[Tutorialsplanet.NET] Udemy - Natural Language Processing (NLP) in Python with 8 Projects

[Tutorialsplanet.NET] Udemy - Natural Language Processing (NLP) in Python with 8 Projects

Size
4.7 GB
Seeders
1
Leechers
0
Files
99
Category
Added
03/25/22 at 5:54pm GMT+1
Infohash
e2d3cfc417710b4def6154ec3c646c2d048bbafb

Description
Udemy - Natural Language Processing (NLP) in Python with 8 Projects [TP]

Work on 8 Projects, Learn Natural Language Processing Python, Machine Learning, Deep Learning, SpaCy, NLTK, Sklearn, CNN

What you'll learn

The Complete understanding of Natural Language Processing
Implement NLP related task with Scikit-learn, NLTK and SpaCy
Apply Machine Learning Model to Classify Text Data
Text Classification (Spam Detection, Amazon product Review Classification)
Text Summarization (Turn 5000 word article into 200 Words)
Calculate Sentiment Score from Recently Posted Tweet (Tweeter API)
Refresh your Deep Learning Concepts (ANN, CNN & RNN)
For more Udemy Courses: https://tutorialsplanet.net

File list
  • [Tutorialsplanet.NET] Udemy - Natural Language Processing (NLP) in Python with 8 Projects
  • 01 - Welcome/001 Course Overview.mp4 35.4 MB
  • 01 - Welcome/001 Course Overview_en.vtt 4 KB
  • 01 - Welcome/002 Reviews UPDATE.mp4 5.4 MB
  • 01 - Welcome/002 Reviews UPDATE_en.vtt 1.6 KB
  • 01 - Welcome/003 Introduction to NLP.mp4 133.5 MB
  • 01 - Welcome/003 Introduction to NLP_en.vtt 7.4 KB
  • 01 - Welcome/004 Course FAQs.html 1.6 KB
  • 02 - Installation & Setup/001 Course Installation.mp4 81.1 MB
  • 02 - Installation & Setup/001 Course Installation_en.vtt 12.2 KB
  • 02 - Installation & Setup/002 Local Installation Steps.html 860 B
  • 02 - Installation & Setup/003 Links to Notebooks (As taught in Lectures).html 3.3 KB
  • 02 - Installation & Setup/004 Links to Notebooks (More explanatory notebook for refrence).html 3.4 KB
  • 02 - Installation & Setup/24056952-requirements.txt 12 B
  • 02 - Installation & Setup/external-assets-links.txt 99 B
  • 03 - Basics of Natural Language Processing/001 Section _ Introduction.mp4 49 MB
  • 03 - Basics of Natural Language Processing/001 Section _ Introduction_en.vtt 2.8 KB
  • 03 - Basics of Natural Language Processing/002 Tokenization Basic Part - 1.mp4 73.1 MB
  • 03 - Basics of Natural Language Processing/002 Tokenization Basic Part - 1_en.vtt 9.8 KB
  • 03 - Basics of Natural Language Processing/003 Tokenization Basic Part - 2.mp4 50.3 MB
  • 03 - Basics of Natural Language Processing/003 Tokenization Basic Part - 2_en.vtt 8.4 KB
  • 03 - Basics of Natural Language Processing/004 Tokenization Basic Part - 3.mp4 12.7 MB
  • 03 - Basics of Natural Language Processing/004 Tokenization Basic Part - 3_en.vtt 3.2 KB
  • 03 - Basics of Natural Language Processing/005 Stemming & Lemmatization - 1.mp4 26.8 MB
  • 03 - Basics of Natural Language Processing/005 Stemming & Lemmatization - 1_en.vtt 6.6 KB
  • 03 - Basics of Natural Language Processing/006 Stemming & Lemmatization - 2.mp4 23.5 MB
  • 03 - Basics of Natural Language Processing/006 Stemming & Lemmatization - 2_en.vtt 4.9 KB
  • 03 - Basics of Natural Language Processing/007 Stop Words.mp4 32.7 MB
  • 03 - Basics of Natural Language Processing/007 Stop Words_en.vtt 6.7 KB
  • 03 - Basics of Natural Language Processing/008 Vocabulary and Matching Part - 1.mp4 84.4 MB
  • 03 - Basics of Natural Language Processing/008 Vocabulary and Matching Part - 1_en.vtt 9.7 KB
  • 03 - Basics of Natural Language Processing/009 Vocabulary and Matching Part - 2 (Rule Based).mp4 72.8 MB
  • 03 - Basics of Natural Language Processing/009 Vocabulary and Matching Part - 2 (Rule Based)_en.vtt 8.8 KB
  • 03 - Basics of Natural Language Processing/010 Vocabulary and Matching Part - 3 (Phrase Based).mp4 33.1 MB
  • 03 - Basics of Natural Language Processing/010 Vocabulary and Matching Part - 3 (Phrase Based)_en.vtt 4 KB
  • 03 - Basics of Natural Language Processing/011 Parts of Speech Tagging.mp4 55.7 MB
  • 03 - Basics of Natural Language Processing/011 Parts of Speech Tagging_en.vtt 8 KB
  • 03 - Basics of Natural Language Processing/012 Named Entity Recognition.mp4 82.9 MB
  • 03 - Basics of Natural Language Processing/012 Named Entity Recognition_en.vtt 12.9 KB
  • 03 - Basics of Natural Language Processing/013 Sentence Segmentation.mp4 52.9 MB
  • 03 - Basics of Natural Language Processing/013 Sentence Segmentation_en.vtt 9 KB
  • 03 - Basics of Natural Language Processing/external-assets-links.txt 226 B
  • 04 - Project 1 _ Spam Message Classification/001 Business Problem & Dataset.mp4 42.6 MB
  • 04 - Project 1 _ Spam Message Classification/001 Business Problem & Dataset_en.vtt 8 KB
  • 04 - Project 1 _ Spam Message Classification/002 Data Exploration & Preprocessing.mp4 50.3 MB
  • 04 - Project 1 _ Spam Message Classification/002 Data Exploration & Preprocessing_en.vtt 9.5 KB
  • 04 - Project 1 _ Spam Message Classification/003 Split Data in Training & Testing.mp4 40.2 MB
  • 04 - Project 1 _ Spam Message Classification/003 Split Data in Training & Testing_en.vtt 6.8 KB
  • 04 - Project 1 _ Spam Message Classification/004 Apply Random Forest.mp4 63.9 MB
  • 04 - Project 1 _ Spam Message Classification/004 Apply Random Forest_en.vtt 12 KB
  • 04 - Project 1 _ Spam Message Classification/005 Apply Support vector Machine (SVM).mp4 33.8 MB
  • 04 - Project 1 _ Spam Message Classification/005 Apply Support vector Machine (SVM)_en.vtt 4.9 KB
  • 04 - Project 1 _ Spam Message Classification/006 Predict Testing Data both model.mp4 16.2 MB
  • 04 - Project 1 _ Spam Message Classification/006 Predict Testing Data both model_en.vtt 3.7 KB
  • 04 - Project 1 _ Spam Message Classification/25152746-spam.tsv 501.8 KB
  • 04 - Project 1 _ Spam Message Classification/external-assets-links.txt 134 B
  • 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/001 Business Problem.mp4 25.7 MB
  • 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/001 Business Problem_en.vtt 4.5 KB
  • 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/002 Cleaning Text Data with NLTK - 1.mp4 49.6 MB
  • 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/002 Cleaning Text Data with NLTK - 1_en.vtt 9 KB
  • 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/003 Cleaning Text Data with NLTK - 2.mp4 51.3 MB
  • 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/003 Cleaning Text Data with NLTK - 2_en.vtt 6.9 KB
  • 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/004 Bag of Word Model.mp4 70 MB
  • 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/004 Bag of Word Model_en.vtt 10.4 KB
  • 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/005 Apply Naive Bayes Algorithm.mp4 28.8 MB
  • 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/005 Apply Naive Bayes Algorithm_en.vtt 4.6 KB
  • 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/25152756-Restaurant-Reviews.tsv 59.9 KB
  • 06 - Project 3 _ IMDB, Amazon and Yelp review Classification/001 Review Classification Part -1.mp4 79.4 MB
  • 06 - Project 3 _ IMDB, Amazon and Yelp review Classification/001 Review Classification Part -1_en.vtt 10.9 KB
  • 06 - Project 3 _ IMDB, Amazon and Yelp review Classification/002 Review Classification Part - 2.mp4 72.4 MB
  • 06 - Project 3 _ IMDB, Amazon and Yelp review Classification/002 Review Classification Part - 2_en.vtt 9.2 KB
  • 06 - Project 3 _ IMDB, Amazon and Yelp review Classification/25152800-amazon-cells-labelled.txt 56.9 KB
  • 06 - Project 3 _ IMDB, Amazon and Yelp review Classification/25152804-imdb-labelled.txt 83.3 KB
  • 06 - Project 3 _ IMDB, Amazon and Yelp review Classification/25152808-yelp-labelled.txt 59.9 KB
  • 07 - Project 4 _ Automated Text Summarization/001 Importing the libraries and Dataset.mp4 61.1 MB
  • 07 - Project 4 _ Automated Text Summarization/001 Importing the libraries and Dataset_en.vtt 7.7 KB
  • 07 - Project 4 _ Automated Text Summarization/002 Create Word Frequency Counter.mp4 42.4 MB
  • 07 - Project 4 _ Automated Text Summarization/002 Create Word Frequency Counter_en.vtt 7.4 KB
  • 07 - Project 4 _ Automated Text Summarization/003 Calculate Sentence Score.mp4 57.3 MB
  • 07 - Project 4 _ Automated Text Summarization/003 Calculate Sentence Score_en.vtt 6.6 KB
  • 07 - Project 4 _ Automated Text Summarization/004 Extract summary of document.mp4 27.2 MB
  • 07 - Project 4 _ Automated Text Summarization/004 Extract summary of document_en.vtt 3.7 KB
  • 08 - Project 5 _ Twitter sentiment Analysis/001 Setting up Twitter Developer application.mp4 49.3 MB
  • 08 - Project 5 _ Twitter sentiment Analysis/001 Setting up Twitter Developer application_en.vtt 7.6 KB
  • 08 - Project 5 _ Twitter sentiment Analysis/002 Fetch Tweet from Tweeter server.mp4 31 MB
  • 08 - Project 5 _ Twitter sentiment Analysis/002 Fetch Tweet from Tweeter server_en.vtt 4 KB
  • 08 - Project 5 _ Twitter sentiment Analysis/003 Find Setiment from Tweets.mp4 74.2 MB
  • 08 - Project 5 _ Twitter sentiment Analysis/003 Find Setiment from Tweets_en.vtt 10.2 KB
  • 09 - Deep Learning Basics/001 The Neuron.mp4 102 MB
  • 09 - Deep Learning Basics/001 The Neuron_en.vtt 5.9 KB
  • 09 - Deep Learning Basics/002 Activation Function.mp4 156.7 MB
  • 09 - Deep Learning Basics/002 Activation Function_en.vtt 8.4 KB
  • 09 - Deep Learning Basics/003 Cost Function.mp4 51.8 MB
  • 09 - Deep Learning Basics/003 Cost Function_en.vtt 2.7 KB
  • 09 - Deep Learning Basics/004 Gradient Descent and Back-Propagation.mp4 74.8 MB
  • 09 - Deep Learning Basics/004 Gradient Descent and Back-Propagation_en.vtt 3.9 KB
  • 10 - Word Embeddings/001 Introduction to Word Embedding.mp4 146.4 MB
  • 10 - Word Embeddings/001 Introduction to Word Embedding_en.vtt 11.7 KB
  • 10 - Word Embeddings/002 Train Model for Embedding - I.mp4 71.4 MB
  • 10 - Word Embeddings/002 Train Model for Embedding - I_en.vtt 9.3 KB

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