Torrent Info
Title Natural Language Processing (NLP) in Python
Category
Size 6.11GB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 26B
001 [Slides] - Basic Text Processing.en.srt 10.47KB
001 [Slides] - Basic Text Processing.mp4 91.54MB
001 [Slides] - NLTK Intro and Tokenizers.en.srt 8.21KB
001 [Slides] - NLTK Intro and Tokenizers.mp4 77.37MB
001 [Slides] - Python Data Types and Libraries.en.srt 11.54KB
001 [Slides] - Python Data Types and Libraries.mp4 90.28MB
001 [Slides] - Setting up the Environment.en.srt 17.55KB
001 [Slides] - Setting up the Environment.mp4 124.25MB
001 Binary Vectorizer.en.srt 24.87KB
001 Binary Vectorizer.mp4 134.48MB
001 Continuous Bag of Words Model (CBOW) Introduction.en.srt 12.81KB
001 Continuous Bag of Words Model (CBOW) Introduction.mp4 69.80MB
001 Introduction.en.srt 10.53KB
001 Introduction.mp4 108.71MB
001 Introduction to Word Vectors.en.srt 3.31KB
001 Introduction to Word Vectors.mp4 9.61MB
001 Intro to Text Classification.en.srt 5.03KB
001 Intro to Text Classification.mp4 14.40MB
001 Read Data from a CSV File - Using Pandas.en.srt 13.89KB
001 Read Data from a CSV File - Using Pandas.mp4 69.19MB
001 Thank you!.en.srt 1.29KB
001 Thank you!.mp4 13.80MB
002 [Slides] - Objects and Control Flow.en.srt 13.37KB
002 [Slides] - Objects and Control Flow.mp4 102.77MB
002 [Slides] - Text Normalization Techniques.en.srt 5.61KB
002 [Slides] - Text Normalization Techniques.mp4 49.69MB
002 Binary Word Vectors.en.srt 10.42KB
002 Binary Word Vectors.mp4 56.56MB
002 CBOW - Creating Vocab and Binary Word Arrays.en.srt 10.53KB
002 CBOW - Creating Vocab and Binary Word Arrays.mp4 56.57MB
002 Count Vectorizer.en.srt 5.87KB
002 Count Vectorizer.mp4 32.40MB
002 Course Materials and Speed Up.html 1.28KB
002 Installing the Anaconda Distribution.en.srt 13.51KB
002 Installing the Anaconda Distribution.mp4 71.48MB
002 Loading Positive and Negative Movie Reviews.en.srt 10.68KB
002 Loading Positive and Negative Movie Reviews.mp4 63.82MB
002 Manipulating Text Objects.en.srt 16.30KB
002 Manipulating Text Objects.mp4 59.22MB
002 Read Data from a CSV File - Using Python CSV.en.srt 6.74KB
002 Read Data from a CSV File - Using Python CSV.mp4 38.01MB
003 [Slides] - Functions, Pandas and Numpy.en.srt 5.70KB
003 [Slides] - Functions, Pandas and Numpy.mp4 42.58MB
003 [Slides] - Part-of-Speech Tag and N-Grams.en.srt 19.41KB
003 [Slides] - Part-of-Speech Tag and N-Grams.mp4 156.87MB
003 3 Alternatives to Setup your Environment.en.srt 3.27KB
003 3 Alternatives to Setup your Environment.mp4 14.83MB
003 CBOW - Building Features and Target Variable.en.srt 14.02KB
003 CBOW - Building Features and Target Variable.mp4 87.75MB
003 Combining Strings.en.srt 5.53KB
003 Combining Strings.mp4 19.57MB
003 Pre-Processing Text for Text Classification.en.srt 9.69KB
003 Pre-Processing Text for Text Classification.mp4 61.84MB
003 Read Data from a TXT File.en.srt 8.31KB
003 Read Data from a TXT File.mp4 46.73MB
003 TF-IDF.en.srt 14.36KB
003 TF-IDF.mp4 79.11MB
003 Word Co-Occurence Matrices.en.srt 11.54KB
003 Word Co-Occurence Matrices.mp4 71.65MB
004 [1] - Creating an Environment and Installing Libraries via Anaconda.en.srt 7.16KB
004 [1] - Creating an Environment and Installing Libraries via Anaconda.mp4 26.01MB
004 CBOW - Accuracy of Random Model and Training Process.en.srt 21.01KB
004 CBOW - Accuracy of Random Model and Training Process.mp4 105.71MB
004 Filling Co-Occurence Matrix.en.srt 13.43KB
004 Filling Co-Occurence Matrix.mp4 101.81MB
004 Iterating Strings and Format Method.en.srt 8.37KB
004 Iterating Strings and Format Method.mp4 39.17MB
004 Jupyter Notebook Overview.en.srt 8.77KB
004 Jupyter Notebook Overview.mp4 34.30MB
004 Log Ratio Intuition and Word Influence.en.srt 24.52KB
004 Log Ratio Intuition and Word Influence.mp4 130.01MB
004 Natural Language Toolkit Introduction and Sentence Tokenizer.en.srt 13.89KB
004 Natural Language Toolkit Introduction and Sentence Tokenizer.mp4 91.42MB
004 Scraping a Web Page using Requests and BeautifulSoup - Wikipedia Example.en.srt 18.74KB
004 Scraping a Web Page using Requests and BeautifulSoup - Wikipedia Example.mp4 153.67MB
004 Text Representation - Exercises.en.srt 1.28KB
004 Text Representation - Exercises.mp4 7.67MB
005 [2] - Creating an Environment by Importing the YML File.en.srt 3.90KB
005 [2] - Creating an Environment by Importing the YML File.mp4 14.20MB
005 CBOW - Training the Neural Network.en.srt 19.76KB
005 CBOW - Training the Neural Network.mp4 108.99MB
005 Python Integers, Floats and Strings.en.srt 10.64KB
005 Python Integers, Floats and Strings.mp4 41.50MB
005 Scraping a Web Page using Requests and BeautifulSoup - Yahoo Finance Example.en.srt 22.42KB
005 Scraping a Web Page using Requests and BeautifulSoup - Yahoo Finance Example.mp4 162.84MB
005 Stemming and Vectorizing the Reviews.en.srt 18.70KB
005 Stemming and Vectorizing the Reviews.mp4 106.69MB
005 Testing if String is in Sentence.en.srt 3.58KB
005 Testing if String is in Sentence.mp4 13.56MB
005 Visualizing Word Vectors.en.srt 11.08KB
005 Visualizing Word Vectors.mp4 65.66MB
005 Word Tokenizer.en.srt 12.58KB
005 Word Tokenizer.mp4 52.99MB
006 CBOW - Obtaining Word Vectors (Embeddings).en.srt 9.77KB
006 CBOW - Obtaining Word Vectors (Embeddings).mp4 56.18MB
006 Escaping Characters.en.srt 9.78KB
006 Escaping Characters.mp4 36.04MB
006 Launching a Jupyter Notebook via Anaconda Navigator.en.srt 6.70KB
006 Launching a Jupyter Notebook via Anaconda Navigator.mp4 27.74MB
006 Logistic Regression Intuition and Training Process.en.srt 9.81KB
006 Logistic Regression Intuition and Training Process.mp4 39.41MB
006 Python Libraries.en.srt 5.88KB
006 Python Libraries.mp4 27.30MB
006 Scraping a Web Page - Errors in Request.en.srt 5.13KB
006 Scraping a Web Page - Errors in Request.mp4 32.47MB
006 Similarity between Words - Cosine.en.srt 15.09KB
006 Similarity between Words - Cosine.mp4 70.88MB
006 Tokenizer Application and Cleaning Tokens.en.srt 14.42KB
006 Tokenizer Application and Cleaning Tokens.mp4 60.15MB
007 [3] - Creating an Environment via Conda.en.srt 6.03KB
007 [3] - Creating an Environment via Conda.mp4 39.37MB
007 Counting Frequency of Digits in Sentence.en.srt 20.36KB
007 Counting Frequency of Digits in Sentence.mp4 105.33MB
007 Pre-Processing Wikipedia Data for CBOW Model.en.srt 11.56KB
007 Pre-Processing Wikipedia Data for CBOW Model.mp4 52.97MB
007 Python Lists and Sets.en.srt 7.31KB
007 Python Lists and Sets.mp4 30.23MB
007 Scraping a Web Page using Specific Libraries.en.srt 4.81KB
007 Scraping a Web Page using Specific Libraries.mp4 36.62MB
007 Sentence Length, Conversions and Casing Methods.en.srt 7.93KB
007 Sentence Length, Conversions and Casing Methods.mp4 29.67MB
007 Sigmoid Function and One Feature Prediction.en.srt 10.33KB
007 Sigmoid Function and One Feature Prediction.mp4 65.49MB
007 Word Similarities from Co-Occurence Matrix.en.srt 10.16KB
007 Word Similarities from Co-Occurence Matrix.mp4 57.46MB
008 Building Features and Target for Wikipedia Data.en.srt 16.24KB
008 Building Features and Target for Wikipedia Data.mp4 92.24MB
008 FreqDist NLTK Function.en.srt 8.73KB
008 FreqDist NLTK Function.mp4 41.49MB
008 Gradient Descent Intuition by Adjusting Weights.en.srt 13.62KB
008 Gradient Descent Intuition by Adjusting Weights.mp4 76.67MB
008 Installing Libraries via Conda.en.srt 3.93KB
008 Installing Libraries via Conda.mp4 15.02MB
008 Is Alpha, Strip and Split.en.srt 7.85KB
008 Is Alpha, Strip and Split.mp4 31.34MB
008 Python Dictionaries and Tuples.en.srt 5.39KB
008 Python Dictionaries and Tuples.mp4 22.52MB
008 Reading Text Data - Exercises.en.srt 1.93KB
008 Reading Text Data - Exercises.mp4 10.03MB
008 Word Vectors - Exercises.en.srt 968B
008 Word Vectors - Exercises.mp4 6.67MB
009 Fitting Neural Network on Wikipedia Data.en.srt 11.39KB
009 Fitting Neural Network on Wikipedia Data.mp4 42.77MB
009 Join and Capitalize.en.srt 4.01KB
009 Join and Capitalize.mp4 16.00MB
009 Launching a Jupyter Notebook via Conda.en.srt 4.04KB
009 Launching a Jupyter Notebook via Conda.mp4 22.08MB
009 Porter, Snowball and Lancaster Stemmers.en.srt 17.89KB
009 Porter, Snowball and Lancaster Stemmers.mp4 99.22MB
009 Python Control Flow.en.srt 17.14KB
009 Python Control Flow.mp4 71.94MB
009 Train and Test Split.en.srt 6.31KB
009 Train and Test Split.mp4 27.73MB
010 Fitting and Evaluating Model.en.srt 6.35KB
010 Fitting and Evaluating Model.mp4 32.52MB
010 Performance of the Neural Network.en.srt 8.77KB
010 Performance of the Neural Network.mp4 50.36MB
010 Python Functions.en.srt 9.97KB
010 Python Functions.mp4 40.17MB
010 Replace, Count and Find.en.srt 8.46KB
010 Replace, Count and Find.mp4 35.41MB
010 Stemming Sentences.en.srt 11.83KB
010 Stemming Sentences.mp4 70.04MB
010 Testing if your environment is OK.en.srt 10.99KB
010 Testing if your environment is OK.mp4 38.11MB
011 Model Regularization.en.srt 4.06KB
011 Model Regularization.mp4 23.93MB
011 Numpy Overview.en.srt 9.51KB
011 Numpy Overview.mp4 34.99MB
011 Predicting a Word Given a Context.en.srt 9.61KB
011 Predicting a Word Given a Context.mp4 52.07MB
011 Summary on Environment Setup.en.srt 4.73KB
011 Summary on Environment Setup.mp4 14.01MB
011 WordNet Lemmatizer.en.srt 12.54KB
011 WordNet Lemmatizer.mp4 55.42MB
011 Working with Text - Exercises.en.srt 1.12KB
011 Working with Text - Exercises.mp4 7.34MB
012 Obtaining the Weights_Coefficients of Regression.en.srt 6.72KB
012 Obtaining the Weights_Coefficients of Regression.mp4 29.20MB
012 Pandas Overview.en.srt 8.57KB
012 Pandas Overview.mp4 32.71MB
012 Part-of-Speech (POS) Tagging.en.srt 16.54KB
012 Part-of-Speech (POS) Tagging.mp4 83.59MB
012 Retrieving Word Embeddings and Word Similarities.en.srt 18.64KB
012 Retrieving Word Embeddings and Word Similarities.mp4 104.70MB
013 Predicting New Sentences Sentiment.en.srt 15.11KB
013 Predicting New Sentences Sentiment.mp4 93.93MB
013 Training a POS Tagger from Scratch - Accessing Tagged Data from Brown Corpus.en.srt 12.98KB
013 Training a POS Tagger from Scratch - Accessing Tagged Data from Brown Corpus.mp4 68.33MB
013 Tutorial - How to Complete the Exercises.en.srt 7.16KB
013 Tutorial - How to Complete the Exercises.mp4 39.38MB
013 Word2Vec.en.srt 20.03KB
013 Word2Vec.mp4 92.70MB
014 Python Quick Course - Exercises.en.srt 2.56KB
014 Python Quick Course - Exercises.mp4 11.16MB
014 Training a POS Tagger from Scratch - Unigram Tagger.en.srt 16.47KB
014 Training a POS Tagger from Scratch - Unigram Tagger.mp4 80.23MB
014 Word2Vec - Operations with Vectors.en.srt 12.39KB
014 Word2Vec - Operations with Vectors.mp4 73.27MB
015 Training a POS Tagger from Scratch - Bigram Tagger.en.srt 17.12KB
015 Training a POS Tagger from Scratch - Bigram Tagger.mp4 90.50MB
015 Word2Vec - Word Clustering.en.srt 17.73KB
015 Word2Vec - Word Clustering.mp4 84.24MB
016 Continuous Bag of Words Implementation - Exercises.en.srt 2.04KB
016 Continuous Bag of Words Implementation - Exercises.mp4 9.55MB
016 Plotting the Frequency of Tags in a Sentence.en.srt 9.88KB
016 Plotting the Frequency of Tags in a Sentence.mp4 59.88MB
017 Lemmatization and POS Tagging.en.srt 16.90KB
017 Lemmatization and POS Tagging.mp4 100.40MB
018 Stop Words.en.srt 24.51KB
018 Stop Words.mp4 115.82MB
019 N-Grams.en.srt 10.70KB
019 N-Grams.mp4 54.13MB
020 Natural Language Toolkit - Exercises.en.srt 1.36KB
020 Natural Language Toolkit - Exercises.mp4 6.98MB
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external-assets-links.txt 229B
external-assets-links.txt 376B
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external-assets-links.txt 94B
TutsNode.com.txt 63B
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