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Udemy - Text Mining and Natural Language Processing in Python

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Added 4 years ago by freecoursewb in Other
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Udemy - Text Mining and Natural Language Processing in Python (Size: 607.7 MB)
  1. Bag of Words Model.mp4 23 MB
  1. Convolutional Neural Networks for Classification.mp4 27.4 MB
  1. Install Jupyter Notebook.mp4 28.7 MB
  1. NLTK and spaCy.mp4 20.2 MB
  1. Natural Language.mp4 25.4 MB
  1. Python Modules.mp4 16.3 MB
  2. Bag of N-Grams Model.mp4 15.1 MB
  2. Dataset.mp4 15.2 MB
  2. Module Management in Jupyter Notebook.mp4 23.1 MB
  2. Natural Language Processing and Applications.mp4 20.6 MB
  2. Tokenization.mp4 9.4 MB
  3. Bag of N-Grams Model in Python.mp4 34.5 MB
  3. Text Preprocessing.mp4 22.9 MB
  3. Tokenization in Python.mp4 19.2 MB
  4. Text Cleaning & Case Conversions.mp4 15.3 MB
  4. Tokenizing.mp4 9.5 MB
  4. Word2Vec.mp4 19 MB
  5. Preparing Batches.mp4 25.7 MB
  5. Text Cleaning & Case Conversions in Python.mp4 36 MB
  5. Word2Vec in Python.mp4 25.4 MB
  6. BERT Embeddings.mp4 24.6 MB
  6. Explaining the Model.mp4 40.1 MB
  6. Stemming & Lemmatization.mp4 20.2 MB
  7. BERT Embeddings in Python.mp4 37.8 MB
  7. Stemming & Lemmatization in Python.mp4 13.4 MB
  7. Test the Model.mp4 10.9 MB
  8. Stopwords.mp4 7.2 MB
  9. Stopwords in Python.mp4 21.7 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 30 total files

Description


Text Mining and Natural Language Processing in Python
https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 28 lectures (1h 48m) | Size: 407.4 MB

Learn the basics of Natural Language Processing in Python and build your own Deep Learning Sentiment Analysis!

What you'll learn
Students will be able to install Jupyter Notebook and manage Python Modules
Definition of Natural Language and its Applications
Get to know Basics of Natural Language Processing
Learn Basics of Text Processing with NLTK and spaCy
Get to know Traditional Feature Engineering Models
Implement a working Sentiment Analysis Model
Learn to Code all these points in Python

Requirements
Prior Experience in Python
Prior Implementation of Machine Learning Models will be beneficial
Should have an Interest in Learning Practical Text Mining and Natural Language Processing (NLP)

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