[UDEMY] HANDS ON NATURAL LANGUAGE PROCESSING (NLP) USING PYTHON [FTU]

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[FreeTutorials.Us] Udemy - Hands On Natural Language Processing (NLP) using Python 10. Word2Vec Analysis
  • 1. Understanding Word Vectors.mp4 (160.6 MB)
  • 1. Understanding Word Vectors.srt (16.0 KB)
  • 1. Understanding Word Vectors.vtt (14.0 KB)
  • 2. Importing the data.mp4 (54.9 MB)
  • 2. Importing the data.srt (6.5 KB)
  • 2. Importing the data.vtt (5.6 KB)
  • 3. Preparing the data.mp4 (38.5 MB)
  • 3. Preparing the data.srt (4.1 KB)
  • 3. Preparing the data.vtt (3.6 KB)
  • 4. Training the Word2Vec Model.mp4 (33.8 MB)
  • 4. Training the Word2Vec Model.srt (3.5 KB)
  • 4. Training the Word2Vec Model.vtt (3.0 KB)
  • 5. Testing Model Performance.mp4 (54.5 MB)
  • 5. Testing Model Performance.srt (4.9 KB)
  • 5. Testing Model Performance.vtt (4.3 KB)
  • 6. Improving the Model.mp4 (108.2 MB)
  • 6. Improving the Model.srt (7.8 KB)
  • 6. Improving the Model.vtt (6.7 KB)
  • 7. Exploring Pre-trained Models.mp4 (50.4 MB)
  • 7. Exploring Pre-trained Models.srt (6.7 KB)
  • 7. Exploring Pre-trained Models.vtt (5.9 KB)
11. Conclusion
  • 1. Where you go from here.html (0.7 KB)
1. Introduction to the Course
  • 1. What is NLP.mp4 (75.7 MB)
  • 1. What is NLP.srt (7.7 KB)
  • 1. What is NLP.vtt (6.7 KB)
  • 2. Getting the Course Resources.mp4 (18.2 MB)
  • 2. Getting the Course Resources.srt (2.1 KB)
  • 2. Getting the Course Resources.vtt (1.8 KB)
  • 3. Getting the Course Resources - Text.html (0.6 KB)
2. Getting the required softwares
  • 1. Installing Anaconda Python.mp4 (33.4 MB)
  • 1. Installing Anaconda Python.srt (4.5 KB)
  • 1. Installing Anaconda Python.vtt (3.9 KB)
  • 2. Installing Anaconda Python - Text.html (0.7 KB)
  • 3. A tour of Spyder IDE.mp4 (46.8 MB)
  • 3. A tour of Spyder IDE.srt (6.1 KB)
  • 3. A tour of Spyder IDE.vtt (5.3 KB)
  • 4. How to take this course.html (1.6 KB)
3. Python Crash Course
  • 10. Introduction to Classes and Objects.mp4 (92.4 MB)
  • 10. Introduction to Classes and Objects.srt (9.4 KB)
  • 10. Introduction to Classes and Objects.vtt (8.2 KB)
  • 11. List Comprehension.mp4 (165.5 MB)
  • 11. List Comprehension.srt (16.6 KB)
  • 11. List Comprehension.vtt (14.3 KB)
  • 12. Test Your Skills.html (0.2 KB)
  • 1. Variables and Operations in Python.mp4 (60.3 MB)
  • 1. Variables and Operations in Python.srt (9.5 KB)
  • 1. Variables and Operations in Python.vtt (8.3 KB)
  • 2. Conditional Statements.mp4 (63.8 MB)
  • 2. Conditional Statements.srt (7.0 KB)
  • 2. Conditional Statements.vtt (6.1 KB)
  • 3. Introduction to Loops.mp4 (64.8 MB)
  • 3. Introduction to Loops.srt (9.8 KB)
  • 3. Introduction to Loops.vtt (8.6 KB)
  • 4. Loop Control Statements.mp4 (62.0 MB)
  • 4. Loop Control Statements.srt (9.4 KB)
  • 4. Loop Control Statements.vtt (8.2 KB)
  • 5. Python Data Structures - Lists.mp4 (129.2 MB)
  • 5. Python Data Structures - Lists.srt (16.0 KB)
  • 5. Python Data Structures - Lists.vtt (13.9 KB)
  • 6. Python Data Structures - Tuples.mp4 (60.9 MB)
  • 6. Python Data Structures - Tuples.srt (7.1 KB)
  • 6. Python Data Structures - Tuples.vtt (6.1 KB)
  • 7. Python Data Structures - Dictionaries.mp4 (125.1 MB)
  • 7. Python Data Structures - Dictionaries.srt (14.2 KB)
  • 7. Python Data Structures - Dictionaries.vtt (12.4 KB)
  • 8. Console and File IO in Python.mp4 (97.0 MB)
  • 8. Console and File IO in Python.srt (9.7 KB)
  • 8. Console and File IO in Python.vtt (8.4 KB)
  • 9. Introduction to Functions.mp4 (76.8 MB)
  • 9. Introduction to Functions.srt (8.3 KB)
  • 9. Introduction to Functions.vtt (7.2 KB)
4. Regular Expressions
  • 1. Introduction to Regular Expressions.mp4 (62.8 MB)
  • 1. Introduction to Regular Expressions.srt (6.1 KB)
  • 1. Introduction to Regular Expressions.vtt (5.4 KB)
  • 2. Finding Patterns in Text Part 1.mp4 (79.5 MB)
  • 2. Finding Patterns in Text Part 1.srt (10.9 KB)
  • 2. Finding Patterns in Text Part 1.vtt (9.5 KB)
  • 3. Finding Patterns in Text Part 2.mp4 (81.5 MB)
  • 3. Finding Patterns in Text Part 2.srt (9.9 KB)
  • 3. Finding Patterns in Text Part 2.vtt (8.6 KB)
  • 4. Substituting Patterns in Text.mp4 (54.2 MB)
  • 4. Substituting Patterns in Text.srt (8.1 KB)
  • 4. Substituting Patterns in Text.vtt (7.0 KB)
  • 5. Shorthand Character Classes.mp4 (182.4 MB)
  • 5. Shorthand Character Classes.srt (17.3 KB)
  • 5. Shorthand Character Classes.vtt (15.0 KB)
  • 6. Character Ranges - Text.html (1.2 KB)
  • 7. Preprocessing using Regex.mp4 (71.6 MB)
  • 7. Preprocessing using Regex.srt (8.0 KB)
  • 7. Preprocessing using Regex.vtt (6.9 KB)
  • 8. Test Your Skills.html (0.2 KB)
5. Numpy and Pandas
  • 1. Introduction to Numpy.mp4 (280.7 MB)
  • 1. Introduction to Numpy.srt (27.1 KB)
  • 1. Introduction to Numpy.vtt (23.5 KB)
  • 2. Introduction to Pandas.mp4 (251.6 MB)
  • 2. Introduction to Pandas.srt (28.6 KB)
  • 2. Introduction to Pandas.vtt (24.7 KB)
6. NLP Core
  • 10. Named Entity Recognition.mp4 (56.1 MB)
  • 10. Named Entity Recognition.srt (6.8 KB)
  • 10. Named Entity Recognition.vtt (6.0 KB)
  • 11. Text Modelling using Bag of Words Model.mp4 (146.1 MB)
  • 11. Text Modelling using Bag of Words Model.srt (14.7 KB)
  • 11. Text Modelling using Bag of Words Model.vtt (12.8 KB)
  • 12. Building the BOW Model Part 1.mp4 (88.6 MB)
  • 12. Building the BOW Model Part 1.srt (5.4 KB)
  • 12. Building the BOW Model Part 1.vtt (4.8 KB)

  • Description

    [UDEMY] HANDS ON NATURAL LANGUAGE PROCESSING (NLP) USING PYTHON [FTU]

    Learn Natural Language Processing ( NLP ) & Text Mining by creating text classifier, article summarizer, and many more.
    Best Seller
    Created by Next Edge Coding
    Last updated 7/2018
    English
    What Will I Learn?
    Understand the various concepts of natural language processing along with their implementation
    Build natural language processing based applications
    Learn about the different modules available in Python for NLP
    Create personal spam filter or sentiment predictor
    Create personal text summarizer

    For More Udemy Free Courses >>> http://www.freetutorials.us
    For more Lynda and other Courses >>> https://www.freecoursesonline.me/



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seeders:40
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[UDEMY] HANDS ON NATURAL LANGUAGE PROCESSING (NLP) USING PYTHON [FTU]

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Download torrent
8 GB
seeders:40
leechers:34
[UDEMY] HANDS ON NATURAL LANGUAGE PROCESSING (NLP) USING PYTHON [FTU]

Torrent hash: C753A6B6C8C6432BB14495C5275EB2495172BD5D