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001 Business Problem & Dataset.mp4
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001 Business Problem.mp4
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001 Business Problem_en.vtt
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001 Convolutional Neural Network Part 1.mp4
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001 Convolutional Neural Network Part 1_en.vtt
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001 Course Installation.mp4
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001 Course Installation_en.vtt
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001 Course Overview.mp4
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001 Course Overview_en.vtt
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001 Importing the libraries and Dataset.mp4
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001 Importing the libraries and Dataset_en.vtt
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001 Introduction to NumPy.mp4
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001 Introduction to NumPy_en.vtt
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001 Introduction to Recurrent Neural Networks.mp4
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001 Introduction to Recurrent Neural Networks_en.vtt
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001 Introduction to Word Embedding.mp4
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146.4 MB
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001 Introduction to Word Embedding_en.vtt
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001 Matplotlib Part 1 - Functional Method.mp4
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001 Matplotlib Part 1 - Functional Method_en.vtt
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001 Pandas Introduction.mp4
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12.5 MB
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001 Pandas Introduction_en.vtt
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001 Review Classification Part -1.mp4
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001 Review Classification Part -1_en.vtt
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001 Section _ Introduction.mp4
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49 MB
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001 Section _ Introduction_en.vtt
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001 Setting up Twitter Developer application.mp4
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001 Setting up Twitter Developer application_en.vtt
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001 Text File Processing - I.mp4
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001 Text File Processing - I_en.vtt
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001 Text Generation Part I.mp4
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001 Text Generation Part I_en.vtt
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001 The Neuron.mp4
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102 MB
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001 The Neuron_en.vtt
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001 fasttext Installation steps [Video].mp4
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001 fasttext Installation steps [Video]_en.vtt
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002 Activation Function.mp4
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002 Activation Function_en.vtt
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002 Cleaning Text Data with NLTK - 1.mp4
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002 Cleaning Text Data with NLTK - 1_en.vtt
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002 Convolutional Neural Network Part 2.mp4
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002 Convolutional Neural Network Part 2_en.vtt
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002 Create Word Frequency Counter.mp4
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002 Create Word Frequency Counter_en.vtt
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002 Data Exploration & Preprocessing.mp4
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002 Data Exploration & Preprocessing_en.vtt
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002 Fetch Tweet from Tweeter server.mp4
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31 MB
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002 Fetch Tweet from Tweeter server_en.vtt
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4 KB
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002 Local Installation Steps.html
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819.2 B
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002 Matplotlib Part 1 - Object Oriented Method.mp4
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44 MB
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002 Matplotlib Part 1 - Object Oriented Method_en.vtt
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002 Numpy Arrays Part 1.mp4
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16.8 MB
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002 Numpy Arrays Part 1_en.vtt
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002 Pandas Series.mp4
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70 MB
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002 Pandas Series_en.vtt
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002 Review Classification Part - 2.mp4
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002 Review Classification Part - 2_en.vtt
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002 Reviews UPDATE.mp4
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002 Reviews UPDATE_en.vtt
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002 Text File Processing - II.mp4
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58 MB
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002 Text File Processing - II_en.vtt
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002 Text Generation Part II.mp4
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002 Text Generation Part II_en.vtt
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002 Tokenization Basic Part - 1.mp4
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002 Tokenization Basic Part - 1_en.vtt
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002 Train Model for Embedding - I.mp4
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002 Train Model for Embedding - I_en.vtt
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002 Vanishing Gradient Problem.mp4
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38.9 MB
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002 Vanishing Gradient Problem_en.vtt
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002 fasttext Installation steps [Text].html
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003 Calculate Sentence Score.mp4
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57.3 MB
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003 Calculate Sentence Score_en.vtt
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003 Cleaning Text Data with NLTK - 2.mp4
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003 Cleaning Text Data with NLTK - 2_en.vtt
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003 Cost Function.mp4
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003 Cost Function_en.vtt
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003 DataFrames Part 1.mp4
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003 DataFrames Part 1_en.vtt
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003 Find Setiment from Tweets.mp4
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003 Find Setiment from Tweets_en.vtt
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003 Introduction to NLP.mp4
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003 Introduction to NLP_en.vtt
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003 LSTM and GRU.mp4
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003 LSTM and GRU_en.vtt
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003 Links to Notebooks (As taught in Lectures).html
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003 Matplotlib Part 2 - Subplots Method.mp4
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003 Matplotlib Part 2 - Subplots Method_en.vtt
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003 Numpy Arrays Part 2.mp4
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003 Numpy Arrays Part 2_en.vtt
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003 Spam Detection with CNN - I.mp4
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003 Spam Detection with CNN - I_en.vtt
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003 Split Data in Training & Testing.mp4
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003 Split Data in Training & Testing_en.vtt
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003 Text File Processing - III.mp4
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003 Text File Processing - III_en.vtt
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003 Tokenization Basic Part - 2.mp4
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003 Tokenization Basic Part - 2_en.vtt
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003 Train Model for Embedding - II.mp4
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003 Train Model for Embedding - II_en.vtt
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003 Virtual Box Installation.mp4
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003 Virtual Box Installation_en.vtt
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004 Apply Random Forest.mp4
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63.9 MB
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004 Apply Random Forest_en.vtt
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004 Bag of Word Model.mp4
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70 MB
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004 Bag of Word Model_en.vtt
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004 Course FAQs.html
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004 Create Linux Virtual Machine.mp4
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004 Create Linux Virtual Machine_en.vtt
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004 DataFrames Part 2.mp4
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004 DataFrames Part 2_en.vtt
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004 Embeddings with Pretrained model.mp4
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004 Embeddings with Pretrained model_en.vtt
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004 Extract summary of document.mp4
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004 Extract summary of document_en.vtt
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004 Gradient Descent and Back-Propagation.mp4
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004 Gradient Descent and Back-Propagation_en.vtt
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004 Links to Notebooks (More explanatory notebook for refrence).html
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004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI.mp4
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004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI_en.vtt
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004 Numpy Arrays Part 3.mp4
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004 Numpy Arrays Part 3_en.vtt
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004 Spam Detection with CNN - II.mp4
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004 Spam Detection with CNN - II_en.vtt
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004 Spam Detection with RNN.mp4
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004 Spam Detection with RNN_en.vtt
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004 Text File Processing - IV.mp4
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004 Text File Processing - IV_en.vtt
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004 Tokenization Basic Part - 3.mp4
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005 Apply Naive Bayes Algorithm.mp4
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005 Apply Naive Bayes Algorithm_en.vtt
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005 Apply Support vector Machine (SVM).mp4
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005 Apply Support vector Machine (SVM)_en.vtt
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005 DataFrames Part 3.mp4
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005 DataFrames Part 3_en.vtt
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005 Install fasttext library.mp4
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005 Install fasttext library_en.vtt
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005 Matplotlib Part 3.mp4
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005 Matplotlib Part 3_en.vtt
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005 Numpy Indexing and Selection Part 1.mp4
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005 Numpy Indexing and Selection Part 1_en.vtt
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005 Stemming & Lemmatization - 1.mp4
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005 Stemming & Lemmatization - 1_en.vtt
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005 Working with PDF File - I.mp4
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005 Working with PDF File - I_en.vtt
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006 Matplotlib Part 4.mp4
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006 Matplotlib Part 4_en.vtt
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006 Missing Data.mp4
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006 Missing Data_en.vtt
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006 Numpy Indexing and Selection Part 2.mp4
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006 Numpy Indexing and Selection Part 2_en.vtt
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006 Predict Testing Data both model.mp4
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006 Predict Testing Data both model_en.vtt
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006 Stemming & Lemmatization - 2.mp4
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006 Stemming & Lemmatization - 2_en.vtt
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006 Text Classification with Fasttext.mp4
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006 Text Classification with Fasttext_en.vtt
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007 Groupby Method.mp4
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007 Groupby Method_en.vtt
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007 Numpy Operations.mp4
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007 Numpy Operations_en.vtt
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007 Stop Words.mp4
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007 Stop Words_en.vtt
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008 Merging, Joining and Concatenating DataFrames.mp4
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57.2 MB
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008 Merging, Joining and Concatenating DataFrames_en.vtt
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008 Vocabulary and Matching Part - 1.mp4
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84.4 MB
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008 Vocabulary and Matching Part - 1_en.vtt
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009 Pandas Operations.mp4
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009 Pandas Operations_en.vtt
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009 Vocabulary and Matching Part - 2 (Rule Based).mp4
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009 Vocabulary and Matching Part - 2 (Rule Based)_en.vtt
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010 Reading and Writing Files in Pandas.mp4
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010 Reading and Writing Files in Pandas_en.vtt
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010 Vocabulary and Matching Part - 3 (Phrase Based).mp4
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010 Vocabulary and Matching Part - 3 (Phrase Based)_en.vtt
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011 Parts of Speech Tagging.mp4
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011 Parts of Speech Tagging_en.vtt
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012 Named Entity Recognition.mp4
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012 Named Entity Recognition_en.vtt
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013 Sentence Segmentation.mp4
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013 Sentence Segmentation_en.vtt
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24056952-requirements.txt
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25152746-spam.tsv
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25152756-Restaurant-Reviews.tsv
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59.9 KB
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25152800-amazon-cells-labelled.txt
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56.9 KB
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25152804-imdb-labelled.txt
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25152808-yelp-labelled.txt
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25153370-spam.csv
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25153382-spam.csv
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25154140-sample.pdf
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3 KB
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27130276-reviews.txt
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70.1 KB
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[Tutorialsplanet.NET].url
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external-assets-links.txt
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102.4 B
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![Udemy - Natural Language Processing (NLP) in Python with 8 Projects [TP]](/static/img/no-torrent-image.png "Udemy - Natural Language Processing (NLP) in Python with 8 Projects [TP]")
