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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners (Size: 8.70 GB) (Files: 697)
[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners
23 Mini-project Sentiment Classification(NLP with Deep Learning RNN)
006 RNN Setup 1.mp4
006 RNN Setup 1.en.srt
001 Vocabulary Implementation.en.srt
005 RNN Setup.en.srt
003 Vocabulary Implementation From File.en.srt
004 Vectorizer.en.srt
002 Vocabulary Implementation Helpers.en.srt
001 Vocabulary Implementation.mp4
005 RNN Setup.mp4
003 Vocabulary Implementation From File.mp4
002 Vocabulary Implementation Helpers.mp4
004 Vectorizer.mp4
01 Introduction
001 Introduction to Course.en.srt
003 Introduction to Co-Instructor.en.srt
005 Request for Your Honest Review.en.srt
006 Links for the Course's Materials and Codes.html
004 Course Introduction.en.srt
002 Introduction to Instructor.en.srt
004 Course Introduction.mp4
005 Request for Your Honest Review.mp4
002 Introduction to Instructor.mp4
003 Introduction to Co-Instructor.mp4
001 Introduction to Course.mp4
12 Language Modeling
010 Language Model Implementation Sampling Text.en.srt
010 Language Model Implementation Sampling Text.mp4
009 Language Model Implementation Reading Corpus.en.srt
006 Language Model Implementation Ngrams Function.en.srt
002 Language Model Formal Definition.en.srt
004 Language Model Markov Assumption And N-Grams.en.srt
001 What Is A Language Model.en.srt
007 Language Model Implementation Update Counts Function.en.srt
008 Language Model Implementation Probability Model Funciton.en.srt
003 Language Model Curse Of Dimensionality.en.srt
005 Language Model Implementation Setup.en.srt
009 Language Model Implementation Reading Corpus.mp4
006 Language Model Implementation Ngrams Function.mp4
008 Language Model Implementation Probability Model Funciton.mp4
004 Language Model Markov Assumption And N-Grams.mp4
007 Language Model Implementation Update Counts Function.mp4
001 What Is A Language Model.mp4
002 Language Model Formal Definition.mp4
005 Language Model Implementation Setup.mp4
003 Language Model Curse Of Dimensionality.mp4
13 Topic Modelling with Word and Document Representations
016 Topic Modeling With Gensim.en.srt
016 Topic Modeling With Gensim.mp4
011 TFIDF For Document Representations Implementation Computing TFIDF.en.srt
007 Term Frequency For Word Representations.en.srt
002 One Hot Vectors Implementaton.en.srt
006 Term Frequency For Document Representations Implementations.en.srt
010 TFIDF For Document Representations Implementation Computing Document Frequenc.en.srt
008 TFIDF For Document Representations.en.srt
003 One Hot Vectors Limitations.en.srt
015 Topic Modeling With TFIDF 5.en.srt
001 One Hot Vectors.en.srt
004 One Hot Vectors Uses As Target Labeling.en.srt
014 Topic Modeling With TFIDF 4.en.srt
012 Topic Modeling With TFIDF 1.en.srt
013 Topic Modeling With TFIDF 3.en.srt
009 TFIDF For Document Representations Implementation Reading Corpus.en.srt
005 Term Frequency For Document Representations.en.srt
011 TFIDF For Document Representations Implementation Computing TFIDF.mp4
015 Topic Modeling With TFIDF 5.mp4
006 Term Frequency For Document Representations Implementations.mp4
014 Topic Modeling With TFIDF 4.mp4
010 TFIDF For Document Representations Implementation Computing Document Frequenc.mp4
002 One Hot Vectors Implementaton.mp4
007 Term Frequency For Word Representations.mp4
009 TFIDF For Document Representations Implementation Reading Corpus.mp4
013 Topic Modeling With TFIDF 3.mp4
008 TFIDF For Document Representations.mp4
003 One Hot Vectors Limitations.mp4
012 Topic Modeling With TFIDF 1.mp4
001 One Hot Vectors.mp4
004 One Hot Vectors Uses As Target Labeling.mp4
005 Term Frequency For Document Representations.mp4
17 Need of Deep Learning for NLP(NLP with Deep Learning DNN)
001 Why RNNs For NLP.en.srt
002 Pytorch Installation And Tensors Introduction.en.srt
003 Automatic Diffrenciation Pytorch.en.srt
002 Pytorch Installation And Tensors Introduction.mp4
001 Why RNNs For NLP.mp4
003 Automatic Diffrenciation Pytorch.mp4
20 Hyper parameters(NLP with Deep Learning DNN)
010 DNN Pytorch CIFAR10 Example.en.srt
005 DNN Optimizations.en.srt
001 DNN Weights Initializations.en.srt
002 DNN Learning Rate.en.srt
006 DNN Dropout.en.srt
007 DNN Dropout In Pytorch.en.srt
009 DNN Hyperparameters.en.srt
008 DNN Early Stopping.en.srt
004 DNN Batch Normalization Implementation.en.srt
003 DNN Batch Normalization.en.srt
010 DNN Pytorch CIFAR10 Example.mp4
005 DNN Optimizations.mp4
001 DNN Weights Initializations.mp4
002 DNN Learning Rate.mp4
004 DNN Batch Normalization Implementation.mp4
006 DNN Dropout.mp4
009 DNN Hyperparameters.mp4
008 DNN Early Stopping.mp4
007 DNN Dropout In Pytorch.mp4
003 DNN Batch Normalization.mp4
19 Training(NLP with Deep Learning DNN)
009 DNN Implemenation In Pytorch.en.srt
008 DNN Implemenation Minibatch Gradient Descent.en.srt
003 DNN Gradient Descent Stochastic Batch Minibatch.en.srt
007 DNN Implemenation Batch Gradient Descent.en.srt
001 DNN Gradient Descent.en.srt
002 DNN Gradient Descent Implementation.en.srt
006 DNN Implemenation Stochastic Gradient Descent.mp4
005 DNN Implemenation Gradient Step.en.srt
004 DNN Gradient Descent Summary.en.srt
009 DNN Implemenation In Pytorch.mp4
008 DNN Implemenation Minibatch Gradient Descent.mp4
007 DNN Implemenation Batch Gradient Descent.mp4
003 DNN Gradient Descent Stochastic Batch Minibatch.mp4
002 DNN Gradient Descent Implementation.mp4
004 DNN Gradient Descent Summary.mp4
001 DNN Gradient Descent.mp4
005 DNN Implemenation Gradient Step.mp4
22 Mini-project Language Modelling(NLP with Deep Learning RNN)
010 Language Modeling Next Word Prediction Python 6.en.srt
006 Language Modeling Next Word Prediction Python 2.en.srt
007 Language Modeling Next Word Prediction Python 3.en.srt
005 Language Modeling Next Word Prediction Python 1.en.srt
008 Language Modeling Next Word Prediction Python 4.en.srt
004 Language Modeling Next Word Prediction Rnn Architecture.en.srt
009 Language Modeling Next Word Prediction Python 5.en.srt
002 Language Modeling Next Word Prediction Vocabulary Index.en.srt
001 Language Modeling Next Word Prediction.en.srt
010 Language Modeling Next Word Prediction Python 6.mp4
007 Language Modeling Next Word Prediction Python 3.mp4
006 Language Modeling Next Word Prediction Python 2.mp4
005 Language Modeling Next Word Prediction Python 1.mp4
008 Language Modeling Next Word Prediction Python 4.mp4
009 Language Modeling Next Word Prediction Python 5.mp4
002 Language Modeling Next Word Prediction Vocabulary Index.mp4
003 Language Modeling Next Word Prediction Vocabulary Index Embeddings.mp4
004 Language Modeling Next Word Prediction Rnn Architecture.mp4
001 Language Modeling Next Word Prediction.mp4
16 Word2vec(Optional)
013 Word2Vec Implemenation Driver Function.en.srt
003 Word2Vec Algorithm Abstract.en.srt
011 Word2Vec Implemenation Preparing Data.en.srt
012 Word2Vec Implemenation Gradient Step.en.srt
008 Word2Vec Formalizing Loss Function.en.srt
001 Static And Dynamic Embeddings.en.srt
007 Word2Vec Sigmoid.en.srt
005 Word2Vec What Is Skip Gram.en.srt
010 Word2Vec Gradient Descent Step.en.srt
002 Self Supervision.en.srt
006 Word2Vec How To Define Probability Law.en.srt
013 Word2Vec Implemenation Driver Function.mp4
004 Word2Vec Why Negative Sampling.en.srt
009 Word2Vec Loss Function.en.srt
011 Word2Vec Implemenation Preparing Data.mp4
012 Word2Vec Implemenation Gradient Step.mp4
001 Static And Dynamic Embeddings.mp4
003 Word2Vec Algorithm Abstract.mp4
007 Word2Vec Sigmoid.mp4
008 Word2Vec Formalizing Loss Function.mp4
002 Self Supervision.mp4
005 Word2Vec What Is Skip Gram.mp4
006 Word2Vec How To Define Probability Law.mp4
010 Word2Vec Gradient Descent Step.mp4
009 Word2Vec Loss Function.mp4
004 Word2Vec Why Negative Sampling.mp4
08 Sentiment Classification(Text Preprocessing)
007 Yelp Reviews Classification Mini Project One Hot Encoding Implementation.en.srt
012 Yelp Reviews Classification Mini Project Classification.en.srt
005 Yelp Reviews Classification Mini Project Building Vocabulary From Data.en.srt
006 Yelp Reviews Classification Mini Project One Hot Encoding.en.srt
008 Yelp Reviews Classification Mini Project Encoding Documents.en.srt
002 Yelp Reviews Classification Mini Project Vocabulary Initialization.en.srt
009 Yelp Reviews Classification Mini Project Encoding Documents Implementation.en.srt
001 Yelp Reviews Classification Mini Project Introduction.en.srt
011 Yelp Reviews Classification Mini Project Featurecomputation.en.srt
004 Yelp Reviews Classification Mini Project Look Up Functions In Vocabulary.en.srt
003 Yelp Reviews Classification Mini Project Adding Tokens To Vocabulary.en.srt
010 Yelp Reviews Classification Mini Project Train Test Splits.en.srt
012 Yelp Reviews Classification Mini Project Classification.mp4
001 Yelp Reviews Classification Mini Project Introduction.mp4
007 Yelp Reviews Classification Mini Project One Hot Encoding Implementation.mp4
005 Yelp Reviews Classification Mini Project Building Vocabulary From Data.mp4
011 Yelp Reviews Classification Mini Project Featurecomputation.mp4
002 Yelp Reviews Classification Mini Project Vocabulary Initialization.mp4
004 Yelp Reviews Classification Mini Project Look Up Functions In Vocabulary.mp4
009 Yelp Reviews Classification Mini Project Encoding Documents Implementation.mp4
008 Yelp Reviews Classification Mini Project Encoding Documents.mp4
003 Yelp Reviews Classification Mini Project Adding Tokens To Vocabulary.mp4
006 Yelp Reviews Classification Mini Project One Hot Encoding.mp4
010 Yelp Reviews Classification Mini Project Train Test Splits.mp4
26 Neural Machine Translation
008 DecoderRNN Forward Step.en.srt
010 Training Module.en.srt
003 Testing Language Class And Implementing Normalization.en.srt
013 NMT Evaluation.en.srt
010 Training Module.mp4
005 Reading Building Vocabulary.en.srt
006 EncoderRNN.en.srt
011 Stochastic Gradient Descent.en.srt
001 Introduction To Dataset And Packages.en.srt
007 DecoderRNN.en.srt
004 Reading Datafile.en.srt
012 NMT Training.en.srt
002 Implementing Language Class.en.srt
009 DecoderRNN Helper Functions.en.srt
008 DecoderRNN Forward Step.mp4
013 NMT Evaluation.mp4
003 Testing Language Class And Implementing Normalization.mp4
011 Stochastic Gradient Descent.mp4
005 Reading Building Vocabulary.mp4
007 DecoderRNN.mp4
012 NMT Training.mp4
006 EncoderRNN.mp4
009 DecoderRNN Helper Functions.mp4
004 Reading Datafile.mp4
002 Implementing Language Class.mp4
001 Introduction To Dataset And Packages.mp4
14 Word Embeddings LSI
006 Word Co-occurrence Matrix Implementation Final Function.en.srt
007 Word Co-occurrence Matrix Implementation Handling Memory Issues On Large Corp.en.srt
009 Word Co-occurrence Matrix Positive Point Wise Mutual Information PPMI.en.srt
001 Word Co-occurrence Matrix.en.srt
012 Latent Semantic Analysis Implementation.en.srt
010 PCA For Dense Embeddings.en.srt
002 Word Co-occurrence Matrix vs Document-term Matrix.en.srt
008 Word Co-occurrence Matrix Sparsity.en.srt
003 Word Co-occurrence Matrix Implementation Preparing Data.en.srt
011 Latent Semantic Analysis.en.srt
005 Word Co-occurrence Matrix Implementation Preparing Data Getting Vocabulary.en.srt
004 Word Co-occurrence Matrix Implementation Preparing Data 2.en.srt
006 Word Co-occurrence Matrix Implementation Final Function.mp4
007 Word Co-occurrence Matrix Implementation Handling Memory Issues On Large Corp.mp4
012 Latent Semantic Analysis Implementation.mp4
009 Word Co-occurrence Matrix Positive Point Wise Mutual Information PPMI.mp4
010 PCA For Dense Embeddings.mp4
002 Word Co-occurrence Matrix vs Document-term Matrix.mp4
001 Word Co-occurrence Matrix.mp4
008 Word Co-occurrence Matrix Sparsity.mp4
005 Word Co-occurrence Matrix Implementation Preparing Data Getting Vocabulary.mp4
004 Word Co-occurrence Matrix Implementation Preparing Data 2.mp4
003 Word Co-occurrence Matrix Implementation Preparing Data.mp4
011 Latent Semantic Analysis.mp4
15 Word Semantics
004 Cosine Similarity With More Than One Vectors.en.srt
007 Cosine Similarity Word2Vec Embeddings.en.srt
005 Cosine Similarity Getting Most Similar Words In The Vocabulary.en.srt
002 Cosine Similarity Geting Norms Of Vectors.en.srt
001 Cosine Similarity.en.srt
010 Words Analogies Implemenation 2.en.srt
006 Cosine Similarity Getting Most Similar Words In The Vocabulary Fixingbug Of D.en.srt
013 Words Visualizations Implementaion 2.en.srt
003 Cosine Similarity Normalizing Vectors.en.srt
009 Words Analogies Implemenation 1.en.srt
008 Words Analogies.en.srt
012 Words Visualizations Implementaion.en.srt
011 Words Visualizations.en.srt
004 Cosine Similarity With More Than One Vectors.mp4
002 Cosine Similarity Geting Norms Of Vectors.mp4
005 Cosine Similarity Getting Most Similar Words In The Vocabulary.mp4
007 Cosine Similarity Word2Vec Embeddings.mp4
006 Cosine Similarity Getting Most Similar Words In The Vocabulary Fixingbug Of D.mp4
010 Words Analogies Implemenation 2.mp4
003 Cosine Similarity Normalizing Vectors.mp4
013 Words Visualizations Implementaion 2.mp4
009 Words Analogies Implemenation 1.mp4
001 Cosine Similarity.mp4
012 Words Visualizations Implementaion.mp4
008 Words Analogies.mp4
011 Words Visualizations.mp4
03 Meta Characters(Regular Expressions)
004 Meta Characters Bigbrackets Exercise 2.en.srt
007 Meta Characters Cap Exercise 3.en.srt
010 Backslash Continued.en.srt
012 Backslash Squared Brackets Exercise.en.srt
015 Backslash Exercise.en.srt
023 Meta Character Plus And Questionmark.en.srt
025 Meta Character Curly Brackets Exercise Solution.en.srt
022 Meta Character Esterics Greedymatching.en.srt
018 Meta Character Esterics.en.srt
019 Meta Character Esterics Exercise.en.srt
009 Backslash.en.srt
016 Backslash Exercise Solution And Special Sequences Exercise.en.srt
020 Meta Character Esterics Exercise Solution.en.srt
017 Solution And Special Sequences Exercise Solution.en.srt
021 Meta Character Esterics Homework.en.srt
008 Meta Characters Cap Exercise 3 Solution.en.srt
005 Meta Characters Bigbrackets Exercise 2 Solution.en.srt
014 Backslash Squared Brackets Exercise Another Solution.en.srt
013 Backslash Squared Brackets Exercise Solution.en.srt
002 Meta Characters Bigbrackets Exercise.en.srt
011 Backslash Continued 01.en.srt
003 Meta Characters Bigbrackets Exercise Solution.en.srt
024 Meta Character Curly Brackets Exercise.en.srt
006 Meta Characters Cap.en.srt
001 Meta Characters.en.srt
022 Meta Character Esterics Greedymatching.mp4
020 Meta Character Esterics Exercise Solution.mp4
019 Meta Character Esterics Exercise.mp4
010 Backslash Continued.mp4
023 Meta Character Plus And Questionmark.mp4
017 Solution And Special Sequences Exercise Solution.mp4
008 Meta Characters Cap Exercise 3 Solution.mp4
025 Meta Character Curly Brackets Exercise Solution.mp4
014 Backslash Squared Brackets Exercise Another Solution.mp4
021 Meta Character Esterics Homework.mp4
018 Meta Character Esterics.mp4
016 Backslash Exercise Solution And Special Sequences Exercise.mp4
009 Backslash.mp4
005 Meta Characters Bigbrackets Exercise 2 Solution.mp4
002 Meta Characters Bigbrackets Exercise.mp4
011 Backslash Continued 01.mp4
013 Backslash Squared Brackets Exercise Solution.mp4
003 Meta Characters Bigbrackets Exercise Solution.mp4
024 Meta Character Curly Brackets Exercise.mp4
007 Meta Characters Cap Exercise 3.mp4
006 Meta Characters Cap.mp4
004 Meta Characters Bigbrackets Exercise 2.mp4
001 Meta Characters.mp4
015 Backslash Exercise.mp4
012 Backslash Squared Brackets Exercise.mp4
11 String Matching and Spelling Correction(Text Preprocessing)
003 Spelling Correction Minimum Edit Distance Table Filling.en.srt
001 Spelling Correction Minimum Edit Distance Intro.en.srt
008 Spelling Correction Implementation.en.srt
002 Spelling Correction Minimum Edit Distance Example.en.srt
004 Spelling Correction Minimum Edit Distance Dynamic Programming.en.srt
006 Spelling Correction Minimum Edit Distance Implementation.en.srt
005 Spelling Correction Minimum Edit Distance Psudocode.en.srt
007 Spelling Correction Minimum Edit Distance Implementation Bugfixing.en.srt
003 Spelling Correction Minimum Edit Distance Table Filling.mp4
002 Spelling Correction Minimum Edit Distance Example.mp4
001 Spelling Correction Minimum Edit Distance Intro.mp4
006 Spelling Correction Minimum Edit Distance Implementation.mp4
008 Spelling Correction Implementation.mp4
004 Spelling Correction Minimum Edit Distance Dynamic Programming.mp4
005 Spelling Correction Minimum Edit Distance Psudocode.mp4
007 Spelling Correction Minimum Edit Distance Implementation Bugfixing.mp4
09 Language Independent Tokenization(Text Preprocessing)
004 Tokenization Byte Pair Encoding Example.en.srt
010 Tokenization Byte Pair Encoding Implementation BFE Encoding One Pair.en.srt
011 Tokenization Byte Pair Encoding Implementation BFE Encoding One Pair 1.en.srt
006 Tokenization Byte Pair Encoding Implementation Getpaircounts.en.srt
007 Tokenization Byte Pair Encoding Implementation Mergeincorpus.en.srt
005 Tokenization Byte Pair Encoding On Test Data.en.srt
003 Tokenization Byte Pair Encoding.en.srt
002 Tokenization Is Hard.en.srt
009 Tokenization Byte Pair Encoding Implementation BFE Encoding.en.srt
008 Tokenization Byte Pair Encoding Implementation BFE Training.en.srt
001 Tokenization In Detial Introduction.en.srt
010 Tokenization Byte Pair Encoding Implementation BFE Encoding One Pair.mp4
011 Tokenization Byte Pair Encoding Implementation BFE Encoding One Pair 1.mp4
005 Tokenization Byte Pair Encoding On Test Data.mp4
004 Tokenization Byte Pair Encoding Example.mp4
007 Tokenization Byte Pair Encoding Implementation Mergeincorpus.mp4
006 Tokenization Byte Pair Encoding Implementation Getpaircounts.mp4
008 Tokenization Byte Pair Encoding Implementation BFE Training.mp4
002 Tokenization Is Hard.mp4
003 Tokenization Byte Pair Encoding.mp4
009 Tokenization Byte Pair Encoding Implementation BFE Encoding.mp4
001 Tokenization In Detial Introduction.mp4
24 RNN in PyTorch(NLP with Deep Learning RNN)
010 RNN In Pytorch Example.en.srt
003 RNN In Pytorch Nn Rnn.en.srt
002 RNN In Pytorch Embedding Layer.en.srt
001 RNN In Pytorch Introduction.en.srt
008 RNN In Pytorch Bidirectional RNN Output Shapes.en.srt
004 RNN In Pytorch Output Shapes.en.srt
009 RNN In Pytorch Bidirectional RNN Output Shapes Seperation.en.srt
005 RNN In Pytorch Gatedunits.en.srt
006 RNN In Pytorch Gatedunits GRU LSTM.en.srt
007 RNN In Pytorch Bidirectional RNN.en.srt
010 RNN In Pytorch Example.mp4
003 RNN In Pytorch Nn Rnn.mp4
002 RNN In Pytorch Embedding Layer.mp4
008 RNN In Pytorch Bidirectional RNN Output Shapes.mp4
006 RNN In Pytorch Gatedunits GRU LSTM.mp4
009 RNN In Pytorch Bidirectional RNN Output Shapes Seperation.mp4
004 RNN In Pytorch Output Shapes.mp4
005 RNN In Pytorch Gatedunits.mp4
007 RNN In Pytorch Bidirectional RNN.mp4
001 RNN In Pytorch Introduction.mp4
07 Words and Tokens(Text Preprocessing)
005 Tokenization In Spacy.en.srt
003 Vocabulary And Corpus.en.srt
002 Definition Of Word Is Task Dependent.en.srt
001 What Is A Word.en.srt
004 Tokens.en.srt
005 Tokenization In Spacy.mp4
003 Vocabulary And Corpus.mp4
002 Definition Of Word Is Task Dependent.mp4
001 What Is A Word.mp4
004 Tokens.mp4
18 Introduction(NLP with Deep Learning DNN)
006 DNN Forwardstep Implementation.en.srt
002 Representational Power And Data Utilization Capacity Of DNN.en.srt
010 DNN What Is Loss Function.en.srt
004 Perceptron Implementation.en.srt
008 DNN Properties Of Activation Function.en.srt
011 DNN Loss Function In Pytorch.en.srt
003 Perceptron.en.srt
007 DNN Why Activation Function Is Required.en.srt
005 DNN Architecture.en.srt
001 Why DNNs In Machine Learning.en.srt
009 DNN Activation Functions In Pytorch.en.srt
002 Representational Power And Data Utilization Capacity Of DNN.mp4
006 DNN Forwardstep Implementation.mp4
008 DNN Properties Of Activation Function.mp4
010 DNN What Is Loss Function.mp4
004 Perceptron Implementation.mp4
011 DNN Loss Function In Pytorch.mp4
007 DNN Why Activation Function Is Required.mp4
003 Perceptron.mp4
001 Why DNNs In Machine Learning.mp4
005 DNN Architecture.mp4
009 DNN Activation Functions In Pytorch.mp4
21 Introduction(NLP with Deep Learning RNN)
002 Understanding RNN With A Simple Example.en.srt
007 RNN Models.en.srt
003 RNN Applications Human Activity Recognition.en.srt
001 What Is RNN.en.srt
006 RNN Applications Speech Recognition Stock Price Prediction.en.srt
005 RNN Applications Machine Translation.en.srt
004 RNN Applications Image Captioning.en.srt
002 Understanding RNN With A Simple Example.mp4
007 RNN Models.mp4
006 RNN Applications Speech Recognition Stock Price Prediction.mp4
004 RNN Applications Image Captioning.mp4
005 RNN Applications Machine Translation.mp4
001 What Is RNN.mp4
003 RNN Applications Human Activity Recognition.mp4
05 More Meta Characters(Regular Expressions)
001 Meta Characters Logical Or.mp4.vtx
001 Meta Characters Logical Or.en.srt
003 Meta Characters Paranthesis.en.srt
002 Meta Characters Beginning And End Patterns.en.srt
003 Meta Characters Paranthesis.mp4
001 Meta Characters Logical Or.mp4
002 Meta Characters Beginning And End Patterns.mp4
04 Pattern Objects(Regular Expressions)
003 Pattern Objects Match Method Exersize Solution.en.srt
006 Pattern Objects Finditer Method Exersize Solution.en.srt
004 Pattern Objects Match Method Vs Search Method.en.srt
001 Pattern Objects.en.srt
005 Pattern Objects Finditer Method.en.srt
002 Pattern Objects Match Method Exersize.en.srt
006 Pattern Objects Finditer Method Exersize Solution.mp4
003 Pattern Objects Match Method Exersize Solution.mp4
004 Pattern Objects Match Method Vs Search Method.mp4
001 Pattern Objects.mp4
005 Pattern Objects Finditer Method.mp4
002 Pattern Objects Match Method Exersize.mp4
02 Introduction(Regular Expressions)
002 Why Regular Expression.en.srt
001 What Is Regular Expression.en.srt
003 ELIZA Chatbot.en.srt
004 Python Regular Expression Package.en.srt
002 Why Regular Expression.mp4
001 What Is Regular Expression.mp4
003 ELIZA Chatbot.mp4
004 Python Regular Expression Package.mp4
10 Text Nomalization(Text Preprocessing)
002 Word Normalization Lematization.en.srt
004 Word Normalization Sentence Segmentation.en.srt
003 Word Normalization Stemming.en.srt
001 Word Normalization Case Folding.en.srt
004 Word Normalization Sentence Segmentation.mp4
002 Word Normalization Lematization.mp4
001 Word Normalization Case Folding.mp4
003 Word Normalization Stemming.mp4
06 String Modification(Regular Expressions)
004 Sub Method Exercise Solution.en.srt
002 Word Tokenizer Using Split Method.en.srt
003 Sub Method Exercise.en.srt
001 String Modification.en.srt
004 Sub Method Exercise Solution.mp4
003 Sub Method Exercise.mp4
002 Word Tokenizer Using Split Method.mp4
001 String Modification.mp4
25 Advanced RNN models(NLP with Deep Learning RNN)
002 RNN Attention.en.srt
001 RNN Encoder Decoder.en.srt
002 RNN Attention.mp4
001 RNN Encoder Decoder.mp4
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