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