Udemy - Natural Language Processing (NLP) in Python with 8 Projec...

Files:

• 001 Course Overview.mp4 (35.4 MB)
• 001 Course Overview_en.vtt (4.0 KB)
• 002 Reviews UPDATE.mp4 (5.4 MB)
• 002 Reviews UPDATE_en.vtt (1.6 KB)
• 003 Introduction to NLP.mp4 (133.5 MB)
• 003 Introduction to NLP_en.vtt (7.4 KB)
• 004 Course FAQs.html (1.6 KB)

• 001 Course Installation.mp4 (81.1 MB)
• 001 Course Installation_en.vtt (12.2 KB)
• 002 Local Installation Steps.html (0.8 KB)
• 003 Links to Notebooks (As taught in Lectures).html (3.3 KB)
• 004 Links to Notebooks (More explanatory notebook for refrence).html (3.4 KB)
• 24056952-requirements.txt (0.0 KB)
• external-assets-links.txt (0.1 KB)

• 001 Section _ Introduction.mp4 (49.0 MB)
• 001 Section _ Introduction_en.vtt (2.8 KB)
• 002 Tokenization Basic Part - 1.mp4 (73.1 MB)
• 002 Tokenization Basic Part - 1_en.vtt (9.8 KB)
• 003 Tokenization Basic Part - 2.mp4 (50.3 MB)
• 003 Tokenization Basic Part - 2_en.vtt (8.4 KB)
• 004 Tokenization Basic Part - 3.mp4 (12.7 MB)
• 004 Tokenization Basic Part - 3_en.vtt (3.2 KB)
• 005 Stemming & Lemmatization - 1.mp4 (26.8 MB)
• 005 Stemming & Lemmatization - 1_en.vtt (6.6 KB)
• 006 Stemming & Lemmatization - 2.mp4 (23.5 MB)
• 006 Stemming & Lemmatization - 2_en.vtt (4.9 KB)
• 007 Stop Words.mp4 (32.7 MB)
• 007 Stop Words_en.vtt (6.7 KB)
• 008 Vocabulary and Matching Part - 1.mp4 (84.4 MB)
• 008 Vocabulary and Matching Part - 1_en.vtt (9.7 KB)
• 009 Vocabulary and Matching Part - 2 (Rule Based).mp4 (72.8 MB)
• 009 Vocabulary and Matching Part - 2 (Rule Based)_en.vtt (8.8 KB)
• 010 Vocabulary and Matching Part - 3 (Phrase Based).mp4 (33.1 MB)
• 010 Vocabulary and Matching Part - 3 (Phrase Based)_en.vtt (4.0 KB)
• 011 Parts of Speech Tagging.mp4 (55.7 MB)
• 011 Parts of Speech Tagging_en.vtt (8.0 KB)
• 012 Named Entity Recognition.mp4 (82.9 MB)
• 012 Named Entity Recognition_en.vtt (12.9 KB)
• 013 Sentence Segmentation.mp4 (52.9 MB)
• 013 Sentence Segmentation_en.vtt (9.0 KB)
• external-assets-links.txt (0.2 KB)

• 001 Business Problem & Dataset.mp4 (42.6 MB)
• 001 Business Problem & Dataset_en.vtt (8.0 KB)
• 002 Data Exploration & Preprocessing.mp4 (50.3 MB)
• 002 Data Exploration & Preprocessing_en.vtt (9.5 KB)
• 003 Split Data in Training & Testing.mp4 (40.2 MB)
• 003 Split Data in Training & Testing_en.vtt (6.8 KB)
• 004 Apply Random Forest.mp4 (63.9 MB)
• 004 Apply Random Forest_en.vtt (12.0 KB)
• 005 Apply Support vector Machine (SVM).mp4 (33.8 MB)
• 005 Apply Support vector Machine (SVM)_en.vtt (4.9 KB)
• 006 Predict Testing Data both model.mp4 (16.2 MB)
• 006 Predict Testing Data both model_en.vtt (3.7 KB)
• 25152746-spam.tsv (501.8 KB)
• external-assets-links.txt (0.1 KB)

• 001 Business Problem.mp4 (25.7 MB)
• 001 Business Problem_en.vtt (4.5 KB)
• 002 Cleaning Text Data with NLTK - 1.mp4 (49.6 MB)
• 002 Cleaning Text Data with NLTK - 1_en.vtt (9.0 KB)
• 003 Cleaning Text Data with NLTK - 2.mp4 (51.3 MB)
• 003 Cleaning Text Data with NLTK - 2_en.vtt (6.9 KB)
• 004 Bag of Word Model.mp4 (70.0 MB)
• 004 Bag of Word Model_en.vtt (10.4 KB)
• 005 Apply Naive Bayes Algorithm.mp4 (28.8 MB)
• 005 Apply Naive Bayes Algorithm_en.vtt (4.6 KB)
• 25152756-Restaurant-Reviews.tsv (59.9 KB)

• 001 Review Classification Part -1.mp4 (79.4 MB)
• 001 Review Classification Part -1_en.vtt (10.9 KB)
• 002 Review Classification Part - 2.mp4 (72.4 MB)
• 002 Review Classification Part - 2_en.vtt (9.2 KB)
• 25152800-amazon-cells-labelled.txt (56.9 KB)
• 25152804-imdb-labelled.txt (83.3 KB)
• 25152808-yelp-labelled.txt (59.9 KB)

• 001 Importing the libraries and Dataset.mp4 (61.1 MB)
• 001 Importing the libraries and Dataset_en.vtt (7.7 KB)
• 002 Create Word Frequency Counter.mp4 (42.4 MB)
• 002 Create Word Frequency Counter_en.vtt (7.4 KB)
• 003 Calculate Sentence Score.mp4 (57.3 MB)
• 003 Calculate Sentence Score_en.vtt (6.6 KB)
• 004 Extract summary of document.mp4 (27.2 MB)
• 004 Extract summary of document_en.vtt (3.7 KB)

• 001 Setting up Twitter Developer application.mp4 (49.3 MB)
• 001 Setting up Twitter Developer application_en.vtt (7.6 KB)
• 002 Fetch Tweet from Tweeter server.mp4 (31.0 MB)
• 002 Fetch Tweet from Tweeter server_en.vtt (4.0 KB)
• 003 Find Setiment from Tweets.mp4 (74.2 MB)
• 003 Find Setiment from Tweets_en.vtt (10.2 KB)

• 001 The Neuron.mp4 (102.0 MB)
• 001 The Neuron_en.vtt (5.9 KB)
• 002 Activation Function.mp4 (156.7 MB)
• 002 Activation Function_en.vtt (8.4 KB)
• 003 Cost Function.mp4 (51.8 MB)
• 003 Cost Function_en.vtt (2.7 KB)
• 004 Gradient Descent and Back-Propagation.mp4 (74.8 MB)
• 004 Gradient Descent and Back-Propagation_en.vtt (3.9 KB)

• 001 Introduction to Word Embedding.mp4 (146.4 MB)
• 001 Introduction to Word Embedding_en.vtt (11.7 KB)
• 002 Train Model for Embedding - I.mp4 (71.4 MB)
• 002 Train Model for Embedding - I_en.vtt (9.3 KB)
• 003 Train Model for Embedding - II.mp4 (50.5 MB)
• 003 Train Model for Embedding - II_en.vtt (6.5 KB)
• 004 Embeddings with Pretrained model.mp4 (63.7 MB)
• 004 Embeddings with Pretrained model_en.vtt (6.9 KB)
• [Tutorialsplanet.NET].url (0.1 KB)

• 001 Convolutional Neural Network Part 1.mp4 (96.3 MB)
• 001 Convolutional Neural Network Part 1_en.vtt (4.9 KB)
• 002 Convolutional Neural Network Part 2.mp4 (81.1 MB)
• 002 Convolutional Neural Network Part 2_en.vtt (4.4 KB)
• 003 Spam Detection with CNN - I.mp4 (91.4 MB)
• 003 Spam Detection with CNN - I_en.vtt (10.4 KB)
• 004 Spam Detection with CNN - II.mp4 (78.0 MB)
• 004 Spam Detection with CNN - II_en.vtt (9.5 KB)
• 25153370-spam.csv (491.9 KB)

• 001 Introduction to Recurrent Neural Networks.mp4 (39.6 MB)
• 001 Introduction to Recurrent Neural Networks_en.vtt (2.1 KB)
• 002 Vanishing Gradient Problem.mp4 (38.9 MB)
• 002 Vanishing Gradient Problem_en.vtt (2.1 KB)
• 003 LSTM and GRU.mp4 (59.9 MB)
• 003 LSTM and GRU_en.vtt (3.7 KB)
• 004 Spam Detection with RNN.mp4 (64.4 MB)
• 004 Spam Detection with RNN_en.vtt (6.7 KB)
• 25153382-spam.csv (491.9 KB)

• 001 Text Generation Part I.mp4 (114.3 MB)
• 001 Text Generation Part I_en.vtt (12.6 KB)
• 002 Text Generation Part II.mp4 (47.2 MB)
• 002 Text Generation Part II_en.vtt (6.3 KB)

• 001 fasttext Installation steps [Video].mp4 (8.1 MB)
• 001 fasttext Installation steps [Video]_en.vtt (2.1 KB)
• 002 fasttext Installation steps [Text].html (0.5 KB)
• 003 Virtual Box Installation.mp4 (32.2 MB)
• 003 Virtual Box Installation_en.vtt (5.9 KB)
• 004 Create Linux Virtual Machine.mp4 (46.4 MB)
• 004 Create Linux Virtual Machine_en.vtt (8.7 KB)
• 005 Install fasttext library.mp4 (43.1 MB)
• 005 Install fasttext library_en.vtt (5.8 KB)
• 006 Text Classification with Fasttext.mp4 (106.4 MB)
• 006 Text Classification with Fasttext_en.vtt (15.7 KB)
• 27130276-reviews.txt (70.1 KB)

• 001 Introduction to NumPy.mp4 (16.3 MB)
• 001 Introduction to NumPy_en.vtt (0.9 KB)
• 002 Numpy Arrays Part 1.mp4 (16.8 MB)
• 002 Numpy Arrays Part 1_en.vtt (3.2 KB)
• 003 Numpy Arrays Part 2.mp4 (54.0 MB)
• 003 Numpy Arrays Part 2_en.vtt (8.9 KB)
• 004 Numpy Arrays Part 3.mp4 (27.3 MB)
• 004 Numpy Arrays Part 3_en.vtt (4.2 KB)
• 005 Numpy Indexing and Selection Part 1.mp4 (45.1 MB)
• 005 Numpy Indexing and Selection Part 1_en.vtt (6.8 KB)
• 006 Numpy Indexing and Selection Part 2.mp4 (26.6 MB)
• 006 Numpy Indexing and Selection Part 2_en.vtt (4.2 KB)
• 007 Numpy Operations.mp4 (29.2 MB)
• 007 Numpy Operations_en.vtt (3.4 KB)

• 001 Pandas Introduction.mp4 (12.5 MB)
• 001 Pandas Introduction_en.vtt (0.7 KB)
• 002 Pandas Series.mp4 (70.0 MB)
• 002 Pandas Series_en.vtt (10.0 KB)
• 003 DataFrames Part 1.mp4 (78.0 MB)
• 003 DataFrames Part 1_en.vtt (11.1 KB)
• 004 DataFrames Part 2.mp4 (55.3 MB)
• 004 DataFrames Part 2_en.vtt (9.5 KB)
• 005 DataFrames Part 3.mp4 (56.4 MB)
• 005 DataFrames Part 3_en.vtt (8.8 KB)
• 006 Missing Data.mp4 (35.3 MB)
• 006 Missing Data_en.vtt (6.3 KB)
• 007 Groupby Method.mp4 (49.1 MB)
• 007 Groupby Method_en.vtt (7.1 KB)
• 008 Merging, Joining and Concatenating DataFrames.mp4 (57.2 MB)
• 008 Merging, Joining and Concatenating DataFrames_en.vtt (7.6 KB)
• 009 Pandas Operations.mp4 (38.8 MB)
• 009 Pandas Operations_en.vtt (7.3 KB)
• 010 Reading and Writing Files in Pandas.mp4 (46.5 MB)
• 010 Reading and Writing Files in Pandas_en.vtt (7.1 KB)

• 001 Matplotlib Part 1 - Functional Method.mp4 (90.6 MB)
• 001 Matplotlib Part 1 - Functional Method_en.vtt (9.9 KB)
• 002 Matplotlib Part 1 - Object Oriented Method.mp4 (44.0 MB)
• 002 Matplotlib Part 1 - Object Oriented Method_en.vtt (5.9 KB)
• 003 Matplotlib Part 2 - Subplots Method.mp4 (37.8 MB)
• 003 Matplotlib Part 2 - Subplots Method_en.vtt (4.9 KB)
• 004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI.mp4 (53.9 MB)
• 004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI_en.vtt (6.7 KB)
• 005 Matplotlib Part 3.mp4 (50.1 MB)
• 005 Matplotlib Part 3_en.vtt (4.8 KB)
• 006 Matplotlib Part 4.mp4 (91.2 MB)
• 006 Matplotlib Part 4_en.vtt (8.6 KB)

• 001 Text File Processing - I.mp4 (39.7 MB)
• 001 Text File Processing - I_en.vtt (7.8 KB)
• 002 Text File Processing - II.mp4 (58.0 MB)
• 002 Text File Processing - II_en.vtt (8.2 KB)
• 003 Text File Processing - III.mp4 (54.8 MB)
• 003 Text File Processing - III_en.vtt (11.1 KB)
• 004 Text File Processing - IV.mp4 (15.5 MB)
• 004 Text File Processing - IV_en.vtt (3.4 KB)
• 005 Working with PDF File - I.mp4 (45.6 MB)
• 005 Working with PDF File - I_en.vtt (8.3 KB)
• 25154140-sample.pdf (3.0 KB)

• [Tutorialsplanet.NET].url (0.1 KB)