Natural Language Processing (NLP) Fundamentals in Python

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Natural Language Processing (NLP) Fundamentals in Python

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Natural Language Processing (NLP) Fundamentals in Python
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001 Binary Vectorizer.en.srt
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001 Binary Vectorizer.mp4
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001 Continuous Bag of Words Model (CBOW) Introduction.en.srt
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001 Continuous Bag of Words Model (CBOW) Introduction.mp4
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001 Intro to Text Classification.en.srt
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001 Introduction to Word Vectors.en.srt
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001 Intro to Text Classification.mp4
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001 Introduction to Word Vectors.mp4
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001 Introduction.en.srt
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001 Introduction.mp4
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001 Read Data from a CSV File - Using Pandas.en.srt
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001 Read Data from a CSV File - Using Pandas.mp4
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001 Thank you!.en.srt
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001 Thank you!.mp4
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001 [Slides] - Basic Text Processing.en.srt
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001 [Slides] - Basic Text Processing.mp4
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001 [Slides] - NLTK Intro and Tokenizers.en.srt
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001 [Slides] - NLTK Intro and Tokenizers.mp4
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001 [Slides] - Python Data Types and Libraries.en.srt
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001 [Slides] - Python Data Types and Libraries.mp4
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001 [Slides] - Setting up the Environment.en.srt
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001 [Slides] - Setting up the Environment.mp4
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002 Binary Word Vectors.en.srt
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002 Binary Word Vectors.mp4
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002 CBOW - Creating Vocab and Binary Word Arrays.en.srt
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002 CBOW - Creating Vocab and Binary Word Arrays.mp4
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002 Count Vectorizer.en.srt
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002 Count Vectorizer.mp4
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002 Course Materials and Speed Up.html
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002 Installing the Anaconda Distribution.en.srt
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002 Installing the Anaconda Distribution.mp4
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002 Loading Positive and Negative Movie Reviews.en.srt
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002 Loading Positive and Negative Movie Reviews.mp4
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002 Manipulating Text Objects.en.srt
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002 Manipulating Text Objects.mp4
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002 Read Data from a CSV File - Using Python CSV.en.srt
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002 Read Data from a CSV File - Using Python CSV.mp4
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002 [Slides] - Objects and Control Flow.en.srt
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002 [Slides] - Objects and Control Flow.mp4
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002 [Slides] - Text Normalization Techniques.en.srt
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002 [Slides] - Text Normalization Techniques.mp4
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003 3 Alternatives to Setup your Environment.en.srt
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003 3 Alternatives to Setup your Environment.mp4
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003 CBOW - Building Features and Target Variable.en.srt
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003 CBOW - Building Features and Target Variable.mp4
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003 Combining Strings.en.srt
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003 Combining Strings.mp4
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003 Pre-Processing Text for Text Classification.en.srt
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003 Pre-Processing Text for Text Classification.mp4
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003 Read Data from a TXT File.en.srt
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003 Read Data from a TXT File.mp4
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003 TF-IDF.en.srt
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003 TF-IDF.mp4
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003 Word Co-Occurence Matrices.en.srt
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003 Word Co-Occurence Matrices.mp4
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003 [Slides] - Functions, Pandas and Numpy.en.srt
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003 [Slides] - Functions, Pandas and Numpy.mp4
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003 [Slides] - Part-of-Speech Tag and N-Grams.en.srt
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003 [Slides] - Part-of-Speech Tag and N-Grams.mp4
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004 CBOW - Accuracy of Random Model and Training Process.en.srt
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004 CBOW - Accuracy of Random Model and Training Process.mp4
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004 Filling Co-Occurence Matrix.en.srt
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004 Filling Co-Occurence Matrix.mp4
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004 Iterating Strings and Format Method.en.srt
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004 Iterating Strings and Format Method.mp4
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004 Jupyter Notebook Overview.en.srt
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004 Jupyter Notebook Overview.mp4
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004 Log Ratio Intuition and Word Influence.en.srt
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004 Log Ratio Intuition and Word Influence.mp4
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004 Natural Language Toolkit Introduction and Sentence Tokenizer.en.srt
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004 Natural Language Toolkit Introduction and Sentence Tokenizer.mp4
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004 Scraping a Web Page using Requests and BeautifulSoup - Wikipedia Example.en.srt
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004 Scraping a Web Page using Requests and BeautifulSoup - Wikipedia Example.mp4
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004 Text Representation - Exercises.en.srt
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004 Text Representation - Exercises.mp4
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004 [1] - Creating an Environment and Installing Libraries via Anaconda.en.srt
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004 [1] - Creating an Environment and Installing Libraries via Anaconda.mp4
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005 CBOW - Training the Neural Network.en.srt
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005 CBOW - Training the Neural Network.mp4
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005 Python Integers, Floats and Strings.en.srt
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005 Python Integers, Floats and Strings.mp4
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005 Scraping a Web Page using Requests and BeautifulSoup - Yahoo Finance Example.en.srt
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005 Scraping a Web Page using Requests and BeautifulSoup - Yahoo Finance Example.mp4
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005 Stemming and Vectorizing the Reviews.en.srt
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005 Stemming and Vectorizing the Reviews.mp4
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005 Testing if String is in Sentence.en.srt
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005 Testing if String is in Sentence.mp4
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005 Visualizing Word Vectors.en.srt
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005 Visualizing Word Vectors.mp4
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005 Word Tokenizer.en.srt
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005 Word Tokenizer.mp4
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005 [2] - Creating an Environment by Importing the YML File.en.srt
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005 [2] - Creating an Environment by Importing the YML File.mp4
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006 CBOW - Obtaining Word Vectors (Embeddings).en.srt
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006 CBOW - Obtaining Word Vectors (Embeddings).mp4
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006 Escaping Characters.en.srt
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006 Escaping Characters.mp4
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006 Launching a Jupyter Notebook via Anaconda Navigator.en.srt
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006 Launching a Jupyter Notebook via Anaconda Navigator.mp4
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006 Logistic Regression Intuition and Training Process.en.srt
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006 Logistic Regression Intuition and Training Process.mp4
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006 Python Libraries.en.srt
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006 Python Libraries.mp4
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006 Scraping a Web Page - Errors in Request.en.srt
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006 Scraping a Web Page - Errors in Request.mp4
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006 Similarity between Words - Cosine.en.srt
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006 Similarity between Words - Cosine.mp4
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006 Tokenizer Application and Cleaning Tokens.en.srt
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006 Tokenizer Application and Cleaning Tokens.mp4
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007 Pre-Processing Wikipedia Data for CBOW Model.en.srt
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007 Python Lists and Sets.en.srt
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007 Counting Frequency of Digits in Sentence.en.srt
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007 Counting Frequency of Digits in Sentence.mp4
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007 Pre-Processing Wikipedia Data for CBOW Model.mp4
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007 Python Lists and Sets.mp4
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007 Scraping a Web Page using Specific Libraries.en.srt
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007 Scraping a Web Page using Specific Libraries.mp4
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007 Sentence Length, Conversions and Casing Methods.en.srt
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007 Sentence Length, Conversions and Casing Methods.mp4
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007 Sigmoid Function and One Feature Prediction.en.srt
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007 Sigmoid Function and One Feature Prediction.mp4
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007 Word Similarities from Co-Occurence Matrix.en.srt
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007 Word Similarities from Co-Occurence Matrix.mp4
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007 [3] - Creating an Environment via Conda.en.srt
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007 [3] - Creating an Environment via Conda.mp4
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008 Building Features and Target for Wikipedia Data.en.srt
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008 Building Features and Target for Wikipedia Data.mp4
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008 FreqDist NLTK Function.en.srt
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008 FreqDist NLTK Function.mp4
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008 Gradient Descent Intuition by Adjusting Weights.en.srt
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008 Gradient Descent Intuition by Adjusting Weights.mp4
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008 Installing Libraries via Conda.mp4
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008 Installing Libraries via Conda.en.srt
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008 Is Alpha, Strip and Split.en.srt
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008 Is Alpha, Strip and Split.mp4
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008 Python Dictionaries and Tuples.en.srt
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008 Python Dictionaries and Tuples.mp4
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008 Reading Text Data - Exercises.en.srt
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008 Reading Text Data - Exercises.mp4
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008 Word Vectors - Exercises.en.srt
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008 Word Vectors - Exercises.mp4
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009 Fitting Neural Network on Wikipedia Data.en.srt
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009 Fitting Neural Network on Wikipedia Data.mp4
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009 Join and Capitalize.en.srt
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009 Join and Capitalize.mp4
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009 Launching a Jupyter Notebook via Conda.en.srt
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009 Launching a Jupyter Notebook via Conda.mp4
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009 Porter, Snowball and Lancaster Stemmers.en.srt
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009 Porter, Snowball and Lancaster Stemmers.mp4
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009 Python Control Flow.en.srt
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009 Python Control Flow.mp4
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009 Train and Test Split.en.srt
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009 Train and Test Split.mp4
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010 Fitting and Evaluating Model.en.srt
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010 Fitting and Evaluating Model.mp4
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010 Performance of the Neural Network.en.srt
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010 Performance of the Neural Network.mp4
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010 Python Functions.en.srt
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010 Python Functions.mp4
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010 Replace, Count and Find.en.srt
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010 Replace, Count and Find.mp4
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010 Stemming Sentences.en.srt
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010 Stemming Sentences.mp4
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010 Testing if your environment is OK.en.srt
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010 Testing if your environment is OK.mp4
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011 Model Regularization.en.srt
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011 Model Regularization.mp4
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011 Numpy Overview.en.srt
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011 Numpy Overview.mp4
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011 Predicting a Word Given a Context.en.srt
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011 Predicting a Word Given a Context.mp4
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011 Summary on Environment Setup.en.srt
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011 Summary on Environment Setup.mp4
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011 WordNet Lemmatizer.en.srt
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011 WordNet Lemmatizer.mp4
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011 Working with Text - Exercises.en.srt
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011 Working with Text - Exercises.mp4
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012 Obtaining the Weights_Coefficients of Regression.en.srt
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012 Obtaining the Weights_Coefficients of Regression.mp4
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012 Pandas Overview.en.srt
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012 Pandas Overview.mp4
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012 Part-of-Speech (POS) Tagging.en.srt
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012 Part-of-Speech (POS) Tagging.mp4
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012 Retrieving Word Embeddings and Word Similarities.en.srt
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012 Retrieving Word Embeddings and Word Similarities.mp4
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013 Predicting New Sentences Sentiment.en.srt
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013 Predicting New Sentences Sentiment.mp4
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013 Training a POS Tagger from Scratch - Accessing Tagged Data from Brown Corpus.en.srt
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013 Training a POS Tagger from Scratch - Accessing Tagged Data from Brown Corpus.mp4
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013 Tutorial - How to Complete the Exercises.en.srt
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013 Tutorial - How to Complete the Exercises.mp4
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013 Word2Vec.en.srt
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013 Word2Vec.mp4
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014 Python Quick Course - Exercises.en.srt
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014 Python Quick Course - Exercises.mp4
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014 Training a POS Tagger from Scratch - Unigram Tagger.en.srt
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014 Training a POS Tagger from Scratch - Unigram Tagger.mp4
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014 Word2Vec - Operations with Vectors.en.srt
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014 Word2Vec - Operations with Vectors.mp4
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015 Training a POS Tagger from Scratch - Bigram Tagger.en.srt
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015 Training a POS Tagger from Scratch - Bigram Tagger.mp4
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015 Word2Vec - Word Clustering.en.srt
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015 Word2Vec - Word Clustering.mp4
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016 Continuous Bag of Words Implementation - Exercises.en.srt
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016 Continuous Bag of Words Implementation - Exercises.mp4
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016 Plotting the Frequency of Tags in a Sentence.en.srt
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016 Plotting the Frequency of Tags in a Sentence.mp4
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017 Lemmatization and POS Tagging.en.srt
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017 Lemmatization and POS Tagging.mp4
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018 Stop Words.en.srt
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018 Stop Words.mp4
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019 N-Grams.en.srt
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019 N-Grams.mp4
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020 Natural Language Toolkit - Exercises.en.srt
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020 Natural Language Toolkit - Exercises.mp4
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TutsNode.com.txt
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external-assets-links.txt
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