[FreeTutorials.Us] Udemy - Hands On Natural Language Processing (NLP) using Python
大小
7.99 GB
文件数
268
Info Hash:
C753A6B6C8C6432BB14495C5275EB2495172BD5D
收录时间
2025-12-22 14:44:04
更新时间
2025-12-22 14:44:04
文件列表 (268)
10. Word2Vec Analysis/1. Understanding Word Vectors.mp4
160.61 MB
10. Word2Vec Analysis/1. Understanding Word Vectors.srt
16 KB
10. Word2Vec Analysis/1. Understanding Word Vectors.vtt
13.98 KB
10. Word2Vec Analysis/2. Importing the data.mp4
54.92 MB
10. Word2Vec Analysis/2. Importing the data.srt
6.47 KB
10. Word2Vec Analysis/2. Importing the data.vtt
5.6 KB
10. Word2Vec Analysis/3. Preparing the data.mp4
38.5 MB
10. Word2Vec Analysis/3. Preparing the data.srt
4.14 KB
10. Word2Vec Analysis/3. Preparing the data.vtt
3.57 KB
10. Word2Vec Analysis/4. Training the Word2Vec Model.mp4
33.81 MB
10. Word2Vec Analysis/4. Training the Word2Vec Model.srt
3.49 KB
10. Word2Vec Analysis/4. Training the Word2Vec Model.vtt
3.02 KB
10. Word2Vec Analysis/5. Testing Model Performance.mp4
54.49 MB
10. Word2Vec Analysis/5. Testing Model Performance.srt
4.94 KB
10. Word2Vec Analysis/5. Testing Model Performance.vtt
4.26 KB
10. Word2Vec Analysis/6. Improving the Model.mp4
108.23 MB
10. Word2Vec Analysis/6. Improving the Model.srt
7.83 KB
10. Word2Vec Analysis/6. Improving the Model.vtt
6.7 KB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.mp4
50.42 MB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.srt
6.74 KB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.vtt
5.92 KB
11. Conclusion/1. Where you go from here.html
727 B
1. Introduction to the Course/1. What is NLP.mp4
75.75 MB
1. Introduction to the Course/1. What is NLP.srt
7.65 KB
1. Introduction to the Course/1. What is NLP.vtt
6.67 KB
1. Introduction to the Course/2. Getting the Course Resources.mp4
18.23 MB
1. Introduction to the Course/2. Getting the Course Resources.srt
2.06 KB
1. Introduction to the Course/2. Getting the Course Resources.vtt
1.83 KB
1. Introduction to the Course/3. Getting the Course Resources - Text.html
614 B
2. Getting the required softwares/1. Installing Anaconda Python.mp4
33.41 MB
2. Getting the required softwares/1. Installing Anaconda Python.srt
4.45 KB
2. Getting the required softwares/1. Installing Anaconda Python.vtt
3.93 KB
2. Getting the required softwares/2. Installing Anaconda Python - Text.html
734 B
2. Getting the required softwares/3. A tour of Spyder IDE.mp4
46.82 MB
2. Getting the required softwares/3. A tour of Spyder IDE.srt
6.09 KB
2. Getting the required softwares/3. A tour of Spyder IDE.vtt
5.31 KB
2. Getting the required softwares/4. How to take this course.html
1.62 KB
3. Python Crash Course/10. Introduction to Classes and Objects.mp4
92.37 MB
3. Python Crash Course/10. Introduction to Classes and Objects.srt
9.38 KB
3. Python Crash Course/10. Introduction to Classes and Objects.vtt
8.21 KB
3. Python Crash Course/11. List Comprehension.mp4
165.47 MB
3. Python Crash Course/11. List Comprehension.srt
16.6 KB
3. Python Crash Course/11. List Comprehension.vtt
14.31 KB
3. Python Crash Course/12. Test Your Skills.html
156 B
3. Python Crash Course/1. Variables and Operations in Python.mp4
60.28 MB
3. Python Crash Course/1. Variables and Operations in Python.srt
9.49 KB
3. Python Crash Course/1. Variables and Operations in Python.vtt
8.27 KB
3. Python Crash Course/2. Conditional Statements.mp4
63.77 MB
3. Python Crash Course/2. Conditional Statements.srt
6.96 KB
3. Python Crash Course/2. Conditional Statements.vtt
6.06 KB
3. Python Crash Course/3. Introduction to Loops.mp4
64.77 MB
3. Python Crash Course/3. Introduction to Loops.srt
9.84 KB
3. Python Crash Course/3. Introduction to Loops.vtt
8.57 KB
3. Python Crash Course/4. Loop Control Statements.mp4
62.02 MB
3. Python Crash Course/4. Loop Control Statements.srt
9.36 KB
3. Python Crash Course/4. Loop Control Statements.vtt
8.15 KB
3. Python Crash Course/5. Python Data Structures - Lists.mp4
129.2 MB
3. Python Crash Course/5. Python Data Structures - Lists.srt
16.03 KB
3. Python Crash Course/5. Python Data Structures - Lists.vtt
13.92 KB
3. Python Crash Course/6. Python Data Structures - Tuples.mp4
60.92 MB
3. Python Crash Course/6. Python Data Structures - Tuples.srt
7.07 KB
3. Python Crash Course/6. Python Data Structures - Tuples.vtt
6.11 KB
3. Python Crash Course/7. Python Data Structures - Dictionaries.mp4
125.07 MB
3. Python Crash Course/7. Python Data Structures - Dictionaries.srt
14.22 KB
3. Python Crash Course/7. Python Data Structures - Dictionaries.vtt
12.4 KB
3. Python Crash Course/8. Console and File IO in Python.mp4
97 MB
3. Python Crash Course/8. Console and File IO in Python.srt
9.73 KB
3. Python Crash Course/8. Console and File IO in Python.vtt
8.38 KB
3. Python Crash Course/9. Introduction to Functions.mp4
76.76 MB
3. Python Crash Course/9. Introduction to Functions.srt
8.29 KB
3. Python Crash Course/9. Introduction to Functions.vtt
7.21 KB
4. Regular Expressions/1. Introduction to Regular Expressions.mp4
62.85 MB
4. Regular Expressions/1. Introduction to Regular Expressions.srt
6.13 KB
4. Regular Expressions/1. Introduction to Regular Expressions.vtt
5.39 KB
4. Regular Expressions/2. Finding Patterns in Text Part 1.mp4
79.5 MB
4. Regular Expressions/2. Finding Patterns in Text Part 1.srt
10.92 KB
4. Regular Expressions/2. Finding Patterns in Text Part 1.vtt
9.48 KB
4. Regular Expressions/3. Finding Patterns in Text Part 2.mp4
81.46 MB
4. Regular Expressions/3. Finding Patterns in Text Part 2.srt
9.94 KB
4. Regular Expressions/3. Finding Patterns in Text Part 2.vtt
8.62 KB
4. Regular Expressions/4. Substituting Patterns in Text.mp4
54.25 MB
4. Regular Expressions/4. Substituting Patterns in Text.srt
8.07 KB
4. Regular Expressions/4. Substituting Patterns in Text.vtt
6.96 KB
4. Regular Expressions/5. Shorthand Character Classes.mp4
182.43 MB
4. Regular Expressions/5. Shorthand Character Classes.srt
17.29 KB
4. Regular Expressions/5. Shorthand Character Classes.vtt
14.99 KB
4. Regular Expressions/6. Character Ranges - Text.html
1.2 KB
4. Regular Expressions/7. Preprocessing using Regex.mp4
71.64 MB
4. Regular Expressions/7. Preprocessing using Regex.srt
7.98 KB
4. Regular Expressions/7. Preprocessing using Regex.vtt
6.92 KB
4. Regular Expressions/8. Test Your Skills.html
156 B
5. Numpy and Pandas/1. Introduction to Numpy.mp4
280.68 MB
5. Numpy and Pandas/1. Introduction to Numpy.srt
27.1 KB
5. Numpy and Pandas/1. Introduction to Numpy.vtt
23.46 KB
5. Numpy and Pandas/2. Introduction to Pandas.mp4
251.62 MB
5. Numpy and Pandas/2. Introduction to Pandas.srt
28.61 KB
5. Numpy and Pandas/2. Introduction to Pandas.vtt
24.73 KB
6. NLP Core/10. Named Entity Recognition.mp4
56.08 MB
6. NLP Core/10. Named Entity Recognition.srt
6.84 KB
6. NLP Core/10. Named Entity Recognition.vtt
6.01 KB
6. NLP Core/11. Text Modelling using Bag of Words Model.mp4
146.1 MB
6. NLP Core/11. Text Modelling using Bag of Words Model.srt
14.71 KB
6. NLP Core/11. Text Modelling using Bag of Words Model.vtt
12.76 KB
6. NLP Core/12. Building the BOW Model Part 1.mp4
88.59 MB
6. NLP Core/12. Building the BOW Model Part 1.srt
5.45 KB
6. NLP Core/12. Building the BOW Model Part 1.vtt
4.77 KB
6. NLP Core/13. Building the BOW Model Part 2.mp4
82.17 MB
6. NLP Core/13. Building the BOW Model Part 2.srt
6.01 KB
6. NLP Core/13. Building the BOW Model Part 2.vtt
5.25 KB
6. NLP Core/14. Building the BOW Model Part 3.mp4
77 MB
6. NLP Core/14. Building the BOW Model Part 3.srt
5.72 KB
6. NLP Core/14. Building the BOW Model Part 3.vtt
4.96 KB
6. NLP Core/15. Building the BOW Model Part 4.mp4
108.07 MB
6. NLP Core/15. Building the BOW Model Part 4.srt
8.44 KB
6. NLP Core/15. Building the BOW Model Part 4.vtt
7.36 KB
6. NLP Core/16. Text Modelling using TF-IDF Model.mp4
223.04 MB
6. NLP Core/16. Text Modelling using TF-IDF Model.srt
22.05 KB
6. NLP Core/16. Text Modelling using TF-IDF Model.vtt
19.17 KB
6. NLP Core/17. Building the TF-IDF Model Part 1.mp4
109.88 MB
6. NLP Core/17. Building the TF-IDF Model Part 1.srt
8.21 KB
6. NLP Core/17. Building the TF-IDF Model Part 1.vtt
7.19 KB
6. NLP Core/18. Building the TF-IDF Model Part 2.mp4
122.73 MB
6. NLP Core/18. Building the TF-IDF Model Part 2.srt
9.42 KB
6. NLP Core/18. Building the TF-IDF Model Part 2.vtt
8.23 KB
6. NLP Core/19. Building the TF-IDF Model Part 3.mp4
109.84 MB
6. NLP Core/19. Building the TF-IDF Model Part 3.srt
8.37 KB
6. NLP Core/19. Building the TF-IDF Model Part 3.vtt
7.32 KB
6. NLP Core/1. Installing NLTK in Python.mp4
29.31 MB
6. NLP Core/1. Installing NLTK in Python.srt
5.32 KB
6. NLP Core/1. Installing NLTK in Python.vtt
4.72 KB
6. NLP Core/20. Building the TF-IDF Model Part 4.mp4
64.61 MB
6. NLP Core/20. Building the TF-IDF Model Part 4.srt
5.27 KB
6. NLP Core/20. Building the TF-IDF Model Part 4.vtt
4.58 KB
6. NLP Core/21. Understanding the N-Gram Model.mp4
259.18 MB
6. NLP Core/21. Understanding the N-Gram Model.srt
27.05 KB
6. NLP Core/21. Understanding the N-Gram Model.vtt
23.5 KB
6. NLP Core/22. Building Character N-Gram Model.mp4
185.73 MB
6. NLP Core/22. Building Character N-Gram Model.srt
20.24 KB
6. NLP Core/22. Building Character N-Gram Model.vtt
17.56 KB
6. NLP Core/23. Building Word N-Gram Model.mp4
160.51 MB
6. NLP Core/23. Building Word N-Gram Model.srt
14.76 KB
6. NLP Core/23. Building Word N-Gram Model.vtt
12.88 KB
6. NLP Core/24. Understanding Latent Semantic Analysis.mp4
194.47 MB
6. NLP Core/24. Understanding Latent Semantic Analysis.srt
19.28 KB
6. NLP Core/24. Understanding Latent Semantic Analysis.vtt
16.77 KB
6. NLP Core/25. LSA in Python Part 1.mp4
295.56 MB
6. NLP Core/25. LSA in Python Part 1.srt
25.9 KB
6. NLP Core/25. LSA in Python Part 1.vtt
22.33 KB
6. NLP Core/26. LSA in Python Part 2.mp4
190.24 MB
6. NLP Core/26. LSA in Python Part 2.srt
14.85 KB
6. NLP Core/26. LSA in Python Part 2.vtt
12.89 KB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.mp4
117.98 MB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.srt
13.15 KB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.vtt
11.44 KB
6. NLP Core/28. Word Negation Tracking in Python Part 1.mp4
90.71 MB
6. NLP Core/28. Word Negation Tracking in Python Part 1.srt
12.67 KB
6. NLP Core/28. Word Negation Tracking in Python Part 1.vtt
11.04 KB
6. NLP Core/29. Word Negation Tracking in Python Part 2.mp4
58.63 MB
6. NLP Core/29. Word Negation Tracking in Python Part 2.srt
8.12 KB
6. NLP Core/29. Word Negation Tracking in Python Part 2.vtt
7.07 KB
6. NLP Core/2. Tokenizing Words and Sentences.mp4
74.63 MB
6. NLP Core/2. Tokenizing Words and Sentences.srt
5.34 KB
6. NLP Core/2. Tokenizing Words and Sentences.vtt
4.67 KB
6. NLP Core/3. How tokenization works - Text.html
1.6 KB
6. NLP Core/4. Introduction to Stemming and Lemmatization.mp4
107.55 MB
6. NLP Core/4. Introduction to Stemming and Lemmatization.srt
10.05 KB
6. NLP Core/4. Introduction to Stemming and Lemmatization.vtt
8.79 KB
6. NLP Core/5. Stemming using NLTK.mp4
133.54 MB
6. NLP Core/5. Stemming using NLTK.srt
8.47 KB
6. NLP Core/5. Stemming using NLTK.vtt
7.4 KB
6. NLP Core/6. Lemmatization using NLTK.mp4
76.47 MB
6. NLP Core/6. Lemmatization using NLTK.srt
4.48 KB
6. NLP Core/6. Lemmatization using NLTK.vtt
3.85 KB
6. NLP Core/7. Stop word removal using NLTK.mp4
139.8 MB
6. NLP Core/7. Stop word removal using NLTK.srt
8.58 KB
6. NLP Core/7. Stop word removal using NLTK.vtt
7.52 KB
6. NLP Core/8. Parts Of Speech Tagging.mp4
109.11 MB
6. NLP Core/8. Parts Of Speech Tagging.srt
7.83 KB
6. NLP Core/8. Parts Of Speech Tagging.vtt
6.77 KB
6. NLP Core/9. POS Tag Meanings.html
3.32 KB
7. Project 1 - Text Classification/10. Training our classifier.mp4
30.69 MB
7. Project 1 - Text Classification/10. Training our classifier.srt
2.3 KB
7. Project 1 - Text Classification/10. Training our classifier.vtt
2.01 KB
7. Project 1 - Text Classification/11. Testing Model performance.mp4
84.05 MB
7. Project 1 - Text Classification/11. Testing Model performance.srt
7.19 KB
7. Project 1 - Text Classification/11. Testing Model performance.vtt
6.25 KB
7. Project 1 - Text Classification/12. Saving our Model.mp4
96.63 MB
7. Project 1 - Text Classification/12. Saving our Model.srt
7.75 KB
7. Project 1 - Text Classification/12. Saving our Model.vtt
6.78 KB
7. Project 1 - Text Classification/13. Importing and using our Model.mp4
56.12 MB
7. Project 1 - Text Classification/13. Importing and using our Model.srt
4.98 KB
7. Project 1 - Text Classification/13. Importing and using our Model.vtt
4.33 KB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.mp4
62.12 MB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.srt
7.61 KB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.vtt
6.68 KB
7. Project 1 - Text Classification/2. Getting the data for Text Classification - Text.html
806 B
7. Project 1 - Text Classification/3. Importing the dataset.mp4
57.53 MB
7. Project 1 - Text Classification/3. Importing the dataset.srt
6.62 KB
7. Project 1 - Text Classification/3. Importing the dataset.vtt
5.76 KB
7. Project 1 - Text Classification/4. Persisting the dataset.mp4
71.63 MB
7. Project 1 - Text Classification/4. Persisting the dataset.srt
6.46 KB
7. Project 1 - Text Classification/4. Persisting the dataset.vtt
5.67 KB
7. Project 1 - Text Classification/5. Preprocessing the data.mp4
67.38 MB
7. Project 1 - Text Classification/5. Preprocessing the data.srt
6.02 KB
7. Project 1 - Text Classification/5. Preprocessing the data.vtt
5.23 KB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.mp4
114.68 MB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.srt
9.74 KB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.vtt
8.57 KB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.mp4
47.38 MB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.srt
3.86 KB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.vtt
3.35 KB
7. Project 1 - Text Classification/8. Creating training and test set.mp4
71.77 MB
7. Project 1 - Text Classification/8. Creating training and test set.srt
5.7 KB
7. Project 1 - Text Classification/8. Creating training and test set.vtt
4.98 KB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.mp4
201.58 MB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.srt
20.38 KB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.vtt
17.87 KB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.mp4
28.34 MB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.srt
4.95 KB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.vtt
4.33 KB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.mp4
35.09 MB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.srt
5.27 KB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.vtt
4.6 KB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.mp4
46.71 MB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.srt
4.56 KB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.vtt
3.98 KB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.mp4
80.92 MB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.srt
6.73 KB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.vtt
5.88 KB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.mp4
36.03 MB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.srt
2.53 KB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.vtt
2.2 KB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.mp4
133.06 MB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.srt
6.98 KB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.vtt
6.04 KB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.mp4
38.12 MB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.srt
2.28 KB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.vtt
2 KB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.mp4
102.74 MB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.srt
8.69 KB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.vtt
7.57 KB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.mp4
95.68 MB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.srt
9.76 KB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.vtt
8.51 KB
9. Project 3 - Text Summarization/2. Fetching article data from the web.mp4
43.91 MB
9. Project 3 - Text Summarization/2. Fetching article data from the web.srt
5.89 KB
9. Project 3 - Text Summarization/2. Fetching article data from the web.vtt
5.14 KB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.mp4
94.27 MB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.srt
9.46 KB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.vtt
8.18 KB
9. Project 3 - Text Summarization/4. Preprocessing the data.mp4
48.27 MB
9. Project 3 - Text Summarization/4. Preprocessing the data.srt
4.05 KB
9. Project 3 - Text Summarization/4. Preprocessing the data.vtt
3.56 KB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.mp4
50.67 MB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.srt
4.47 KB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.vtt
3.92 KB
9. Project 3 - Text Summarization/6. Building the histogram.mp4
58.55 MB
9. Project 3 - Text Summarization/6. Building the histogram.srt
5.45 KB
9. Project 3 - Text Summarization/6. Building the histogram.vtt
4.75 KB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.mp4
99.83 MB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.srt
7.92 KB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.vtt
6.96 KB
9. Project 3 - Text Summarization/8. Getting the summary.mp4
76.94 MB
9. Project 3 - Text Summarization/8. Getting the summary.srt
5.95 KB
9. Project 3 - Text Summarization/8. Getting the summary.vtt
5.16 KB
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