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10. Word2Vec Analysis/2. Importing the data.mp4
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10. Word2Vec Analysis/3. Preparing the data.mp4
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10. Word2Vec Analysis/7. Exploring Pre-trained Models.mp4
50.42MB
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11. Conclusion/1. Where you go from here.html
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1. Introduction to the Course/1. What is NLP.mp4
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2. Getting the required softwares/1. Installing Anaconda Python.mp4
33.41MB
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3. Python Crash Course/10. Introduction to Classes and Objects.mp4
92.37MB
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3. Python Crash Course/1. Variables and Operations in Python.mp4
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82.17MB
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6. NLP Core/13. Building the BOW Model Part 2.srt
6.01KB
6. NLP Core/13. Building the BOW Model Part 2.vtt
5.25KB
6. NLP Core/14. Building the BOW Model Part 3.mp4
77MB
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6. NLP Core/14. Building the BOW Model Part 3.srt
5.72KB
6. NLP Core/14. Building the BOW Model Part 3.vtt
4.96KB
6. NLP Core/15. Building the BOW Model Part 4.mp4
108.07MB
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6. NLP Core/15. Building the BOW Model Part 4.srt
8.44KB
6. NLP Core/15. Building the BOW Model Part 4.vtt
7.36KB
6. NLP Core/16. Text Modelling using TF-IDF Model.mp4
223.04MB
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22.05KB
6. NLP Core/16. Text Modelling using TF-IDF Model.vtt
19.17KB
6. NLP Core/17. Building the TF-IDF Model Part 1.mp4
109.88MB
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8.21KB
6. NLP Core/17. Building the TF-IDF Model Part 1.vtt
7.19KB
6. NLP Core/18. Building the TF-IDF Model Part 2.mp4
122.73MB
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6. NLP Core/18. Building the TF-IDF Model Part 2.srt
9.42KB
6. NLP Core/18. Building the TF-IDF Model Part 2.vtt
8.23KB
6. NLP Core/19. Building the TF-IDF Model Part 3.mp4
109.84MB
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8.37KB
6. NLP Core/19. Building the TF-IDF Model Part 3.vtt
7.32KB
6. NLP Core/1. Installing NLTK in Python.mp4
29.31MB
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6. NLP Core/1. Installing NLTK in Python.srt
5.32KB
6. NLP Core/1. Installing NLTK in Python.vtt
4.72KB
6. NLP Core/20. Building the TF-IDF Model Part 4.mp4
64.61MB
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6. NLP Core/20. Building the TF-IDF Model Part 4.srt
5.27KB
6. NLP Core/20. Building the TF-IDF Model Part 4.vtt
4.58KB
6. NLP Core/21. Understanding the N-Gram Model.mp4
259.18MB
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6. NLP Core/21. Understanding the N-Gram Model.srt
27.05KB
6. NLP Core/21. Understanding the N-Gram Model.vtt
23.5KB
6. NLP Core/22. Building Character N-Gram Model.mp4
185.73MB
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6. NLP Core/22. Building Character N-Gram Model.srt
20.24KB
6. NLP Core/22. Building Character N-Gram Model.vtt
17.56KB
6. NLP Core/23. Building Word N-Gram Model.mp4
160.51MB
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14.76KB
6. NLP Core/23. Building Word N-Gram Model.vtt
12.88KB
6. NLP Core/24. Understanding Latent Semantic Analysis.mp4
194.47MB
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6. NLP Core/24. Understanding Latent Semantic Analysis.srt
19.28KB
6. NLP Core/24. Understanding Latent Semantic Analysis.vtt
16.77KB
6. NLP Core/25. LSA in Python Part 1.mp4
295.56MB
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6. NLP Core/25. LSA in Python Part 1.srt
25.9KB
6. NLP Core/25. LSA in Python Part 1.vtt
22.33KB
6. NLP Core/26. LSA in Python Part 2.mp4
190.24MB
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6. NLP Core/26. LSA in Python Part 2.srt
14.85KB
6. NLP Core/26. LSA in Python Part 2.vtt
12.89KB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.mp4
117.98MB
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6. NLP Core/27. Word Synonyms and Antonyms using NLTK.srt
13.15KB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.vtt
11.44KB
6. NLP Core/28. Word Negation Tracking in Python Part 1.mp4
90.71MB
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6. NLP Core/28. Word Negation Tracking in Python Part 1.srt
12.67KB
6. NLP Core/28. Word Negation Tracking in Python Part 1.vtt
11.04KB
6. NLP Core/29. Word Negation Tracking in Python Part 2.mp4
58.63MB
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6. NLP Core/29. Word Negation Tracking in Python Part 2.srt
8.12KB
6. NLP Core/29. Word Negation Tracking in Python Part 2.vtt
7.07KB
6. NLP Core/2. Tokenizing Words and Sentences.mp4
74.63MB
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6. NLP Core/2. Tokenizing Words and Sentences.srt
5.34KB
6. NLP Core/2. Tokenizing Words and Sentences.vtt
4.67KB
6. NLP Core/3. How tokenization works - Text.html
1.6KB
6. NLP Core/4. Introduction to Stemming and Lemmatization.mp4
107.55MB
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6. NLP Core/4. Introduction to Stemming and Lemmatization.srt
10.05KB
6. NLP Core/4. Introduction to Stemming and Lemmatization.vtt
8.79KB
6. NLP Core/5. Stemming using NLTK.mp4
133.54MB
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6. NLP Core/5. Stemming using NLTK.srt
8.47KB
6. NLP Core/5. Stemming using NLTK.vtt
7.4KB
6. NLP Core/6. Lemmatization using NLTK.mp4
76.47MB
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6. NLP Core/6. Lemmatization using NLTK.srt
4.48KB
6. NLP Core/6. Lemmatization using NLTK.vtt
3.85KB
6. NLP Core/7. Stop word removal using NLTK.mp4
139.8MB
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6. NLP Core/7. Stop word removal using NLTK.srt
8.58KB
6. NLP Core/7. Stop word removal using NLTK.vtt
7.52KB
6. NLP Core/8. Parts Of Speech Tagging.mp4
109.11MB
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6. NLP Core/8. Parts Of Speech Tagging.srt
7.83KB
6. NLP Core/8. Parts Of Speech Tagging.vtt
6.77KB
6. NLP Core/9. POS Tag Meanings.html
3.32KB
7. Project 1 - Text Classification/10. Training our classifier.mp4
30.69MB
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7. Project 1 - Text Classification/10. Training our classifier.srt
2.3KB
7. Project 1 - Text Classification/10. Training our classifier.vtt
2.01KB
7. Project 1 - Text Classification/11. Testing Model performance.mp4
84.05MB
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7. Project 1 - Text Classification/11. Testing Model performance.srt
7.19KB
7. Project 1 - Text Classification/11. Testing Model performance.vtt
6.25KB
7. Project 1 - Text Classification/12. Saving our Model.mp4
96.63MB
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7. Project 1 - Text Classification/12. Saving our Model.srt
7.75KB
7. Project 1 - Text Classification/12. Saving our Model.vtt
6.78KB
7. Project 1 - Text Classification/13. Importing and using our Model.mp4
56.12MB
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7. Project 1 - Text Classification/13. Importing and using our Model.srt
4.98KB
7. Project 1 - Text Classification/13. Importing and using our Model.vtt
4.33KB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.mp4
62.12MB
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7. Project 1 - Text Classification/1. Getting the data for Text Classification.srt
7.61KB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.vtt
6.68KB
7. Project 1 - Text Classification/2. Getting the data for Text Classification - Text.html
806B
7. Project 1 - Text Classification/3. Importing the dataset.mp4
57.53MB
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7. Project 1 - Text Classification/3. Importing the dataset.srt
6.62KB
7. Project 1 - Text Classification/3. Importing the dataset.vtt
5.76KB
7. Project 1 - Text Classification/4. Persisting the dataset.mp4
71.63MB
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7. Project 1 - Text Classification/4. Persisting the dataset.srt
6.46KB
7. Project 1 - Text Classification/4. Persisting the dataset.vtt
5.67KB
7. Project 1 - Text Classification/5. Preprocessing the data.mp4
67.38MB
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7. Project 1 - Text Classification/5. Preprocessing the data.srt
6.02KB
7. Project 1 - Text Classification/5. Preprocessing the data.vtt
5.23KB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.mp4
114.68MB
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7. Project 1 - Text Classification/6. Transforming data into BOW Model.srt
9.74KB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.vtt
8.57KB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.mp4
47.38MB
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7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.srt
3.86KB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.vtt
3.35KB
7. Project 1 - Text Classification/8. Creating training and test set.mp4
71.77MB
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7. Project 1 - Text Classification/8. Creating training and test set.srt
5.7KB
7. Project 1 - Text Classification/8. Creating training and test set.vtt
4.98KB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.mp4
201.58MB
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7. Project 1 - Text Classification/9. Understanding Logistic Regression.srt
20.38KB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.vtt
17.87KB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.mp4
28.34MB
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8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.srt
4.95KB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.vtt
4.33KB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.mp4
35.09MB
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8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.srt
5.27KB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.vtt
4.6KB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.mp4
46.71MB
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8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.srt
4.56KB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.vtt
3.98KB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.mp4
80.92MB
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8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.srt
6.73KB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.vtt
5.88KB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.mp4
36.03MB
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8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.srt
2.53KB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.vtt
2.2KB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.mp4
133.06MB
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8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.srt
6.98KB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.vtt
6.04KB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.mp4
38.12MB
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8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.srt
2.28KB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.vtt
2KB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.mp4
102.74MB
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8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.srt
8.69KB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.vtt
7.57KB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.mp4
95.68MB
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9. Project 3 - Text Summarization/1. Understanding Text Summarization.srt
9.76KB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.vtt
8.51KB
9. Project 3 - Text Summarization/2. Fetching article data from the web.mp4
43.91MB
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9. Project 3 - Text Summarization/2. Fetching article data from the web.srt
5.89KB
9. Project 3 - Text Summarization/2. Fetching article data from the web.vtt
5.14KB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.mp4
94.27MB
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9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.srt
9.46KB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.vtt
8.18KB
9. Project 3 - Text Summarization/4. Preprocessing the data.mp4
48.27MB
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9. Project 3 - Text Summarization/4. Preprocessing the data.srt
4.05KB
9. Project 3 - Text Summarization/4. Preprocessing the data.vtt
3.56KB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.mp4
50.67MB
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9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.srt
4.47KB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.vtt
3.92KB
9. Project 3 - Text Summarization/6. Building the histogram.mp4
58.55MB
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9. Project 3 - Text Summarization/6. Building the histogram.srt
5.45KB
9. Project 3 - Text Summarization/6. Building the histogram.vtt
4.75KB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.mp4
99.83MB
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9. Project 3 - Text Summarization/7. Calculating the sentence scores.srt
7.92KB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.vtt
6.96KB
9. Project 3 - Text Summarization/8. Getting the summary.mp4
76.94MB
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9. Project 3 - Text Summarization/8. Getting the summary.srt
5.95KB
9. Project 3 - Text Summarization/8. Getting the summary.vtt
5.16KB
[FreeCoursesOnline.Me].url
133B
[FreeTutorials.Us].url
119B