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TORRENT DETAILS

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

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	e2d3cfc417710b4def6154ec3c646c2d048bbafb
Size:	4.7 GB in 99 files
Release Date(s):	Torrent Release: 25-03-2022 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

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

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FILE LIST

Filename		Size
	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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