[Tutorialsplanet.NET] Udemy - Natural Language Processing (NLP) in Python with 8 Projects

Torrent Hash:
E2D3CFC417710B4DEF6154EC3C646C2D048BBAFB
Number of Files:
196
Content Size:
4.72GB
Convert On:
2022-03-26
Magnet Link:
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File Name
Size
01 - Welcome/001 Course Overview.mp4
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01 - Welcome/001 Course Overview_en.vtt
4KB
01 - Welcome/002 Reviews UPDATE.mp4
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01 - Welcome/002 Reviews UPDATE_en.vtt
1.63KB
01 - Welcome/003 Introduction to NLP.mp4
133.54MB
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01 - Welcome/003 Introduction to NLP_en.vtt
7.43KB
01 - Welcome/004 Course FAQs.html
1.58KB
02 - Installation & Setup/001 Course Installation.mp4
81.09MB
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02 - Installation & Setup/001 Course Installation_en.vtt
12.23KB
02 - Installation & Setup/002 Local Installation Steps.html
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02 - Installation & Setup/003 Links to Notebooks (As taught in Lectures).html
3.27KB
02 - Installation & Setup/004 Links to Notebooks (More explanatory notebook for refrence).html
3.38KB
02 - Installation & Setup/24056952-requirements.txt
12B
02 - Installation & Setup/external-assets-links.txt
99B
03 - Basics of Natural Language Processing/001 Section _ Introduction.mp4
48.97MB
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2.77KB
03 - Basics of Natural Language Processing/002 Tokenization Basic Part - 1.mp4
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03 - Basics of Natural Language Processing/002 Tokenization Basic Part - 1_en.vtt
9.8KB
03 - Basics of Natural Language Processing/003 Tokenization Basic Part - 2.mp4
50.31MB
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03 - Basics of Natural Language Processing/003 Tokenization Basic Part - 2_en.vtt
8.4KB
03 - Basics of Natural Language Processing/004 Tokenization Basic Part - 3.mp4
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03 - Basics of Natural Language Processing/004 Tokenization Basic Part - 3_en.vtt
3.21KB
03 - Basics of Natural Language Processing/005 Stemming & Lemmatization - 1.mp4
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03 - Basics of Natural Language Processing/005 Stemming & Lemmatization - 1_en.vtt
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03 - Basics of Natural Language Processing/006 Stemming & Lemmatization - 2.mp4
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03 - Basics of Natural Language Processing/006 Stemming & Lemmatization - 2_en.vtt
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03 - Basics of Natural Language Processing/007 Stop Words.mp4
32.74MB
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03 - Basics of Natural Language Processing/007 Stop Words_en.vtt
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03 - Basics of Natural Language Processing/008 Vocabulary and Matching Part - 1.mp4
84.41MB
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03 - Basics of Natural Language Processing/008 Vocabulary and Matching Part - 1_en.vtt
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03 - Basics of Natural Language Processing/009 Vocabulary and Matching Part - 2 (Rule Based).mp4
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03 - Basics of Natural Language Processing/011 Parts of Speech Tagging.mp4
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03 - Basics of Natural Language Processing/013 Sentence Segmentation.mp4
52.93MB
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03 - Basics of Natural Language Processing/013 Sentence Segmentation_en.vtt
8.97KB
03 - Basics of Natural Language Processing/external-assets-links.txt
226B
04 - Project 1 _ Spam Message Classification/001 Business Problem & Dataset.mp4
42.61MB
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04 - Project 1 _ Spam Message Classification/001 Business Problem & Dataset_en.vtt
7.98KB
04 - Project 1 _ Spam Message Classification/002 Data Exploration & Preprocessing.mp4
50.3MB
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04 - Project 1 _ Spam Message Classification/002 Data Exploration & Preprocessing_en.vtt
9.54KB
04 - Project 1 _ Spam Message Classification/003 Split Data in Training & Testing.mp4
40.23MB
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04 - Project 1 _ Spam Message Classification/003 Split Data in Training & Testing_en.vtt
6.79KB
04 - Project 1 _ Spam Message Classification/004 Apply Random Forest.mp4
63.89MB
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04 - Project 1 _ Spam Message Classification/004 Apply Random Forest_en.vtt
11.99KB
04 - Project 1 _ Spam Message Classification/005 Apply Support vector Machine (SVM).mp4
33.81MB
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04 - Project 1 _ Spam Message Classification/005 Apply Support vector Machine (SVM)_en.vtt
4.88KB
04 - Project 1 _ Spam Message Classification/006 Predict Testing Data both model.mp4
16.18MB
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04 - Project 1 _ Spam Message Classification/006 Predict Testing Data both model_en.vtt
3.69KB
04 - Project 1 _ Spam Message Classification/25152746-spam.tsv
501.84KB
04 - Project 1 _ Spam Message Classification/external-assets-links.txt
134B
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/001 Business Problem.mp4
25.74MB
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05 - Project 2 _ Restaurant Review Prediction (Good or bad)/001 Business Problem_en.vtt
4.5KB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/002 Cleaning Text Data with NLTK - 1.mp4
49.61MB
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05 - Project 2 _ Restaurant Review Prediction (Good or bad)/002 Cleaning Text Data with NLTK - 1_en.vtt
8.99KB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/003 Cleaning Text Data with NLTK - 2.mp4
51.26MB
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05 - Project 2 _ Restaurant Review Prediction (Good or bad)/003 Cleaning Text Data with NLTK - 2_en.vtt
6.85KB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/004 Bag of Word Model.mp4
70.04MB
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05 - Project 2 _ Restaurant Review Prediction (Good or bad)/004 Bag of Word Model_en.vtt
10.44KB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/005 Apply Naive Bayes Algorithm.mp4
28.76MB
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05 - Project 2 _ Restaurant Review Prediction (Good or bad)/005 Apply Naive Bayes Algorithm_en.vtt
4.65KB
05 - Project 2 _ Restaurant Review Prediction (Good or bad)/25152756-Restaurant-Reviews.tsv
59.89KB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/001 Review Classification Part -1.mp4
79.44MB
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06 - Project 3 _ IMDB, Amazon and Yelp review Classification/001 Review Classification Part -1_en.vtt
10.88KB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/002 Review Classification Part - 2.mp4
72.4MB
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06 - Project 3 _ IMDB, Amazon and Yelp review Classification/002 Review Classification Part - 2_en.vtt
9.24KB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/25152800-amazon-cells-labelled.txt
56.86KB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/25152804-imdb-labelled.txt
83.29KB
06 - Project 3 _ IMDB, Amazon and Yelp review Classification/25152808-yelp-labelled.txt
59.88KB
07 - Project 4 _ Automated Text Summarization/001 Importing the libraries and Dataset.mp4
61.1MB
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07 - Project 4 _ Automated Text Summarization/001 Importing the libraries and Dataset_en.vtt
7.65KB
07 - Project 4 _ Automated Text Summarization/002 Create Word Frequency Counter.mp4
42.4MB
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07 - Project 4 _ Automated Text Summarization/002 Create Word Frequency Counter_en.vtt
7.43KB
07 - Project 4 _ Automated Text Summarization/003 Calculate Sentence Score.mp4
57.31MB
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07 - Project 4 _ Automated Text Summarization/003 Calculate Sentence Score_en.vtt
6.55KB
07 - Project 4 _ Automated Text Summarization/004 Extract summary of document.mp4
27.22MB
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07 - Project 4 _ Automated Text Summarization/004 Extract summary of document_en.vtt
3.7KB
08 - Project 5 _ Twitter sentiment Analysis/001 Setting up Twitter Developer application.mp4
49.27MB
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08 - Project 5 _ Twitter sentiment Analysis/001 Setting up Twitter Developer application_en.vtt
7.58KB
08 - Project 5 _ Twitter sentiment Analysis/002 Fetch Tweet from Tweeter server.mp4
30.95MB
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08 - Project 5 _ Twitter sentiment Analysis/002 Fetch Tweet from Tweeter server_en.vtt
3.97KB
08 - Project 5 _ Twitter sentiment Analysis/003 Find Setiment from Tweets.mp4
74.24MB
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08 - Project 5 _ Twitter sentiment Analysis/003 Find Setiment from Tweets_en.vtt
10.16KB
09 - Deep Learning Basics/001 The Neuron.mp4
102.03MB
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09 - Deep Learning Basics/001 The Neuron_en.vtt
5.91KB
09 - Deep Learning Basics/002 Activation Function.mp4
156.73MB
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09 - Deep Learning Basics/002 Activation Function_en.vtt
8.35KB
09 - Deep Learning Basics/003 Cost Function.mp4
51.76MB
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09 - Deep Learning Basics/003 Cost Function_en.vtt
2.72KB
09 - Deep Learning Basics/004 Gradient Descent and Back-Propagation.mp4
74.79MB
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09 - Deep Learning Basics/004 Gradient Descent and Back-Propagation_en.vtt
3.88KB
10 - Word Embeddings/001 Introduction to Word Embedding.mp4
146.36MB
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10 - Word Embeddings/001 Introduction to Word Embedding_en.vtt
11.75KB
10 - Word Embeddings/002 Train Model for Embedding - I.mp4
71.44MB
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10 - Word Embeddings/002 Train Model for Embedding - I_en.vtt
9.29KB
10 - Word Embeddings/003 Train Model for Embedding - II.mp4
50.48MB
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10 - Word Embeddings/003 Train Model for Embedding - II_en.vtt
6.54KB
10 - Word Embeddings/004 Embeddings with Pretrained model.mp4
63.74MB
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10 - Word Embeddings/004 Embeddings with Pretrained model_en.vtt
6.95KB
10 - Word Embeddings/[Tutorialsplanet.NET].url
128B
11 - Project 6 _ Text Classification with CNN/001 Convolutional Neural Network Part 1.mp4
96.3MB
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11 - Project 6 _ Text Classification with CNN/001 Convolutional Neural Network Part 1_en.vtt
4.89KB
11 - Project 6 _ Text Classification with CNN/002 Convolutional Neural Network Part 2.mp4
81.14MB
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11 - Project 6 _ Text Classification with CNN/002 Convolutional Neural Network Part 2_en.vtt
4.37KB
11 - Project 6 _ Text Classification with CNN/003 Spam Detection with CNN - I.mp4
91.43MB
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11 - Project 6 _ Text Classification with CNN/003 Spam Detection with CNN - I_en.vtt
10.39KB
11 - Project 6 _ Text Classification with CNN/004 Spam Detection with CNN - II.mp4
77.97MB
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11 - Project 6 _ Text Classification with CNN/004 Spam Detection with CNN - II_en.vtt
9.54KB
11 - Project 6 _ Text Classification with CNN/25153370-spam.csv
491.86KB
12 - Project 7 _ Text Classification with RNN/001 Introduction to Recurrent Neural Networks.mp4
39.58MB
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12 - Project 7 _ Text Classification with RNN/001 Introduction to Recurrent Neural Networks_en.vtt
2.07KB
12 - Project 7 _ Text Classification with RNN/002 Vanishing Gradient Problem.mp4
38.91MB
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2.09KB
12 - Project 7 _ Text Classification with RNN/003 LSTM and GRU.mp4
59.87MB
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3.67KB
12 - Project 7 _ Text Classification with RNN/004 Spam Detection with RNN.mp4
64.36MB
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6.74KB
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491.86KB
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114.28MB
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16 - Data analysis with Pandas/001 Pandas Introduction_en.vtt
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16 - Data analysis with Pandas/002 Pandas Series.mp4
69.99MB
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16 - Data analysis with Pandas/002 Pandas Series_en.vtt
10.02KB
16 - Data analysis with Pandas/003 DataFrames Part 1.mp4
77.99MB
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11.05KB
16 - Data analysis with Pandas/004 DataFrames Part 2.mp4
55.28MB
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9.46KB
16 - Data analysis with Pandas/005 DataFrames Part 3.mp4
56.42MB
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8.84KB
16 - Data analysis with Pandas/006 Missing Data.mp4
35.28MB
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6.29KB
16 - Data analysis with Pandas/007 Groupby Method.mp4
49.1MB
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7.11KB
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57.23MB
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7.6KB
16 - Data analysis with Pandas/009 Pandas Operations.mp4
38.8MB
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7.27KB
16 - Data analysis with Pandas/010 Reading and Writing Files in Pandas.mp4
46.47MB
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7.12KB
17 - Data Visualization with Matplotlib/001 Matplotlib Part 1 - Functional Method.mp4
90.64MB
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9.91KB
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44.01MB
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5.89KB
17 - Data Visualization with Matplotlib/003 Matplotlib Part 2 - Subplots Method.mp4
37.77MB
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4.92KB
17 - Data Visualization with Matplotlib/004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI.mp4
53.94MB
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17 - Data Visualization with Matplotlib/004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI_en.vtt
6.72KB
17 - Data Visualization with Matplotlib/005 Matplotlib Part 3.mp4
50.06MB
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4.75KB
17 - Data Visualization with Matplotlib/006 Matplotlib Part 4.mp4
91.2MB
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18 - Appendix/001 Text File Processing - I.mp4
39.69MB
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18 - Appendix/001 Text File Processing - I_en.vtt
7.76KB
18 - Appendix/002 Text File Processing - II.mp4
57.96MB
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18 - Appendix/002 Text File Processing - II_en.vtt
8.19KB
18 - Appendix/003 Text File Processing - III.mp4
54.77MB
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18 - Appendix/003 Text File Processing - III_en.vtt
11.12KB
18 - Appendix/004 Text File Processing - IV.mp4
15.49MB
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18 - Appendix/004 Text File Processing - IV_en.vtt
3.43KB
18 - Appendix/005 Working with PDF File - I.mp4
45.56MB
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18 - Appendix/005 Working with PDF File - I_en.vtt
8.31KB
18 - Appendix/25154140-sample.pdf
2.96KB
[Tutorialsplanet.NET].url
128B

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