Tutorialsplanet NET Udemy Natural Language Processing NLP in Python with Projects

Tutorialsplanet NET Udemy Natural Language Processing NLP in Python with Projects

Name	[Tutorialsplanet.NET] Udemy - Natural Language Processing (NLP) in Python with 8 Projects	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	5.1 GB
Total Files	196
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Hash	E2D3CFC417710B4DEF6154EC3C646C2D048BBAFB

/01 - Welcome/
001 Course Overview.mp4	37.2 MB
01 - Welcome/
001 Course Overview_en.vtt	4.1 KB
002 Reviews UPDATE.mp4	5.6 MB
002 Reviews UPDATE_en.vtt	1.7 KB
003 Introduction to NLP.mp4	140.0 MB
003 Introduction to NLP_en.vtt	7.6 KB
004 Course FAQs.html	1.6 KB
02 - Installation & Setup/
001 Course Installation.mp4	85.0 MB
001 Course Installation_en.vtt	12.5 KB
002 Local Installation Steps.html	0.9 KB
003 Links to Notebooks (As taught in Lectures).html	3.3 KB
004 Links to Notebooks (More explanatory notebook for refrence).html	3.5 KB
24056952-requirements.txt	0.0 KB
external-assets-links.txt	0.1 KB
03 - Basics of Natural Language Processing/
001 Section _ Introduction.mp4	51.4 MB
001 Section _ Introduction_en.vtt	2.8 KB
002 Tokenization Basic Part - 1.mp4	76.6 MB
002 Tokenization Basic Part - 1_en.vtt	10.0 KB
003 Tokenization Basic Part - 2.mp4	52.8 MB
003 Tokenization Basic Part - 2_en.vtt	8.6 KB
004 Tokenization Basic Part - 3.mp4	13.4 MB
004 Tokenization Basic Part - 3_en.vtt	3.3 KB
005 Stemming & Lemmatization - 1.mp4	28.1 MB
005 Stemming & Lemmatization - 1_en.vtt	6.7 KB
006 Stemming & Lemmatization - 2.mp4	24.6 MB
006 Stemming & Lemmatization - 2_en.vtt	5.1 KB
007 Stop Words.mp4	34.3 MB
007 Stop Words_en.vtt	6.9 KB
008 Vocabulary and Matching Part - 1.mp4	88.5 MB
008 Vocabulary and Matching Part - 1_en.vtt	9.9 KB
009 Vocabulary and Matching Part - 2 (Rule Based).mp4	76.4 MB
009 Vocabulary and Matching Part - 2 (Rule Based)_en.vtt	9.0 KB
010 Vocabulary and Matching Part - 3 (Phrase Based).mp4	34.7 MB
010 Vocabulary and Matching Part - 3 (Phrase Based)_en.vtt	4.1 KB
011 Parts of Speech Tagging.mp4	58.4 MB
011 Parts of Speech Tagging_en.vtt	8.2 KB
012 Named Entity Recognition.mp4	86.9 MB
012 Named Entity Recognition_en.vtt	13.2 KB
013 Sentence Segmentation.mp4	55.5 MB
013 Sentence Segmentation_en.vtt	9.2 KB
external-assets-links.txt	0.2 KB
04 - Project 1 _ Spam Message Classification/
001 Business Problem & Dataset.mp4	44.7 MB
001 Business Problem & Dataset_en.vtt	8.2 KB
002 Data Exploration & Preprocessing.mp4	52.7 MB
002 Data Exploration & Preprocessing_en.vtt	9.8 KB
003 Split Data in Training & Testing.mp4	42.2 MB
003 Split Data in Training & Testing_en.vtt	7.0 KB
004 Apply Random Forest.mp4	67.0 MB
004 Apply Random Forest_en.vtt	12.3 KB
005 Apply Support vector Machine (SVM).mp4	35.4 MB
005 Apply Support vector Machine (SVM)_en.vtt	5.0 KB
006 Predict Testing Data both model.mp4	17.0 MB
006 Predict Testing Data both model_en.vtt	3.8 KB
25152746-spam.tsv	513.9 KB
external-assets-links.txt	0.1 KB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/
001 Business Problem.mp4	27.0 MB
001 Business Problem_en.vtt	4.6 KB
002 Cleaning Text Data with NLTK - 1.mp4	52.0 MB
002 Cleaning Text Data with NLTK - 1_en.vtt	9.2 KB
003 Cleaning Text Data with NLTK - 2.mp4	53.8 MB
003 Cleaning Text Data with NLTK - 2_en.vtt	7.0 KB
004 Bag of Word Model.mp4	73.4 MB
004 Bag of Word Model_en.vtt	10.7 KB
005 Apply Naive Bayes Algorithm.mp4	30.2 MB
005 Apply Naive Bayes Algorithm_en.vtt	4.8 KB
25152756-Restaurant-Reviews.tsv	61.3 KB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/
001 Review Classification Part -1.mp4	83.3 MB
001 Review Classification Part -1_en.vtt	11.1 KB
002 Review Classification Part - 2.mp4	75.9 MB
002 Review Classification Part - 2_en.vtt	9.5 KB
25152800-amazon-cells-labelled.txt	58.2 KB
25152804-imdb-labelled.txt	85.3 KB
25152808-yelp-labelled.txt	61.3 KB
07 - Project 4 _ Automated Text Summarization/
001 Importing the libraries and Dataset.mp4	64.1 MB
001 Importing the libraries and Dataset_en.vtt	7.8 KB
002 Create Word Frequency Counter.mp4	44.5 MB
002 Create Word Frequency Counter_en.vtt	7.6 KB
003 Calculate Sentence Score.mp4	60.1 MB
003 Calculate Sentence Score_en.vtt	6.7 KB
004 Extract summary of document.mp4	28.5 MB
004 Extract summary of document_en.vtt	3.8 KB
08 - Project 5 _ Twitter sentiment Analysis/
001 Setting up Twitter Developer application.mp4	51.7 MB
001 Setting up Twitter Developer application_en.vtt	7.8 KB
002 Fetch Tweet from Tweeter server.mp4	32.5 MB
002 Fetch Tweet from Tweeter server_en.vtt	4.1 KB
003 Find Setiment from Tweets.mp4	77.8 MB
003 Find Setiment from Tweets_en.vtt	10.4 KB
09 - Deep Learning Basics/
001 The Neuron.mp4	107.0 MB
001 The Neuron_en.vtt	6.1 KB
002 Activation Function.mp4	164.3 MB
002 Activation Function_en.vtt	8.6 KB
003 Cost Function.mp4	54.3 MB
003 Cost Function_en.vtt	2.8 KB
004 Gradient Descent and Back-Propagation.mp4	78.4 MB
004 Gradient Descent and Back-Propagation_en.vtt	4.0 KB
10 - Word Embeddings/
001 Introduction to Word Embedding.mp4	153.5 MB
001 Introduction to Word Embedding_en.vtt	12.0 KB
002 Train Model for Embedding - I.mp4	74.9 MB
002 Train Model for Embedding - I_en.vtt	9.5 KB
003 Train Model for Embedding - II.mp4	52.9 MB
003 Train Model for Embedding - II_en.vtt	6.7 KB
004 Embeddings with Pretrained model.mp4	66.8 MB
004 Embeddings with Pretrained model_en.vtt	7.1 KB
[Tutorialsplanet.NET].url	0.1 KB
11 - Project 6 _ Text Classification with CNN/
001 Convolutional Neural Network Part 1.mp4	101.0 MB
001 Convolutional Neural Network Part 1_en.vtt	5.0 KB
002 Convolutional Neural Network Part 2.mp4	85.1 MB
002 Convolutional Neural Network Part 2_en.vtt	4.5 KB
003 Spam Detection with CNN - I.mp4	95.9 MB
003 Spam Detection with CNN - I_en.vtt	10.6 KB
004 Spam Detection with CNN - II.mp4	81.8 MB
004 Spam Detection with CNN - II_en.vtt	9.8 KB
25153370-spam.csv	503.7 KB
12 - Project 7 _ Text Classification with RNN/
001 Introduction to Recurrent Neural Networks.mp4	41.5 MB
001 Introduction to Recurrent Neural Networks_en.vtt	2.1 KB
002 Vanishing Gradient Problem.mp4	40.8 MB
002 Vanishing Gradient Problem_en.vtt	2.1 KB
003 LSTM and GRU.mp4	62.8 MB
003 LSTM and GRU_en.vtt	3.8 KB
004 Spam Detection with RNN.mp4	67.5 MB
004 Spam Detection with RNN_en.vtt	6.9 KB
25153382-spam.csv	503.7 KB
13 - Project 8 _ Automatic Text Generation using TensorFlow, Keras and LSTM/
001 Text Generation Part I.mp4	119.8 MB
001 Text Generation Part I_en.vtt	12.9 KB
002 Text Generation Part II.mp4	49.5 MB
002 Text Generation Part II_en.vtt	6.5 KB
14 - FastText Library for Text Classification/
001 fasttext Installation steps [Video].mp4	8.5 MB
001 fasttext Installation steps [Video]_en.vtt	2.2 KB
002 fasttext Installation steps [Text].html	0.5 KB
003 Virtual Box Installation.mp4	33.7 MB
003 Virtual Box Installation_en.vtt	6.0 KB
004 Create Linux Virtual Machine.mp4	48.6 MB
004 Create Linux Virtual Machine_en.vtt	8.9 KB
005 Install fasttext library.mp4	45.2 MB
005 Install fasttext library_en.vtt	6.0 KB
006 Text Classification with Fasttext.mp4	111.5 MB
006 Text Classification with Fasttext_en.vtt	16.1 KB
27130276-reviews.txt	71.8 KB
15 - Data analysis with Numpy/
001 Introduction to NumPy.mp4	17.1 MB
001 Introduction to NumPy_en.vtt	0.9 KB
002 Numpy Arrays Part 1.mp4	17.6 MB
002 Numpy Arrays Part 1_en.vtt	3.3 KB
003 Numpy Arrays Part 2.mp4	56.6 MB
003 Numpy Arrays Part 2_en.vtt	9.2 KB
004 Numpy Arrays Part 3.mp4	28.6 MB
004 Numpy Arrays Part 3_en.vtt	4.3 KB
005 Numpy Indexing and Selection Part 1.mp4	47.3 MB
005 Numpy Indexing and Selection Part 1_en.vtt	7.0 KB
006 Numpy Indexing and Selection Part 2.mp4	27.9 MB
006 Numpy Indexing and Selection Part 2_en.vtt	4.3 KB
007 Numpy Operations.mp4	30.7 MB
007 Numpy Operations_en.vtt	3.5 KB
16 - Data analysis with Pandas/
001 Pandas Introduction.mp4	13.1 MB
001 Pandas Introduction_en.vtt	0.7 KB
002 Pandas Series.mp4	73.4 MB
002 Pandas Series_en.vtt	10.3 KB
003 DataFrames Part 1.mp4	81.8 MB
003 DataFrames Part 1_en.vtt	11.3 KB
004 DataFrames Part 2.mp4	58.0 MB
004 DataFrames Part 2_en.vtt	9.7 KB
005 DataFrames Part 3.mp4	59.2 MB
005 DataFrames Part 3_en.vtt	9.1 KB
006 Missing Data.mp4	37.0 MB
006 Missing Data_en.vtt	6.4 KB
007 Groupby Method.mp4	51.5 MB
007 Groupby Method_en.vtt	7.3 KB
008 Merging, Joining and Concatenating DataFrames.mp4	60.0 MB
008 Merging, Joining and Concatenating DataFrames_en.vtt	7.8 KB
009 Pandas Operations.mp4	40.7 MB
009 Pandas Operations_en.vtt	7.4 KB
010 Reading and Writing Files in Pandas.mp4	48.7 MB
010 Reading and Writing Files in Pandas_en.vtt	7.3 KB
17 - Data Visualization with Matplotlib/
001 Matplotlib Part 1 - Functional Method.mp4	95.0 MB
001 Matplotlib Part 1 - Functional Method_en.vtt	10.1 KB
002 Matplotlib Part 1 - Object Oriented Method.mp4	46.1 MB
002 Matplotlib Part 1 - Object Oriented Method_en.vtt	6.0 KB
003 Matplotlib Part 2 - Subplots Method.mp4	39.6 MB
003 Matplotlib Part 2 - Subplots Method_en.vtt	5.0 KB
004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI.mp4	56.6 MB
004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI_en.vtt	6.9 KB
005 Matplotlib Part 3.mp4	52.5 MB
005 Matplotlib Part 3_en.vtt	4.9 KB
006 Matplotlib Part 4.mp4	95.6 MB
006 Matplotlib Part 4_en.vtt	8.8 KB
18 - Appendix/
001 Text File Processing - I.mp4	41.6 MB
001 Text File Processing - I_en.vtt	7.9 KB
002 Text File Processing - II.mp4	60.8 MB
002 Text File Processing - II_en.vtt	8.4 KB
003 Text File Processing - III.mp4	57.4 MB
003 Text File Processing - III_en.vtt	11.4 KB
004 Text File Processing - IV.mp4	16.2 MB
004 Text File Processing - IV_en.vtt	3.5 KB
005 Working with PDF File - I.mp4	47.8 MB
005 Working with PDF File - I_en.vtt	8.5 KB
25154140-sample.pdf	3.0 KB

[Tutorialsplanet.NET].url	0.1 KB
Total files 196