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[FreeTutorials.Us] Udemy - Hands On Natural Language Processing (NLP) using Python
magnet:?xt=urn:btih:c753a6b6c8c6432bb14495c5275eb2495172bd5d&dn=[FreeTutorials.Us] Udemy - Hands On Natural Language Processing (NLP) using Python
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文件列表详情
c753a6b6c8c6432bb14495c5275eb2495172bd5d
infohash:
85
文件数量
7.99 GB
文件大小
2019-5-16 07:23
创建日期
2024-9-16 09:26
最后访问
相关分词
FreeTutorials
Us
Udemy
-
Hands
On
Natural
Language
Processing
NLP
using
Python
10. Word2Vec Analysis/1. Understanding Word Vectors.mp4 160.61 MB
10. Word2Vec Analysis/2. Importing the data.mp4 54.92 MB
10. Word2Vec Analysis/3. Preparing the data.mp4 38.5 MB
10. Word2Vec Analysis/4. Training the Word2Vec Model.mp4 33.81 MB
10. Word2Vec Analysis/5. Testing Model Performance.mp4 54.49 MB
10. Word2Vec Analysis/6. Improving the Model.mp4 108.23 MB
10. Word2Vec Analysis/7. Exploring Pre-trained Models.mp4 50.42 MB
1. Introduction to the Course/1. What is NLP.mp4 75.75 MB
1. Introduction to the Course/2. Getting the Course Resources.mp4 18.23 MB
2. Getting the required softwares/1. Installing Anaconda Python.mp4 33.41 MB
2. Getting the required softwares/3. A tour of Spyder IDE.mp4 46.82 MB
3. Python Crash Course/10. Introduction to Classes and Objects.mp4 92.37 MB
3. Python Crash Course/11. List Comprehension.mp4 165.47 MB
3. Python Crash Course/1. Variables and Operations in Python.mp4 60.28 MB
3. Python Crash Course/2. Conditional Statements.mp4 63.77 MB
3. Python Crash Course/3. Introduction to Loops.mp4 64.77 MB
3. Python Crash Course/4. Loop Control Statements.mp4 62.02 MB
3. Python Crash Course/5. Python Data Structures - Lists.mp4 129.2 MB
3. Python Crash Course/6. Python Data Structures - Tuples.mp4 60.92 MB
3. Python Crash Course/7. Python Data Structures - Dictionaries.mp4 125.07 MB
3. Python Crash Course/8. Console and File IO in Python.mp4 97 MB
3. Python Crash Course/9. Introduction to Functions.mp4 76.76 MB
4. Regular Expressions/1. Introduction to Regular Expressions.mp4 62.85 MB
4. Regular Expressions/2. Finding Patterns in Text Part 1.mp4 79.5 MB
4. Regular Expressions/3. Finding Patterns in Text Part 2.mp4 81.46 MB
4. Regular Expressions/4. Substituting Patterns in Text.mp4 54.25 MB
4. Regular Expressions/5. Shorthand Character Classes.mp4 182.43 MB
4. Regular Expressions/7. Preprocessing using Regex.mp4 71.64 MB
5. Numpy and Pandas/1. Introduction to Numpy.mp4 280.68 MB
5. Numpy and Pandas/2. Introduction to Pandas.mp4 251.62 MB
6. NLP Core/10. Named Entity Recognition.mp4 56.08 MB
6. NLP Core/11. Text Modelling using Bag of Words Model.mp4 146.1 MB
6. NLP Core/12. Building the BOW Model Part 1.mp4 88.59 MB
6. NLP Core/13. Building the BOW Model Part 2.mp4 82.17 MB
6. NLP Core/14. Building the BOW Model Part 3.mp4 77 MB
6. NLP Core/15. Building the BOW Model Part 4.mp4 108.07 MB
6. NLP Core/16. Text Modelling using TF-IDF Model.mp4 223.04 MB
6. NLP Core/17. Building the TF-IDF Model Part 1.mp4 109.88 MB
6. NLP Core/18. Building the TF-IDF Model Part 2.mp4 122.73 MB
6. NLP Core/19. Building the TF-IDF Model Part 3.mp4 109.84 MB
6. NLP Core/1. Installing NLTK in Python.mp4 29.31 MB
6. NLP Core/20. Building the TF-IDF Model Part 4.mp4 64.61 MB
6. NLP Core/21. Understanding the N-Gram Model.mp4 259.18 MB
6. NLP Core/22. Building Character N-Gram Model.mp4 185.73 MB
6. NLP Core/23. Building Word N-Gram Model.mp4 160.51 MB
6. NLP Core/24. Understanding Latent Semantic Analysis.mp4 194.47 MB
6. NLP Core/25. LSA in Python Part 1.mp4 295.56 MB
6. NLP Core/26. LSA in Python Part 2.mp4 190.24 MB
6. NLP Core/27. Word Synonyms and Antonyms using NLTK.mp4 117.98 MB
6. NLP Core/28. Word Negation Tracking in Python Part 1.mp4 90.71 MB
6. NLP Core/29. Word Negation Tracking in Python Part 2.mp4 58.63 MB
6. NLP Core/2. Tokenizing Words and Sentences.mp4 74.63 MB
6. NLP Core/4. Introduction to Stemming and Lemmatization.mp4 107.55 MB
6. NLP Core/5. Stemming using NLTK.mp4 133.54 MB
6. NLP Core/6. Lemmatization using NLTK.mp4 76.47 MB
6. NLP Core/7. Stop word removal using NLTK.mp4 139.8 MB
6. NLP Core/8. Parts Of Speech Tagging.mp4 109.11 MB
7. Project 1 - Text Classification/10. Training our classifier.mp4 30.69 MB
7. Project 1 - Text Classification/11. Testing Model performance.mp4 84.05 MB
7. Project 1 - Text Classification/12. Saving our Model.mp4 96.63 MB
7. Project 1 - Text Classification/13. Importing and using our Model.mp4 56.12 MB
7. Project 1 - Text Classification/1. Getting the data for Text Classification.mp4 62.12 MB
7. Project 1 - Text Classification/3. Importing the dataset.mp4 57.53 MB
7. Project 1 - Text Classification/4. Persisting the dataset.mp4 71.63 MB
7. Project 1 - Text Classification/5. Preprocessing the data.mp4 67.38 MB
7. Project 1 - Text Classification/6. Transforming data into BOW Model.mp4 114.68 MB
7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.mp4 47.38 MB
7. Project 1 - Text Classification/8. Creating training and test set.mp4 71.77 MB
7. Project 1 - Text Classification/9. Understanding Logistic Regression.mp4 201.58 MB
8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.mp4 28.34 MB
8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.mp4 35.09 MB
8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.mp4 46.71 MB
8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.mp4 80.92 MB
8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.mp4 36.03 MB
8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.mp4 133.06 MB
8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.mp4 38.12 MB
8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.mp4 102.74 MB
9. Project 3 - Text Summarization/1. Understanding Text Summarization.mp4 95.68 MB
9. Project 3 - Text Summarization/2. Fetching article data from the web.mp4 43.91 MB
9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.mp4 94.27 MB
9. Project 3 - Text Summarization/4. Preprocessing the data.mp4 48.27 MB
9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.mp4 50.67 MB
9. Project 3 - Text Summarization/6. Building the histogram.mp4 58.55 MB
9. Project 3 - Text Summarization/7. Calculating the sentence scores.mp4 99.83 MB
9. Project 3 - Text Summarization/8. Getting the summary.mp4 76.94 MB
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