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[FreeTutorials.Us] Udemy - Hands On Natural Language Processing (NLP) using Python
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[FreeTutorials.Us] Udemy - Hands On Natural Language Processing (NLP) using Python
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2018-09-10
最近下载:
2024-11-23
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文件列表
10. Word2Vec Analysis/1. Understanding Word Vectors.mp4
168.4 MB
10. Word2Vec Analysis/1. Understanding Word Vectors.srt
16.4 kB
10. Word2Vec Analysis/1. Understanding Word Vectors.vtt
14.3 kB
10. Word2Vec Analysis/2. Importing the data.mp4
57.6 MB
10. Word2Vec Analysis/2. Importing the data.srt
6.6 kB
10. Word2Vec Analysis/2. Importing the data.vtt
5.7 kB
10. Word2Vec Analysis/3. Preparing the data.mp4
40.4 MB
10. Word2Vec Analysis/3. Preparing the data.srt
4.2 kB
10. Word2Vec Analysis/3. Preparing the data.vtt
3.7 kB
10. Word2Vec Analysis/4. Training the Word2Vec Model.mp4
35.5 MB
10. Word2Vec Analysis/4. Training the Word2Vec Model.srt
3.6 kB
10. Word2Vec Analysis/4. Training the Word2Vec Model.vtt
3.1 kB
10. Word2Vec Analysis/5. Testing Model Performance.mp4
57.1 MB
10. Word2Vec Analysis/5. Testing Model Performance.srt
5.1 kB
10. Word2Vec Analysis/5. Testing Model Performance.vtt
4.4 kB
10. Word2Vec Analysis/6. Improving the Model.mp4
113.5 MB
10. Word2Vec Analysis/6. Improving the Model.srt
8.0 kB
10. Word2Vec Analysis/6. Improving the Model.vtt
6.9 kB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.mp4
52.9 MB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.srt
6.9 kB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.vtt
6.1 kB
11. Conclusion/1. Where you go from here.html
727 Bytes
1. Introduction to the Course/1. What is NLP.mp4
79.4 MB
1. Introduction to the Course/1. What is NLP.srt
7.8 kB
1. Introduction to the Course/1. What is NLP.vtt
6.8 kB
1. Introduction to the Course/2. Getting the Course Resources.mp4
19.1 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
1.9 kB
1. Introduction to the Course/3. Getting the Course Resources - Text.html
614 Bytes
2. Getting the required softwares/1. Installing Anaconda Python.mp4
35.0 MB
2. Getting the required softwares/1. Installing Anaconda Python.srt
4.6 kB
2. Getting the required softwares/1. Installing Anaconda Python.vtt
4.0 kB
2. Getting the required softwares/2. Installing Anaconda Python - Text.html
734 Bytes
2. Getting the required softwares/3. A tour of Spyder IDE.mp4
49.1 MB
2. Getting the required softwares/3. A tour of Spyder IDE.srt
6.2 kB
2. Getting the required softwares/3. A tour of Spyder IDE.vtt
5.4 kB
2. Getting the required softwares/4. How to take this course.html
1.7 kB
3. Python Crash Course/10. Introduction to Classes and Objects.mp4
96.9 MB
3. Python Crash Course/10. Introduction to Classes and Objects.srt
9.6 kB
3. Python Crash Course/10. Introduction to Classes and Objects.vtt
8.4 kB
3. Python Crash Course/11. List Comprehension.mp4
173.5 MB
3. Python Crash Course/11. List Comprehension.srt
17.0 kB
3. Python Crash Course/11. List Comprehension.vtt
14.7 kB
3. Python Crash Course/12. Test Your Skills.html
156 Bytes
3. Python Crash Course/1. Variables and Operations in Python.mp4
63.2 MB
3. Python Crash Course/1. Variables and Operations in Python.srt
9.7 kB
3. Python Crash Course/1. Variables and Operations in Python.vtt
8.5 kB
3. Python Crash Course/2. Conditional Statements.mp4
66.9 MB
3. Python Crash Course/2. Conditional Statements.srt
7.1 kB
3. Python Crash Course/2. Conditional Statements.vtt
6.2 kB
3. Python Crash Course/3. Introduction to Loops.mp4
67.9 MB
3. Python Crash Course/3. Introduction to Loops.srt
10.1 kB
3. Python Crash Course/3. Introduction to Loops.vtt
8.8 kB
3. Python Crash Course/4. Loop Control Statements.mp4
65.0 MB
3. Python Crash Course/4. Loop Control Statements.srt
9.6 kB
3. Python Crash Course/4. Loop Control Statements.vtt
8.3 kB
3. Python Crash Course/5. Python Data Structures - Lists.mp4
135.5 MB
3. Python Crash Course/5. Python Data Structures - Lists.srt
16.4 kB
3. Python Crash Course/5. Python Data Structures - Lists.vtt
14.3 kB
3. Python Crash Course/6. Python Data Structures - Tuples.mp4
63.9 MB
3. Python Crash Course/6. Python Data Structures - Tuples.srt
7.2 kB
3. Python Crash Course/6. Python Data Structures - Tuples.vtt
6.3 kB
3. Python Crash Course/7. Python Data Structures - Dictionaries.mp4
131.1 MB
3. Python Crash Course/7. Python Data Structures - Dictionaries.srt
14.6 kB
3. Python Crash Course/7. Python Data Structures - Dictionaries.vtt
12.7 kB
3. Python Crash Course/8. Console and File IO in Python.mp4
101.7 MB
3. Python Crash Course/8. Console and File IO in Python.srt
10.0 kB
3. Python Crash Course/8. Console and File IO in Python.vtt
8.6 kB
3. Python Crash Course/9. Introduction to Functions.mp4
80.5 MB
3. Python Crash Course/9. Introduction to Functions.srt
8.5 kB
3. Python Crash Course/9. Introduction to Functions.vtt
7.4 kB
4. Regular Expressions/1. Introduction to Regular Expressions.mp4
65.9 MB
4. Regular Expressions/1. Introduction to Regular Expressions.srt
6.3 kB
4. Regular Expressions/1. Introduction to Regular Expressions.vtt
5.5 kB
4. Regular Expressions/2. Finding Patterns in Text Part 1.mp4
83.4 MB
4. Regular Expressions/2. Finding Patterns in Text Part 1.srt
11.2 kB
4. Regular Expressions/2. Finding Patterns in Text Part 1.vtt
9.7 kB
4. Regular Expressions/3. Finding Patterns in Text Part 2.mp4
85.4 MB
4. Regular Expressions/3. Finding Patterns in Text Part 2.srt
10.2 kB
4. Regular Expressions/3. Finding Patterns in Text Part 2.vtt
8.8 kB
4. Regular Expressions/4. Substituting Patterns in Text.mp4
56.9 MB
4. Regular Expressions/4. Substituting Patterns in Text.srt
8.3 kB
4. Regular Expressions/4. Substituting Patterns in Text.vtt
7.1 kB
4. Regular Expressions/5. Shorthand Character Classes.mp4
191.3 MB
4. Regular Expressions/5. Shorthand Character Classes.srt
17.7 kB
4. Regular Expressions/5. Shorthand Character Classes.vtt
15.4 kB
4. Regular Expressions/6. Character Ranges - Text.html
1.2 kB
4. Regular Expressions/7. Preprocessing using Regex.mp4
75.1 MB
4. Regular Expressions/7. Preprocessing using Regex.srt
8.2 kB
4. Regular Expressions/7. Preprocessing using Regex.vtt
7.1 kB
4. Regular Expressions/8. Test Your Skills.html
156 Bytes
5. Numpy and Pandas/1. Introduction to Numpy.mp4
294.3 MB
5. Numpy and Pandas/1. Introduction to Numpy.srt
27.7 kB
5. Numpy and Pandas/1. Introduction to Numpy.vtt
24.0 kB
5. Numpy and Pandas/2. Introduction to Pandas.mp4
263.8 MB
5. Numpy and Pandas/2. Introduction to Pandas.srt
29.3 kB
5. Numpy and Pandas/2. Introduction to Pandas.vtt
25.3 kB
6. NLP Core/10. Named Entity Recognition.mp4
58.8 MB
6. NLP Core/10. Named Entity Recognition.srt
7.0 kB
6. NLP Core/10. Named Entity Recognition.vtt
6.2 kB
6. NLP Core/11. Text Modelling using Bag of Words Model.mp4
153.2 MB
6. NLP Core/11. Text Modelling using Bag of Words Model.srt
15.1 kB
6. NLP Core/11. Text Modelling using Bag of Words Model.vtt
13.1 kB
6. NLP Core/12. Building the BOW Model Part 1.mp4
92.9 MB
6. NLP Core/12. Building the BOW Model Part 1.srt
5.6 kB
6. NLP Core/12. Building the BOW Model Part 1.vtt
4.9 kB
6. NLP Core/13. Building the BOW Model Part 2.mp4
86.2 MB
6. NLP Core/13. Building the BOW Model Part 2.srt
6.2 kB
6. NLP Core/13. Building the BOW Model Part 2.vtt
5.4 kB
6. NLP Core/14. Building the BOW Model Part 3.mp4
80.7 MB
6. NLP Core/14. Building the BOW Model Part 3.srt
5.9 kB
6. NLP Core/14. Building the BOW Model Part 3.vtt
5.1 kB
6. NLP Core/15. Building the BOW Model Part 4.mp4
113.3 MB
6. NLP Core/15. Building the BOW Model Part 4.srt
8.6 kB
6. NLP Core/15. Building the BOW Model Part 4.vtt
7.5 kB
6. NLP Core/16. Text Modelling using TF-IDF Model.mp4
233.9 MB
6. NLP Core/16. Text Modelling using TF-IDF Model.srt
22.6 kB
6. NLP Core/16. Text Modelling using TF-IDF Model.vtt
19.6 kB
6. NLP Core/17. Building the TF-IDF Model Part 1.mp4
115.2 MB
6. NLP Core/17. Building the TF-IDF Model Part 1.srt
8.4 kB
6. NLP Core/17. Building the TF-IDF Model Part 1.vtt
7.4 kB
6. NLP Core/18. Building the TF-IDF Model Part 2.mp4
128.7 MB
6. NLP Core/18. Building the TF-IDF Model Part 2.srt
9.6 kB
6. NLP Core/18. Building the TF-IDF Model Part 2.vtt
8.4 kB
6. NLP Core/19. Building the TF-IDF Model Part 3.mp4
115.2 MB
6. NLP Core/19. Building the TF-IDF Model Part 3.srt
8.6 kB
6. NLP Core/19. Building the TF-IDF Model Part 3.vtt
7.5 kB
6. NLP Core/1. Installing NLTK in Python.mp4
30.7 MB
6. NLP Core/1. Installing NLTK in Python.srt
5.4 kB
6. NLP Core/1. Installing NLTK in Python.vtt
4.8 kB
6. NLP Core/20. Building the TF-IDF Model Part 4.mp4
67.7 MB
6. NLP Core/20. Building the TF-IDF Model Part 4.srt
5.4 kB
6. NLP Core/20. Building the TF-IDF Model Part 4.vtt
4.7 kB
6. NLP Core/21. Understanding the N-Gram Model.mp4
271.8 MB
6. NLP Core/21. Understanding the N-Gram Model.srt
27.7 kB
6. NLP Core/21. Understanding the N-Gram Model.vtt
24.1 kB
6. NLP Core/22. Building Character N-Gram Model.mp4
194.7 MB
6. NLP Core/22. Building Character N-Gram Model.srt
20.7 kB
6. NLP Core/22. Building Character N-Gram Model.vtt
18.0 kB
6. NLP Core/23. Building Word N-Gram Model.mp4
168.3 MB
6. NLP Core/23. Building Word N-Gram Model.srt
15.1 kB
6. NLP Core/23. Building Word N-Gram Model.vtt
13.2 kB
6. NLP Core/24. Understanding Latent Semantic Analysis.mp4
203.9 MB
6. NLP Core/24. Understanding Latent Semantic Analysis.srt
19.7 kB
6. NLP Core/24. Understanding Latent Semantic Analysis.vtt
17.2 kB
6. NLP Core/25. LSA in Python Part 1.mp4
309.9 MB
6. NLP Core/25. LSA in Python Part 1.srt
26.5 kB
6. NLP Core/25. LSA in Python Part 1.vtt
22.9 kB
6. NLP Core/26. LSA in Python Part 2.mp4
199.5 MB
6. NLP Core/26. LSA in Python Part 2.srt
15.2 kB
6. NLP Core/26. LSA in Python Part 2.vtt
13.2 kB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.mp4
123.7 MB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.srt
13.5 kB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.vtt
11.7 kB
6. NLP Core/28. Word Negation Tracking in Python Part 1.mp4
95.1 MB
6. NLP Core/28. Word Negation Tracking in Python Part 1.srt
13.0 kB
6. NLP Core/28. Word Negation Tracking in Python Part 1.vtt
11.3 kB
6. NLP Core/29. Word Negation Tracking in Python Part 2.mp4
61.5 MB
6. NLP Core/29. Word Negation Tracking in Python Part 2.srt
8.3 kB
6. NLP Core/29. Word Negation Tracking in Python Part 2.vtt
7.2 kB
6. NLP Core/2. Tokenizing Words and Sentences.mp4
78.3 MB
6. NLP Core/2. Tokenizing Words and Sentences.srt
5.5 kB
6. NLP Core/2. Tokenizing Words and Sentences.vtt
4.8 kB
6. NLP Core/3. How tokenization works - Text.html
1.6 kB
6. NLP Core/4. Introduction to Stemming and Lemmatization.mp4
112.8 MB
6. NLP Core/4. Introduction to Stemming and Lemmatization.srt
10.3 kB
6. NLP Core/4. Introduction to Stemming and Lemmatization.vtt
9.0 kB
6. NLP Core/5. Stemming using NLTK.mp4
140.0 MB
6. NLP Core/5. Stemming using NLTK.srt
8.7 kB
6. NLP Core/5. Stemming using NLTK.vtt
7.6 kB
6. NLP Core/6. Lemmatization using NLTK.mp4
80.2 MB
6. NLP Core/6. Lemmatization using NLTK.srt
4.6 kB
6. NLP Core/6. Lemmatization using NLTK.vtt
3.9 kB
6. NLP Core/7. Stop word removal using NLTK.mp4
146.6 MB
6. NLP Core/7. Stop word removal using NLTK.srt
8.8 kB
6. NLP Core/7. Stop word removal using NLTK.vtt
7.7 kB
6. NLP Core/8. Parts Of Speech Tagging.mp4
114.4 MB
6. NLP Core/8. Parts Of Speech Tagging.srt
8.0 kB
6. NLP Core/8. Parts Of Speech Tagging.vtt
6.9 kB
6. NLP Core/9. POS Tag Meanings.html
3.4 kB
7. Project 1 - Text Classification/10. Training our classifier.mp4
32.2 MB
7. Project 1 - Text Classification/10. Training our classifier.srt
2.4 kB
7. Project 1 - Text Classification/10. Training our classifier.vtt
2.1 kB
7. Project 1 - Text Classification/11. Testing Model performance.mp4
88.1 MB
7. Project 1 - Text Classification/11. Testing Model performance.srt
7.4 kB
7. Project 1 - Text Classification/11. Testing Model performance.vtt
6.4 kB
7. Project 1 - Text Classification/12. Saving our Model.mp4
101.3 MB
7. Project 1 - Text Classification/12. Saving our Model.srt
7.9 kB
7. Project 1 - Text Classification/12. Saving our Model.vtt
6.9 kB
7. Project 1 - Text Classification/13. Importing and using our Model.mp4
58.8 MB
7. Project 1 - Text Classification/13. Importing and using our Model.srt
5.1 kB
7. Project 1 - Text Classification/13. Importing and using our Model.vtt
4.4 kB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.mp4
65.1 MB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.srt
7.8 kB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.vtt
6.8 kB
7. Project 1 - Text Classification/2. Getting the data for Text Classification - Text.html
806 Bytes
7. Project 1 - Text Classification/3. Importing the dataset.mp4
60.3 MB
7. Project 1 - Text Classification/3. Importing the dataset.srt
6.8 kB
7. Project 1 - Text Classification/3. Importing the dataset.vtt
5.9 kB
7. Project 1 - Text Classification/4. Persisting the dataset.mp4
75.1 MB
7. Project 1 - Text Classification/4. Persisting the dataset.srt
6.6 kB
7. Project 1 - Text Classification/4. Persisting the dataset.vtt
5.8 kB
7. Project 1 - Text Classification/5. Preprocessing the data.mp4
70.7 MB
7. Project 1 - Text Classification/5. Preprocessing the data.srt
6.2 kB
7. Project 1 - Text Classification/5. Preprocessing the data.vtt
5.4 kB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.mp4
120.3 MB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.srt
10.0 kB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.vtt
8.8 kB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.mp4
49.7 MB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.srt
4.0 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
75.3 MB
7. Project 1 - Text Classification/8. Creating training and test set.srt
5.8 kB
7. Project 1 - Text Classification/8. Creating training and test set.vtt
5.1 kB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.mp4
211.4 MB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.srt
20.9 kB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.vtt
18.3 kB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.mp4
29.7 MB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.srt
5.1 kB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.vtt
4.4 kB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.mp4
36.8 MB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.srt
5.4 kB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.vtt
4.7 kB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.mp4
49.0 MB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.srt
4.7 kB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.vtt
4.1 kB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.mp4
84.9 MB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.srt
6.9 kB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.vtt
6.0 kB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.mp4
37.8 MB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.srt
2.6 kB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.vtt
2.3 kB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.mp4
139.5 MB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.srt
7.1 kB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.vtt
6.2 kB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.mp4
40.0 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
2.1 kB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.mp4
107.7 MB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.srt
8.9 kB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.vtt
7.8 kB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.mp4
100.3 MB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.srt
10.0 kB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.vtt
8.7 kB
9. Project 3 - Text Summarization/2. Fetching article data from the web.mp4
46.0 MB
9. Project 3 - Text Summarization/2. Fetching article data from the web.srt
6.0 kB
9. Project 3 - Text Summarization/2. Fetching article data from the web.vtt
5.3 kB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.mp4
98.8 MB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.srt
9.7 kB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.vtt
8.4 kB
9. Project 3 - Text Summarization/4. Preprocessing the data.mp4
50.6 MB
9. Project 3 - Text Summarization/4. Preprocessing the data.srt
4.2 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
53.1 MB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.srt
4.6 kB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.vtt
4.0 kB
9. Project 3 - Text Summarization/6. Building the histogram.mp4
61.4 MB
9. Project 3 - Text Summarization/6. Building the histogram.srt
5.6 kB
9. Project 3 - Text Summarization/6. Building the histogram.vtt
4.9 kB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.mp4
104.7 MB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.srt
8.1 kB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.vtt
7.1 kB
9. Project 3 - Text Summarization/8. Getting the summary.mp4
80.7 MB
9. Project 3 - Text Summarization/8. Getting the summary.srt
6.1 kB
9. Project 3 - Text Summarization/8. Getting the summary.vtt
5.3 kB
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