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

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  • TypeTutorials
  • LanguageEnglish
  • Total size4.7 GB
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  • Last checkedMar. 29th '22
  • Date uploadedMar. 26th '22
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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

Files:

[Tutorialsplanet.NET] Udemy - Natural Language Processing (NLP) in Python with 8 Projects 01 - Welcome
  • 001 Course Overview.mp4 (35.4 MB)
  • 001 Course Overview_en.vtt (4.0 KB)
  • 002 Reviews UPDATE.mp4 (5.4 MB)
  • 002 Reviews UPDATE_en.vtt (1.6 KB)
  • 003 Introduction to NLP.mp4 (133.5 MB)
  • 003 Introduction to NLP_en.vtt (7.4 KB)
  • 004 Course FAQs.html (1.6 KB)
02 - Installation & Setup
  • 001 Course Installation.mp4 (81.1 MB)
  • 001 Course Installation_en.vtt (12.2 KB)
  • 002 Local Installation Steps.html (0.8 KB)
  • 003 Links to Notebooks (As taught in Lectures).html (3.3 KB)
  • 004 Links to Notebooks (More explanatory notebook for refrence).html (3.4 KB)
  • 24056952-requirements.txt (0.0 KB)
  • external-assets-links.txt (0.1 KB)
03 - Basics of Natural Language Processing
  • 001 Section _ Introduction.mp4 (49.0 MB)
  • 001 Section _ Introduction_en.vtt (2.8 KB)
  • 002 Tokenization Basic Part - 1.mp4 (73.1 MB)
  • 002 Tokenization Basic Part - 1_en.vtt (9.8 KB)
  • 003 Tokenization Basic Part - 2.mp4 (50.3 MB)
  • 003 Tokenization Basic Part - 2_en.vtt (8.4 KB)
  • 004 Tokenization Basic Part - 3.mp4 (12.7 MB)
  • 004 Tokenization Basic Part - 3_en.vtt (3.2 KB)
  • 005 Stemming & Lemmatization - 1.mp4 (26.8 MB)
  • 005 Stemming & Lemmatization - 1_en.vtt (6.6 KB)
  • 006 Stemming & Lemmatization - 2.mp4 (23.5 MB)
  • 006 Stemming & Lemmatization - 2_en.vtt (4.9 KB)
  • 007 Stop Words.mp4 (32.7 MB)
  • 007 Stop Words_en.vtt (6.7 KB)
  • 008 Vocabulary and Matching Part - 1.mp4 (84.4 MB)
  • 008 Vocabulary and Matching Part - 1_en.vtt (9.7 KB)
  • 009 Vocabulary and Matching Part - 2 (Rule Based).mp4 (72.8 MB)
  • 009 Vocabulary and Matching Part - 2 (Rule Based)_en.vtt (8.8 KB)
  • 010 Vocabulary and Matching Part - 3 (Phrase Based).mp4 (33.1 MB)
  • 010 Vocabulary and Matching Part - 3 (Phrase Based)_en.vtt (4.0 KB)
  • 011 Parts of Speech Tagging.mp4 (55.7 MB)
  • 011 Parts of Speech Tagging_en.vtt (8.0 KB)
  • 012 Named Entity Recognition.mp4 (82.9 MB)
  • 012 Named Entity Recognition_en.vtt (12.9 KB)
  • 013 Sentence Segmentation.mp4 (52.9 MB)
  • 013 Sentence Segmentation_en.vtt (9.0 KB)
  • external-assets-links.txt (0.2 KB)
04 - Project 1 _ Spam Message Classification
  • 001 Business Problem & Dataset.mp4 (42.6 MB)
  • 001 Business Problem & Dataset_en.vtt (8.0 KB)
  • 002 Data Exploration & Preprocessing.mp4 (50.3 MB)
  • 002 Data Exploration & Preprocessing_en.vtt (9.5 KB)
  • 003 Split Data in Training & Testing.mp4 (40.2 MB)
  • 003 Split Data in Training & Testing_en.vtt (6.8 KB)
  • 004 Apply Random Forest.mp4 (63.9 MB)
  • 004 Apply Random Forest_en.vtt (12.0 KB)
  • 005 Apply Support vector Machine (SVM).mp4 (33.8 MB)
  • 005 Apply Support vector Machine (SVM)_en.vtt (4.9 KB)
  • 006 Predict Testing Data both model.mp4 (16.2 MB)
  • 006 Predict Testing Data both model_en.vtt (3.7 KB)
  • 25152746-spam.tsv (501.8 KB)
  • external-assets-links.txt (0.1 KB)
05 - Project 2 _ Restaurant Review Prediction (Good or bad)
  • 001 Business Problem.mp4 (25.7 MB)
  • 001 Business Problem_en.vtt (4.5 KB)
  • 002 Cleaning Text Data with NLTK - 1.mp4 (49.6 MB)
  • 002 Cleaning Text Data with NLTK - 1_en.vtt (9.0 KB)
  • 003 Cleaning Text Data with NLTK - 2.mp4 (51.3 MB)
  • 003 Cleaning Text Data with NLTK - 2_en.vtt (6.9 KB)
  • 004 Bag of Word Model.mp4 (70.0 MB)
  • 004 Bag of Word Model_en.vtt (10.4 KB)
  • 005 Apply Naive Bayes Algorithm.mp4 (28.8 MB)
  • 005 Apply Naive Bayes Algorithm_en.vtt (4.6 KB)
  • 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)
  • 001 Review Classification Part -1_en.vtt (10.9 KB)
  • 002 Review Classification Part - 2.mp4 (72.4 MB)
  • 002 Review Classification Part - 2_en.vtt (9.2 KB)
  • 25152800-amazon-cells-labelled.txt (56.9 KB)
  • 25152804-imdb-labelled.txt (83.3 KB)
  • 25152808-yelp-labelled.txt (59.9 KB)
07 - Project 4 _ Automated Text Summarization
  • 001 Importing the libraries and Dataset.mp4 (61.1 MB)
  • 001 Importing the libraries and Dataset_en.vtt (7.7 KB)
  • 002 Create Word Frequency Counter.mp4 (42.4 MB)
  • 002 Create Word Frequency Counter_en.vtt (7.4 KB)
  • 003 Calculate Sentence Score.mp4 (57.3 MB)
  • 003 Calculate Sentence Score_en.vtt (6.6 KB)
  • 004 Extract summary of document.mp4 (27.2 MB)
  • 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)
  • 001 Setting up Twitter Developer application_en.vtt (7.6 KB)
  • 002 Fetch Tweet from Tweeter server.mp4 (31.0 MB)
  • 002 Fetch Tweet from Tweeter server_en.vtt (4.0 KB)
  • 003 Find Setiment from Tweets.mp4 (74.2 MB)
  • 003 Find Setiment from Tweets_en.vtt (10.2 KB)
09 - Deep Learning Basics
  • 001 The Neuron.mp4 (102.0 MB)
  • 001 The Neuron_en.vtt (5.9 KB)
  • 002 Activation Function.mp4 (156.7 MB)
  • 002 Activation Function_en.vtt (8.4 KB)
  • 003 Cost Function.mp4 (51.8 MB)
  • 003 Cost Function_en.vtt (2.7 KB)
  • 004 Gradient Descent and Back-Propagation.mp4 (74.8 MB)
  • 004 Gradient Descent and Back-Propagation_en.vtt (3.9 KB)
10 - Word Embeddings
  • 001 Introduction to Word Embedding.mp4 (146.4 MB)
  • 001 Introduction to Word Embedding_en.vtt (11.7 KB)
  • 002 Train Model for Embedding - I.mp4 (71.4 MB)
  • 002 Train Model for Embedding - I_en.vtt

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