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

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File Name
Size
01 - Welcome/001 Course Overview.mp4
35 MB
01 - Welcome/001 Course Overview_en.vtt
4.0 kB
01 - Welcome/002 Reviews UPDATE.mp4
5.4 MB
01 - Welcome/002 Reviews UPDATE_en.vtt
1.6 kB
01 - Welcome/003 Introduction to NLP.mp4
134 MB
01 - Welcome/003 Introduction to NLP_en.vtt
7.4 kB
01 - Welcome/004 Course FAQs.html
1.6 kB
02 - Installation & Setup/001 Course Installation.mp4
81 MB
02 - Installation & Setup/001 Course Installation_en.vtt
12 kB
02 - Installation & Setup/002 Local Installation Steps.html
860 B
02 - Installation & Setup/003 Links to Notebooks (As taught in Lectures).html
3.3 kB
02 - Installation & Setup/004 Links to Notebooks (More explanatory notebook for refrence).html
3.4 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
49 MB
03 - Basics of Natural Language Processing/001 Section _ Introduction_en.vtt
2.8 kB
03 - Basics of Natural Language Processing/002 Tokenization Basic Part - 1.mp4
73 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 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
13 MB
03 - Basics of Natural Language Processing/004 Tokenization Basic Part - 3_en.vtt
3.2 kB
03 - Basics of Natural Language Processing/005 Stemming & Lemmatization - 1.mp4
27 MB
03 - Basics of Natural Language Processing/005 Stemming & Lemmatization - 1_en.vtt
6.6 kB
03 - Basics of Natural Language Processing/006 Stemming & Lemmatization - 2.mp4
24 MB
03 - Basics of Natural Language Processing/006 Stemming & Lemmatization - 2_en.vtt
4.9 kB
03 - Basics of Natural Language Processing/007 Stop Words.mp4
33 MB
03 - Basics of Natural Language Processing/007 Stop Words_en.vtt
6.7 kB
03 - Basics of Natural Language Processing/008 Vocabulary and Matching Part - 1.mp4
84 MB
03 - Basics of Natural Language Processing/008 Vocabulary and Matching Part - 1_en.vtt
9.7 kB
03 - Basics of Natural Language Processing/009 Vocabulary and Matching Part - 2 (Rule Based).mp4
73 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 MB
03 - Basics of Natural Language Processing/010 Vocabulary and Matching Part - 3 (Phrase Based)_en.vtt
4.0 kB
03 - Basics of Natural Language Processing/011 Parts of Speech Tagging.mp4
56 MB
03 - Basics of Natural Language Processing/011 Parts of Speech Tagging_en.vtt
8.0 kB
03 - Basics of Natural Language Processing/012 Named Entity Recognition.mp4
83 MB
03 - Basics of Natural Language Processing/012 Named Entity Recognition_en.vtt
13 kB
03 - Basics of Natural Language Processing/013 Sentence Segmentation.mp4
53 MB
03 - Basics of Natural Language Processing/013 Sentence Segmentation_en.vtt
9.0 kB
03 - Basics of Natural Language Processing/external-assets-links.txt
226 B
04 - Project 1 _ Spam Message Classification/001 Business Problem & Dataset.mp4
43 MB
04 - Project 1 _ Spam Message Classification/001 Business Problem & Dataset_en.vtt
8.0 kB
04 - Project 1 _ Spam Message Classification/002 Data Exploration & Preprocessing.mp4
50 MB
04 - Project 1 _ Spam Message Classification/002 Data Exploration & Preprocessing_en.vtt
9.5 kB
04 - Project 1 _ Spam Message Classification/003 Split Data in Training & Testing.mp4
40 MB
04 - Project 1 _ Spam Message Classification/003 Split Data in Training & Testing_en.vtt
6.8 kB
04 - Project 1 _ Spam Message Classification/004 Apply Random Forest.mp4
64 MB
04 - Project 1 _ Spam Message Classification/004 Apply Random Forest_en.vtt
12 kB
04 - Project 1 _ Spam Message Classification/005 Apply Support vector Machine (SVM).mp4
34 MB
04 - Project 1 _ Spam Message Classification/005 Apply Support vector Machine (SVM)_en.vtt
4.9 kB
04 - Project 1 _ Spam Message Classification/006 Predict Testing Data both model.mp4
16 MB
04 - Project 1 _ Spam Message Classification/006 Predict Testing Data both model_en.vtt
3.7 kB
04 - Project 1 _ Spam Message Classification/25152746-spam.tsv
502 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
26 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
50 MB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/002 Cleaning Text Data with NLTK - 1_en.vtt
9.0 kB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/003 Cleaning Text Data with NLTK - 2.mp4
51 MB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/003 Cleaning Text Data with NLTK - 2_en.vtt
6.9 kB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/004 Bag of Word Model.mp4
70 MB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/004 Bag of Word Model_en.vtt
10 kB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/005 Apply Naive Bayes Algorithm.mp4
29 MB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/005 Apply Naive Bayes Algorithm_en.vtt
4.6 kB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/25152756-Restaurant-Reviews.tsv
60 kB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/001 Review Classification Part -1.mp4
79 MB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/001 Review Classification Part -1_en.vtt
11 kB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/002 Review Classification Part - 2.mp4
72 MB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/002 Review Classification Part - 2_en.vtt
9.2 kB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/25152800-amazon-cells-labelled.txt
57 kB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/25152804-imdb-labelled.txt
83 kB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/25152808-yelp-labelled.txt
60 kB
07 - Project 4 _ Automated Text Summarization/001 Importing the libraries and Dataset.mp4
61 MB
07 - Project 4 _ Automated Text Summarization/001 Importing the libraries and Dataset_en.vtt
7.7 kB
07 - Project 4 _ Automated Text Summarization/002 Create Word Frequency Counter.mp4
42 MB
07 - Project 4 _ Automated Text Summarization/002 Create Word Frequency Counter_en.vtt
7.4 kB
07 - Project 4 _ Automated Text Summarization/003 Calculate Sentence Score.mp4
57 MB
07 - Project 4 _ Automated Text Summarization/003 Calculate Sentence Score_en.vtt
6.6 kB
07 - Project 4 _ Automated Text Summarization/004 Extract summary of document.mp4
27 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 MB
08 - Project 5 _ Twitter sentiment Analysis/001 Setting up Twitter Developer application_en.vtt
7.6 kB
08 - Project 5 _ Twitter sentiment Analysis/002 Fetch Tweet from Tweeter server.mp4
31 MB
08 - Project 5 _ Twitter sentiment Analysis/002 Fetch Tweet from Tweeter server_en.vtt
4.0 kB
08 - Project 5 _ Twitter sentiment Analysis/003 Find Setiment from Tweets.mp4
74 MB
08 - Project 5 _ Twitter sentiment Analysis/003 Find Setiment from Tweets_en.vtt
10 kB
09 - Deep Learning Basics/001 The Neuron.mp4
102 MB
09 - Deep Learning Basics/001 The Neuron_en.vtt
5.9 kB
09 - Deep Learning Basics/002 Activation Function.mp4
157 MB
09 - Deep Learning Basics/002 Activation Function_en.vtt
8.4 kB
09 - Deep Learning Basics/003 Cost Function.mp4
52 MB
09 - Deep Learning Basics/003 Cost Function_en.vtt
2.7 kB
09 - Deep Learning Basics/004 Gradient Descent and Back-Propagation.mp4
75 MB
09 - Deep Learning Basics/004 Gradient Descent and Back-Propagation_en.vtt
3.9 kB
10 - Word Embeddings/001 Introduction to Word Embedding.mp4
146 MB
10 - Word Embeddings/001 Introduction to Word Embedding_en.vtt
12 kB
10 - Word Embeddings/002 Train Model for Embedding - I.mp4
71 MB
10 - Word Embeddings/002 Train Model for Embedding - I_en.vtt
9.3 kB
10 - Word Embeddings/003 Train Model for Embedding - II.mp4
50 MB
10 - Word Embeddings/003 Train Model for Embedding - II_en.vtt
6.5 kB
10 - Word Embeddings/004 Embeddings with Pretrained model.mp4
64 MB
10 - Word Embeddings/004 Embeddings with Pretrained model_en.vtt
6.9 kB
11 - Project 6 _ Text Classification with CNN/001 Convolutional Neural Network Part 1.mp4
96 MB
11 - Project 6 _ Text Classification with CNN/001 Convolutional Neural Network Part 1_en.vtt
4.9 kB
11 - Project 6 _ Text Classification with CNN/002 Convolutional Neural Network Part 2.mp4
81 MB
11 - Project 6 _ Text Classification with CNN/002 Convolutional Neural Network Part 2_en.vtt
4.4 kB
11 - Project 6 _ Text Classification with CNN/003 Spam Detection with CNN - I.mp4
91 MB
11 - Project 6 _ Text Classification with CNN/003 Spam Detection with CNN - I_en.vtt
10 kB
11 - Project 6 _ Text Classification with CNN/004 Spam Detection with CNN - II.mp4
78 MB
11 - Project 6 _ Text Classification with CNN/004 Spam Detection with CNN - II_en.vtt
9.5 kB
11 - Project 6 _ Text Classification with CNN/25153370-spam.csv
492 kB
12 - Project 7 _ Text Classification with RNN/001 Introduction to Recurrent Neural Networks.mp4
40 MB
12 - Project 7 _ Text Classification with RNN/001 Introduction to Recurrent Neural Networks_en.vtt
2.1 kB
12 - Project 7 _ Text Classification with RNN/002 Vanishing Gradient Problem.mp4
39 MB
12 - Project 7 _ Text Classification with RNN/002 Vanishing Gradient Problem_en.vtt
2.1 kB
12 - Project 7 _ Text Classification with RNN/003 LSTM and GRU.mp4
60 MB
12 - Project 7 _ Text Classification with RNN/003 LSTM and GRU_en.vtt
3.7 kB
12 - Project 7 _ Text Classification with RNN/004 Spam Detection with RNN.mp4
64 MB
12 - Project 7 _ Text Classification with RNN/004 Spam Detection with RNN_en.vtt
6.7 kB
12 - Project 7 _ Text Classification with RNN/25153382-spam.csv
492 kB
13 - Project 8 _ Automatic Text Generation using TensorFlow, Keras and LSTM/001 Text Generation Part I.mp4
114 MB
13 - Project 8 _ Automatic Text Generation using TensorFlow, Keras and LSTM/001 Text Generation Part I_en.vtt
13 kB
13 - Project 8 _ Automatic Text Generation using TensorFlow, Keras and LSTM/002 Text Generation Part II.mp4
47 MB
13 - Project 8 _ Automatic Text Generation using TensorFlow, Keras and LSTM/002 Text Generation Part II_en.vtt
6.3 kB
14 - FastText Library for Text Classification/001 fasttext Installation steps [Video].mp4
8.1 MB
14 - FastText Library for Text Classification/001 fasttext Installation steps [Video]_en.vtt
2.1 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 MB
14 - FastText Library for Text Classification/003 Virtual Box Installation_en.vtt
5.9 kB
14 - FastText Library for Text Classification/004 Create Linux Virtual Machine.mp4
46 MB
14 - FastText Library for Text Classification/004 Create Linux Virtual Machine_en.vtt
8.7 kB
14 - FastText Library for Text Classification/005 Install fasttext library.mp4
43 MB
14 - FastText Library for Text Classification/005 Install fasttext library_en.vtt
5.8 kB
14 - FastText Library for Text Classification/006 Text Classification with Fasttext.mp4
106 MB
14 - FastText Library for Text Classification/006 Text Classification with Fasttext_en.vtt
16 kB
14 - FastText Library for Text Classification/27130276-reviews.txt
70 kB
15 - Data analysis with Numpy/001 Introduction to NumPy.mp4
16 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
17 MB
15 - Data analysis with Numpy/002 Numpy Arrays Part 1_en.vtt
3.2 kB
15 - Data analysis with Numpy/003 Numpy Arrays Part 2.mp4
54 MB
15 - Data analysis with Numpy/003 Numpy Arrays Part 2_en.vtt
8.9 kB
15 - Data analysis with Numpy/004 Numpy Arrays Part 3.mp4
27 MB
15 - Data analysis with Numpy/004 Numpy Arrays Part 3_en.vtt
4.2 kB
15 - Data analysis with Numpy/005 Numpy Indexing and Selection Part 1.mp4
45 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
27 MB
15 - Data analysis with Numpy/006 Numpy Indexing and Selection Part 2_en.vtt
4.2 kB
15 - Data analysis with Numpy/007 Numpy Operations.mp4
29 MB
15 - Data analysis with Numpy/007 Numpy Operations_en.vtt
3.4 kB
16 - Data analysis with Pandas/001 Pandas Introduction.mp4
12 MB
16 - Data analysis with Pandas/001 Pandas Introduction_en.vtt
707 B
16 - Data analysis with Pandas/002 Pandas Series.mp4
70 MB
16 - Data analysis with Pandas/002 Pandas Series_en.vtt
10 kB
16 - Data analysis with Pandas/003 DataFrames Part 1.mp4
78 MB
16 - Data analysis with Pandas/003 DataFrames Part 1_en.vtt
11 kB
16 - Data analysis with Pandas/004 DataFrames Part 2.mp4
55 MB
16 - Data analysis with Pandas/004 DataFrames Part 2_en.vtt
9.5 kB
16 - Data analysis with Pandas/005 DataFrames Part 3.mp4
56 MB
16 - Data analysis with Pandas/005 DataFrames Part 3_en.vtt
8.8 kB
16 - Data analysis with Pandas/006 Missing Data.mp4
35 MB
16 - Data analysis with Pandas/006 Missing Data_en.vtt
6.3 kB
16 - Data analysis with Pandas/007 Groupby Method.mp4
49 MB
16 - Data analysis with Pandas/007 Groupby Method_en.vtt
7.1 kB
16 - Data analysis with Pandas/008 Merging, Joining and Concatenating DataFrames.mp4
57 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
39 MB
16 - Data analysis with Pandas/009 Pandas Operations_en.vtt
7.3 kB
16 - Data analysis with Pandas/010 Reading and Writing Files in Pandas.mp4
46 MB
16 - Data analysis with Pandas/010 Reading and Writing Files in Pandas_en.vtt
7.1 kB
17 - Data Visualization with Matplotlib/001 Matplotlib Part 1 - Functional Method.mp4
91 MB
17 - Data Visualization with Matplotlib/001 Matplotlib Part 1 - Functional Method_en.vtt
9.9 kB
17 - Data Visualization with Matplotlib/002 Matplotlib Part 1 - Object Oriented Method.mp4
44 MB
17 - Data Visualization with Matplotlib/002 Matplotlib Part 1 - Object Oriented Method_en.vtt
5.9 kB
17 - Data Visualization with Matplotlib/003 Matplotlib Part 2 - Subplots Method.mp4
38 MB
17 - Data Visualization with Matplotlib/003 Matplotlib Part 2 - Subplots Method_en.vtt
4.9 kB
17 - Data Visualization with Matplotlib/004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI.mp4
54 MB
17 - Data Visualization with Matplotlib/004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI_en.vtt
6.7 kB
17 - Data Visualization with Matplotlib/005 Matplotlib Part 3.mp4
50 MB
17 - Data Visualization with Matplotlib/005 Matplotlib Part 3_en.vtt
4.8 kB
17 - Data Visualization with Matplotlib/006 Matplotlib Part 4.mp4
91 MB
17 - Data Visualization with Matplotlib/006 Matplotlib Part 4_en.vtt
8.6 kB
18 - Appendix/001 Text File Processing - I.mp4
40 MB
18 - Appendix/001 Text File Processing - I_en.vtt
7.8 kB
18 - Appendix/002 Text File Processing - II.mp4
58 MB
18 - Appendix/002 Text File Processing - II_en.vtt
8.2 kB
18 - Appendix/003 Text File Processing - III.mp4
55 MB
18 - Appendix/003 Text File Processing - III_en.vtt
11 kB
18 - Appendix/004 Text File Processing - IV.mp4
16 MB
18 - Appendix/004 Text File Processing - IV_en.vtt
3.4 kB
18 - Appendix/005 Working with PDF File - I.mp4
46 MB
18 - Appendix/005 Working with PDF File - I_en.vtt
8.3 kB
18 - Appendix/25154140-sample.pdf
3.0 kB