MB
25. LSA in Python Part 1.srt 25.90KB
25. LSA in Python Part 1.vtt 22.33KB
26. LSA in Python Part 2.mp4 190.24MB
26. LSA in Python Part 2.srt 14.85KB
26. LSA in Python Part 2.vtt 12.89KB
27. Word Synonyms and Antonyms using NLTK.mp4 117.98MB
27. Word Synonyms and Antonyms using NLTK.srt 13.15KB
27. Word Synonyms and Antonyms using NLTK.vtt 11.44KB
28. Word Negation Tracking in Python Part 1.mp4 90.71MB
28. Word Negation Tracking in Python Part 1.srt 12.67KB
28. Word Negation Tracking in Python Part 1.vtt 11.04KB
29. Word Negation Tracking in Python Part 2.mp4 58.63MB
29. Word Negation Tracking in Python Part 2.srt 8.12KB
29. Word Negation Tracking in Python Part 2.vtt 7.07KB
3. A tour of Spyder IDE.mp4 46.82MB
3. A tour of Spyder IDE.srt 6.09KB
3. A tour of Spyder IDE.vtt 5.31KB
3. Client Authentication.mp4 46.71MB
3. Client Authentication.srt 4.56KB
3. Client Authentication.vtt 3.98KB
3. Finding Patterns in Text Part 2.mp4 81.46MB
3. Finding Patterns in Text Part 2.srt 9.94KB
3. Finding Patterns in Text Part 2.vtt 8.62KB
3. Getting the Course Resources - Text.html 614B
3. How tokenization works - Text.html 1.60KB
3. Importing the dataset.mp4 57.53MB
3. Importing the dataset.srt 6.62KB
3. Importing the dataset.vtt 5.76KB
3. Introduction to Loops.mp4 64.77MB
3. Introduction to Loops.srt 9.84KB
3. Introduction to Loops.vtt 8.57KB
3. Parsing the data using Beautiful Soup.mp4 94.27MB
3. Parsing the data using Beautiful Soup.srt 9.46KB
3. Parsing the data using Beautiful Soup.vtt 8.18KB
3. Preparing the data.mp4 38.50MB
3. Preparing the data.srt 4.14KB
3. Preparing the data.vtt 3.57KB
4. Fetching real time tweets.mp4 80.92MB
4. Fetching real time tweets.srt 6.73KB
4. Fetching real time tweets.vtt 5.88KB
4. How to take this course.html 1.62KB
4. Introduction to Stemming and Lemmatization.mp4 107.55MB
4. Introduction to Stemming and Lemmatization.srt 10.05KB
4. Introduction to Stemming and Lemmatization.vtt 8.79KB
4. Loop Control Statements.mp4 62.02MB
4. Loop Control Statements.srt 9.36KB
4. Loop Control Statements.vtt 8.15KB
4. Persisting the dataset.mp4 71.63MB
4. Persisting the dataset.srt 6.46KB
4. Persisting the dataset.vtt 5.67KB
4. Preprocessing the data.mp4 48.27MB
4. Preprocessing the data.srt 4.05KB
4. Preprocessing the data.vtt 3.56KB
4. Substituting Patterns in Text.mp4 54.25MB
4. Substituting Patterns in Text.srt 8.07KB
4. Substituting Patterns in Text.vtt 6.96KB
4. Training the Word2Vec Model.mp4 33.81MB
4. Training the Word2Vec Model.srt 3.49KB
4. Training the Word2Vec Model.vtt 3.02KB
5. Loading TF-IDF Model and Classifier.mp4 36.03MB
5. Loading TF-IDF Model and Classifier.srt 2.53KB
5. Loading TF-IDF Model and Classifier.vtt 2.20KB
5. Preprocessing the data.mp4 67.38MB
5. Preprocessing the data.srt 6.02KB
5. Preprocessing the data.vtt 5.23KB
5. Python Data Structures - Lists.mp4 129.20MB
5. Python Data Structures - Lists.srt 16.03KB
5. Python Data Structures - Lists.vtt 13.92KB
5. Shorthand Character Classes.mp4 182.43MB
5. Shorthand Character Classes.srt 17.29KB
5. Shorthand Character Classes.vtt 14.99KB
5. Stemming using NLTK.mp4 133.54MB
5. Stemming using NLTK.srt 8.47KB
5. Stemming using NLTK.vtt 7.40KB
5. Testing Model Performance.mp4 54.49MB
5. Testing Model Performance.srt 4.94KB
5. Testing Model Performance.vtt 4.26KB
5. Tokenizing Article into sentences.mp4 50.67MB
5. Tokenizing Article into sentences.srt 4.47KB
5. Tokenizing Article into sentences.vtt 3.92KB
6. Building the histogram.mp4 58.55MB
6. Building the histogram.srt 5.45KB
6. Building the histogram.vtt 4.75KB
6. Character Ranges - Text.html 1.20KB
6. Improving the Model.mp4 108.23MB
6. Improving the Model.srt 7.83KB
6. Improving the Model.vtt 6.70KB
6. Lemmatization using NLTK.mp4 76.47MB
6. Lemmatization using NLTK.srt 4.48KB
6. Lemmatization using NLTK.vtt 3.85KB
6. Preprocessing the tweets.mp4 133.06MB
6. Preprocessing the tweets.srt 6.98KB
6. Preprocessing the tweets.vtt 6.04KB
6. Python Data Structures - Tuples.mp4 60.92MB
6. Python Data Structures - Tuples.srt 7.07KB
6. Python Data Structures - Tuples.vtt 6.11KB
6. Transforming data into BOW Model.mp4 114.68MB
6. Transforming data into BOW Model.srt 9.74KB
6. Transforming data into BOW Model.vtt 8.57KB
7. Calculating the sentence scores.mp4 99.83MB
7. Calculating the sentence scores.srt 7.92KB
7. Calculating the sentence scores.vtt 6.96KB
7. Exploring Pre-trained Models.mp4 50.42MB
7. Exploring Pre-trained Models.srt 6.74KB
7. Exploring Pre-trained Models.vtt 5.92KB
7. Predicting sentiments of tweets.mp4 38.12MB
7. Predicting sentiments of tweets.srt 2.28KB
7. Predicting sentiments of tweets.vtt 2.00KB
7. Preprocessing using Regex.mp4 71.64MB
7. Preprocessing using Regex.srt 7.98KB
7. Preprocessing using Regex.vtt 6.92KB
7. Python Data Structures - Dictionaries.mp4 125.07MB
7. Python Data Structures - Dictionaries.srt 14.22KB
7. Python Data Structures - Dictionaries.vtt 12.40KB
7. Stop word removal using NLTK.mp4 139.80MB
7. Stop word removal using NLTK.srt 8.58KB
7. Stop word removal using NLTK.vtt 7.52KB
7. Transform BOW model into TF-IDF Model.mp4 47.38MB
7. Transform BOW model into TF-IDF Model.srt 3.86KB
7. Transform BOW model into TF-IDF Model.vtt 3.35KB
8. Console and File IO in Python.mp4 97.00MB
8. Console and File IO in Python.srt 9.73KB
8. Console and File IO in Python.vtt 8.38KB
8. Creating training and test set.mp4 71.77MB
8. Creating training and test set.srt 5.70KB
8. Creating training and test set.vtt 4.98KB
8. Getting the summary.mp4 76.94MB
8. Getting the summary.srt 5.95KB
8. Getting the summary.vtt 5.16KB
8. Parts Of Speech Tagging.mp4 109.11MB
8. Parts Of Speech Tagging.srt 7.83KB
8. Parts Of Speech Tagging.vtt 6.77KB
8. Plotting the results.mp4 102.74MB
8. Plotting the results.srt 8.69KB
8. Plotting the results.vtt 7.57KB
8. Test Your Skills.html 156B
9. Introduction to Functions.mp4 76.76MB
9. Introduction to Functions.srt 8.29KB
9. Introduction to Functions.vtt 7.21KB
9. POS Tag Meanings.html 3.32KB
9. Understanding Logistic Regression.mp4 201.58MB
9. Understanding Logistic Regression.srt 20.38KB
9. Understanding Logistic Regression.vtt 17.87KB
Distribution statistics by country
United Kingdom (GB) 1
Tunisia (TN) 1
Belarus (BY) 1
New Zealand (NZ) 1
Estonia (EE) 1
Total 5
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