[Udemy] Natural Language Processing (NLP) in Python with 8 Projects (11.2021)

mp4   Hot:241   Size:4.72 GB   Created:2022-04-13 19:20:27   Update:2024-10-25 05:02:46  

File List

  • 01 - Welcome/001 Course Overview.mp4 35.44 MB
    01 - Welcome/001 Course Overview_en.vtt 4 KB
    01 - Welcome/002 Reviews UPDATE.mp4 5.35 MB
    01 - Welcome/002 Reviews UPDATE_en.vtt 1.63 KB
    01 - Welcome/003 Introduction to NLP.mp4 133.54 MB
    01 - Welcome/003 Introduction to NLP_en.vtt 7.43 KB
    01 - Welcome/004 Course FAQs.html 1.58 KB
    02 - Installation & Setup/001 Course Installation.mp4 81.09 MB
    02 - Installation & Setup/001 Course Installation_en.vtt 12.23 KB
    02 - Installation & Setup/002 Local Installation Steps.html 860 B
    02 - Installation & Setup/003 Links to Notebooks (As taught in Lectures).html 3.27 KB
    02 - Installation & Setup/004 Links to Notebooks (More explanatory notebook for refrence).html 3.38 KB
    02 - Installation & Setup/24056952-requirements.txt 12 B
    02 - Installation & Setup/external-assets-links.txt 99 B
    03 - Basics of Natural Language Processing/001 Section _ Introduction.mp4 48.97 MB
    03 - Basics of Natural Language Processing/001 Section _ Introduction_en.vtt 2.77 KB
    03 - Basics of Natural Language Processing/002 Tokenization Basic Part - 1.mp4 73.1 MB
    03 - Basics of Natural Language Processing/002 Tokenization Basic Part - 1_en.vtt 9.8 KB
    03 - Basics of Natural Language Processing/003 Tokenization Basic Part - 2.mp4 50.31 MB
    03 - Basics of Natural Language Processing/003 Tokenization Basic Part - 2_en.vtt 8.4 KB
    03 - Basics of Natural Language Processing/004 Tokenization Basic Part - 3.mp4 12.74 MB
    03 - Basics of Natural Language Processing/004 Tokenization Basic Part - 3_en.vtt 3.21 KB
    03 - Basics of Natural Language Processing/005 Stemming & Lemmatization - 1.mp4 26.84 MB
    03 - Basics of Natural Language Processing/005 Stemming & Lemmatization - 1_en.vtt 6.55 KB
    03 - Basics of Natural Language Processing/006 Stemming & Lemmatization - 2.mp4 23.5 MB
    03 - Basics of Natural Language Processing/006 Stemming & Lemmatization - 2_en.vtt 4.95 KB
    03 - Basics of Natural Language Processing/007 Stop Words.mp4 32.74 MB
    03 - Basics of Natural Language Processing/007 Stop Words_en.vtt 6.72 KB
    03 - Basics of Natural Language Processing/008 Vocabulary and Matching Part - 1.mp4 84.41 MB
    03 - Basics of Natural Language Processing/008 Vocabulary and Matching Part - 1_en.vtt 9.66 KB
    03 - Basics of Natural Language Processing/009 Vocabulary and Matching Part - 2 (Rule Based).mp4 72.81 MB
    03 - Basics of Natural Language Processing/009 Vocabulary and Matching Part - 2 (Rule Based)_en.vtt 8.8 KB
    03 - Basics of Natural Language Processing/010 Vocabulary and Matching Part - 3 (Phrase Based).mp4 33.14 MB
    03 - Basics of Natural Language Processing/010 Vocabulary and Matching Part - 3 (Phrase Based)_en.vtt 3.98 KB
    03 - Basics of Natural Language Processing/011 Parts of Speech Tagging.mp4 55.69 MB
    03 - Basics of Natural Language Processing/011 Parts of Speech Tagging_en.vtt 8.04 KB
    03 - Basics of Natural Language Processing/012 Named Entity Recognition.mp4 82.87 MB
    03 - Basics of Natural Language Processing/012 Named Entity Recognition_en.vtt 12.93 KB
    03 - Basics of Natural Language Processing/013 Sentence Segmentation.mp4 52.93 MB
    03 - Basics of Natural Language Processing/013 Sentence Segmentation_en.vtt 8.97 KB
    03 - Basics of Natural Language Processing/external-assets-links.txt 226 B
    04 - Project 1 _ Spam Message Classification/001 Business Problem & Dataset.mp4 42.61 MB
    04 - Project 1 _ Spam Message Classification/001 Business Problem & Dataset_en.vtt 7.98 KB
    04 - Project 1 _ Spam Message Classification/002 Data Exploration & Preprocessing.mp4 50.3 MB
    04 - Project 1 _ Spam Message Classification/002 Data Exploration & Preprocessing_en.vtt 9.54 KB
    04 - Project 1 _ Spam Message Classification/003 Split Data in Training & Testing.mp4 40.23 MB
    04 - Project 1 _ Spam Message Classification/003 Split Data in Training & Testing_en.vtt 6.79 KB
    04 - Project 1 _ Spam Message Classification/004 Apply Random Forest.mp4 63.89 MB
    04 - Project 1 _ Spam Message Classification/004 Apply Random Forest_en.vtt 11.99 KB
    04 - Project 1 _ Spam Message Classification/005 Apply Support vector Machine (SVM).mp4 33.81 MB
    04 - Project 1 _ Spam Message Classification/005 Apply Support vector Machine (SVM)_en.vtt 4.88 KB
    04 - Project 1 _ Spam Message Classification/006 Predict Testing Data both model.mp4 16.18 MB
    04 - Project 1 _ Spam Message Classification/006 Predict Testing Data both model_en.vtt 3.69 KB
    04 - Project 1 _ Spam Message Classification/25152746-spam.tsv 501.84 KB
    04 - Project 1 _ Spam Message Classification/external-assets-links.txt 134 B
    05 - Project 2 _ Restaurant Review Prediction (Good or bad)/001 Business Problem.mp4 25.74 MB
    05 - Project 2 _ Restaurant Review Prediction (Good or bad)/001 Business Problem_en.vtt 4.5 KB
    05 - Project 2 _ Restaurant Review Prediction (Good or bad)/002 Cleaning Text Data with NLTK - 1.mp4 49.61 MB
    05 - Project 2 _ Restaurant Review Prediction (Good or bad)/002 Cleaning Text Data with NLTK - 1_en.vtt 8.99 KB
    05 - Project 2 _ Restaurant Review Prediction (Good or bad)/003 Cleaning Text Data with NLTK - 2.mp4 51.26 MB
    05 - Project 2 _ Restaurant Review Prediction (Good or bad)/003 Cleaning Text Data with NLTK - 2_en.vtt 6.85 KB
    05 - Project 2 _ Restaurant Review Prediction (Good or bad)/004 Bag of Word Model.mp4 70.04 MB
    05 - Project 2 _ Restaurant Review Prediction (Good or bad)/004 Bag of Word Model_en.vtt 10.44 KB
    05 - Project 2 _ Restaurant Review Prediction (Good or bad)/005 Apply Naive Bayes Algorithm.mp4 28.76 MB
    05 - Project 2 _ Restaurant Review Prediction (Good or bad)/005 Apply Naive Bayes Algorithm_en.vtt 4.65 KB
    05 - Project 2 _ Restaurant Review Prediction (Good or bad)/25152756-Restaurant-Reviews.tsv 59.89 KB
    06 - Project 3 _ IMDB, Amazon and Yelp review Classification/001 Review Classification Part -1.mp4 79.44 MB
    06 - Project 3 _ IMDB, Amazon and Yelp review Classification/001 Review Classification Part -1_en.vtt 10.88 KB
    06 - Project 3 _ IMDB, Amazon and Yelp review Classification/002 Review Classification Part - 2.mp4 72.4 MB
    06 - Project 3 _ IMDB, Amazon and Yelp review Classification/002 Review Classification Part - 2_en.vtt 9.24 KB
    06 - Project 3 _ IMDB, Amazon and Yelp review Classification/25152800-amazon-cells-labelled.txt 56.86 KB
    06 - Project 3 _ IMDB, Amazon and Yelp review Classification/25152804-imdb-labelled.txt 83.29 KB
    06 - Project 3 _ IMDB, Amazon and Yelp review Classification/25152808-yelp-labelled.txt 59.88 KB
    07 - Project 4 _ Automated Text Summarization/001 Importing the libraries and Dataset.mp4 61.1 MB
    07 - Project 4 _ Automated Text Summarization/001 Importing the libraries and Dataset_en.vtt 7.65 KB
    07 - Project 4 _ Automated Text Summarization/002 Create Word Frequency Counter.mp4 42.4 MB
    07 - Project 4 _ Automated Text Summarization/002 Create Word Frequency Counter_en.vtt 7.43 KB
    07 - Project 4 _ Automated Text Summarization/003 Calculate Sentence Score.mp4 57.31 MB
    07 - Project 4 _ Automated Text Summarization/003 Calculate Sentence Score_en.vtt 6.55 KB
    07 - Project 4 _ Automated Text Summarization/004 Extract summary of document.mp4 27.22 MB
    07 - Project 4 _ Automated Text Summarization/004 Extract summary of document_en.vtt 3.7 KB
    08 - Project 5 _ Twitter sentiment Analysis/001 Setting up Twitter Developer application.mp4 49.27 MB
    08 - Project 5 _ Twitter sentiment Analysis/001 Setting up Twitter Developer application_en.vtt 7.58 KB
    08 - Project 5 _ Twitter sentiment Analysis/002 Fetch Tweet from Tweeter server.mp4 30.95 MB
    08 - Project 5 _ Twitter sentiment Analysis/002 Fetch Tweet from Tweeter server_en.vtt 3.97 KB
    08 - Project 5 _ Twitter sentiment Analysis/003 Find Setiment from Tweets.mp4 74.24 MB
    08 - Project 5 _ Twitter sentiment Analysis/003 Find Setiment from Tweets_en.vtt 10.16 KB
    09 - Deep Learning Basics/001 The Neuron.mp4 102.03 MB
    09 - Deep Learning Basics/001 The Neuron_en.vtt 5.91 KB
    09 - Deep Learning Basics/002 Activation Function.mp4 156.73 MB
    09 - Deep Learning Basics/002 Activation Function_en.vtt 8.35 KB
    09 - Deep Learning Basics/003 Cost Function.mp4 51.76 MB
    09 - Deep Learning Basics/003 Cost Function_en.vtt 2.72 KB
    09 - Deep Learning Basics/004 Gradient Descent and Back-Propagation.mp4 74.79 MB
    09 - Deep Learning Basics/004 Gradient Descent and Back-Propagation_en.vtt 3.88 KB
    10 - Word Embeddings/001 Introduction to Word Embedding.mp4 146.36 MB
    10 - Word Embeddings/001 Introduction to Word Embedding_en.vtt 11.75 KB
    10 - Word Embeddings/002 Train Model for Embedding - I.mp4 71.44 MB
    10 - Word Embeddings/002 Train Model for Embedding - I_en.vtt 9.29 KB
    10 - Word Embeddings/003 Train Model for Embedding - II.mp4 50.48 MB
    10 - Word Embeddings/003 Train Model for Embedding - II_en.vtt 6.54 KB
    10 - Word Embeddings/004 Embeddings with Pretrained model.mp4 63.74 MB
    10 - Word Embeddings/004 Embeddings with Pretrained model_en.vtt 6.95 KB
    11 - Project 6 _ Text Classification with CNN/001 Convolutional Neural Network Part 1.mp4 96.3 MB
    11 - Project 6 _ Text Classification with CNN/001 Convolutional Neural Network Part 1_en.vtt 4.89 KB
    11 - Project 6 _ Text Classification with CNN/002 Convolutional Neural Network Part 2.mp4 81.14 MB
    11 - Project 6 _ Text Classification with CNN/002 Convolutional Neural Network Part 2_en.vtt 4.37 KB
    11 - Project 6 _ Text Classification with CNN/003 Spam Detection with CNN - I.mp4 91.43 MB
    11 - Project 6 _ Text Classification with CNN/003 Spam Detection with CNN - I_en.vtt 10.39 KB
    11 - Project 6 _ Text Classification with CNN/004 Spam Detection with CNN - II.mp4 77.97 MB
    11 - Project 6 _ Text Classification with CNN/004 Spam Detection with CNN - II_en.vtt 9.54 KB
    11 - Project 6 _ Text Classification with CNN/25153370-spam.csv 491.86 KB
    12 - Project 7 _ Text Classification with RNN/001 Introduction to Recurrent Neural Networks.mp4 39.58 MB
    12 - Project 7 _ Text Classification with RNN/001 Introduction to Recurrent Neural Networks_en.vtt 2.07 KB
    12 - Project 7 _ Text Classification with RNN/002 Vanishing Gradient Problem.mp4 38.91 MB
    12 - Project 7 _ Text Classification with RNN/002 Vanishing Gradient Problem_en.vtt 2.09 KB
    12 - Project 7 _ Text Classification with RNN/003 LSTM and GRU.mp4 59.87 MB
    12 - Project 7 _ Text Classification with RNN/003 LSTM and GRU_en.vtt 3.67 KB
    12 - Project 7 _ Text Classification with RNN/004 Spam Detection with RNN.mp4 64.36 MB
    12 - Project 7 _ Text Classification with RNN/004 Spam Detection with RNN_en.vtt 6.74 KB
    12 - Project 7 _ Text Classification with RNN/25153382-spam.csv 491.86 KB
    13 - Project 8 _ Automatic Text Generation using TensorFlow, Keras and LSTM/001 Text Generation Part I.mp4 114.28 MB
    13 - Project 8 _ Automatic Text Generation using TensorFlow, Keras and LSTM/001 Text Generation Part I_en.vtt 12.56 KB
    13 - Project 8 _ Automatic Text Generation using TensorFlow, Keras and LSTM/002 Text Generation Part II.mp4 47.23 MB
    13 - Project 8 _ Automatic Text Generation using TensorFlow, Keras and LSTM/002 Text Generation Part II_en.vtt 6.34 KB
    14 - FastText Library for Text Classification/001 fasttext Installation steps [Video].mp4 8.11 MB
    14 - FastText Library for Text Classification/001 fasttext Installation steps [Video]_en.vtt 2.13 KB
    14 - FastText Library for Text Classification/002 fasttext Installation steps [Text].html 466 B
    14 - FastText Library for Text Classification/003 Virtual Box Installation.mp4 32.16 MB
    14 - FastText Library for Text Classification/003 Virtual Box Installation_en.vtt 5.86 KB
    14 - FastText Library for Text Classification/004 Create Linux Virtual Machine.mp4 46.38 MB
    14 - FastText Library for Text Classification/004 Create Linux Virtual Machine_en.vtt 8.66 KB
    14 - FastText Library for Text Classification/005 Install fasttext library.mp4 43.12 MB
    14 - FastText Library for Text Classification/005 Install fasttext library_en.vtt 5.84 KB
    14 - FastText Library for Text Classification/006 Text Classification with Fasttext.mp4 106.38 MB
    14 - FastText Library for Text Classification/006 Text Classification with Fasttext_en.vtt 15.71 KB
    14 - FastText Library for Text Classification/27130276-reviews.txt 70.13 KB
    15 - Data analysis with Numpy/001 Introduction to NumPy.mp4 16.28 MB
    15 - Data analysis with Numpy/001 Introduction to NumPy_en.vtt 949 B
    15 - Data analysis with Numpy/002 Numpy Arrays Part 1.mp4 16.76 MB
    15 - Data analysis with Numpy/002 Numpy Arrays Part 1_en.vtt 3.23 KB
    15 - Data analysis with Numpy/003 Numpy Arrays Part 2.mp4 53.96 MB
    15 - Data analysis with Numpy/003 Numpy Arrays Part 2_en.vtt 8.95 KB
    15 - Data analysis with Numpy/004 Numpy Arrays Part 3.mp4 27.25 MB
    15 - Data analysis with Numpy/004 Numpy Arrays Part 3_en.vtt 4.24 KB
    15 - Data analysis with Numpy/005 Numpy Indexing and Selection Part 1.mp4 45.13 MB
    15 - Data analysis with Numpy/005 Numpy Indexing and Selection Part 1_en.vtt 6.8 KB
    15 - Data analysis with Numpy/006 Numpy Indexing and Selection Part 2.mp4 26.6 MB
    15 - Data analysis with Numpy/006 Numpy Indexing and Selection Part 2_en.vtt 4.17 KB
    15 - Data analysis with Numpy/007 Numpy Operations.mp4 29.25 MB
    15 - Data analysis with Numpy/007 Numpy Operations_en.vtt 3.4 KB
    16 - Data analysis with Pandas/001 Pandas Introduction.mp4 12.51 MB
    16 - Data analysis with Pandas/001 Pandas Introduction_en.vtt 707 B
    16 - Data analysis with Pandas/002 Pandas Series.mp4 69.99 MB
    16 - Data analysis with Pandas/002 Pandas Series_en.vtt 10.02 KB
    16 - Data analysis with Pandas/003 DataFrames Part 1.mp4 77.99 MB
    16 - Data analysis with Pandas/003 DataFrames Part 1_en.vtt 11.05 KB
    16 - Data analysis with Pandas/004 DataFrames Part 2.mp4 55.28 MB
    16 - Data analysis with Pandas/004 DataFrames Part 2_en.vtt 9.46 KB
    16 - Data analysis with Pandas/005 DataFrames Part 3.mp4 56.42 MB
    16 - Data analysis with Pandas/005 DataFrames Part 3_en.vtt 8.84 KB
    16 - Data analysis with Pandas/006 Missing Data.mp4 35.28 MB
    16 - Data analysis with Pandas/006 Missing Data_en.vtt 6.29 KB
    16 - Data analysis with Pandas/007 Groupby Method.mp4 49.1 MB
    16 - Data analysis with Pandas/007 Groupby Method_en.vtt 7.11 KB
    16 - Data analysis with Pandas/008 Merging, Joining and Concatenating DataFrames.mp4 57.23 MB
    16 - Data analysis with Pandas/008 Merging, Joining and Concatenating DataFrames_en.vtt 7.6 KB
    16 - Data analysis with Pandas/009 Pandas Operations.mp4 38.8 MB
    16 - Data analysis with Pandas/009 Pandas Operations_en.vtt 7.27 KB
    16 - Data analysis with Pandas/010 Reading and Writing Files in Pandas.mp4 46.47 MB
    16 - Data analysis with Pandas/010 Reading and Writing Files in Pandas_en.vtt 7.12 KB
    17 - Data Visualization with Matplotlib/001 Matplotlib Part 1 - Functional Method.mp4 90.64 MB
    17 - Data Visualization with Matplotlib/001 Matplotlib Part 1 - Functional Method_en.vtt 9.91 KB
    17 - Data Visualization with Matplotlib/002 Matplotlib Part 1 - Object Oriented Method.mp4 44.01 MB
    17 - Data Visualization with Matplotlib/002 Matplotlib Part 1 - Object Oriented Method_en.vtt 5.89 KB
    17 - Data Visualization with Matplotlib/003 Matplotlib Part 2 - Subplots Method.mp4 37.77 MB
    17 - Data Visualization with Matplotlib/003 Matplotlib Part 2 - Subplots Method_en.vtt 4.92 KB
    17 - Data Visualization with Matplotlib/004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI.mp4 53.94 MB
    17 - Data Visualization with Matplotlib/004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI_en.vtt 6.72 KB
    17 - Data Visualization with Matplotlib/005 Matplotlib Part 3.mp4 50.06 MB
    17 - Data Visualization with Matplotlib/005 Matplotlib Part 3_en.vtt 4.75 KB
    17 - Data Visualization with Matplotlib/006 Matplotlib Part 4.mp4 91.2 MB
    17 - Data Visualization with Matplotlib/006 Matplotlib Part 4_en.vtt 8.57 KB
    18 - Appendix/001 Text File Processing - I.mp4 39.69 MB
    18 - Appendix/001 Text File Processing - I_en.vtt 7.76 KB
    18 - Appendix/002 Text File Processing - II.mp4 57.96 MB
    18 - Appendix/002 Text File Processing - II_en.vtt 8.19 KB
    18 - Appendix/003 Text File Processing - III.mp4 54.77 MB
    18 - Appendix/003 Text File Processing - III_en.vtt 11.12 KB
    18 - Appendix/004 Text File Processing - IV.mp4 15.49 MB
    18 - Appendix/004 Text File Processing - IV_en.vtt 3.43 KB
    18 - Appendix/005 Working with PDF File - I.mp4 45.56 MB
    18 - Appendix/005 Working with PDF File - I_en.vtt 8.31 KB
    18 - Appendix/25154140-sample.pdf 2.96 KB

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