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Tutorialsplanet NET Udemy Natural Language Processing NLP in Python with Projects

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

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Total Size

5.1 GB

Total Files

196

Last Seen

Hash

E2D3CFC417710B4DEF6154EC3C646C2D048BBAFB

/01 - Welcome/

001 Course Overview.mp4

37.2 MB

01 - Welcome/

001 Course Overview_en.vtt

4.1 KB

002 Reviews UPDATE.mp4

5.6 MB

002 Reviews UPDATE_en.vtt

1.7 KB

003 Introduction to NLP.mp4

140.0 MB

003 Introduction to NLP_en.vtt

7.6 KB

004 Course FAQs.html

1.6 KB

02 - Installation & Setup/

001 Course Installation.mp4

85.0 MB

001 Course Installation_en.vtt

12.5 KB

002 Local Installation Steps.html

0.9 KB

003 Links to Notebooks (As taught in Lectures).html

3.3 KB

004 Links to Notebooks (More explanatory notebook for refrence).html

3.5 KB

24056952-requirements.txt

0.0 KB

external-assets-links.txt

0.1 KB

03 - Basics of Natural Language Processing/

001 Section _ Introduction.mp4

51.4 MB

001 Section _ Introduction_en.vtt

2.8 KB

002 Tokenization Basic Part - 1.mp4

76.6 MB

002 Tokenization Basic Part - 1_en.vtt

10.0 KB

003 Tokenization Basic Part - 2.mp4

52.8 MB

003 Tokenization Basic Part - 2_en.vtt

8.6 KB

004 Tokenization Basic Part - 3.mp4

13.4 MB

004 Tokenization Basic Part - 3_en.vtt

3.3 KB

005 Stemming & Lemmatization - 1.mp4

28.1 MB

005 Stemming & Lemmatization - 1_en.vtt

6.7 KB

006 Stemming & Lemmatization - 2.mp4

24.6 MB

006 Stemming & Lemmatization - 2_en.vtt

5.1 KB

007 Stop Words.mp4

34.3 MB

007 Stop Words_en.vtt

6.9 KB

008 Vocabulary and Matching Part - 1.mp4

88.5 MB

008 Vocabulary and Matching Part - 1_en.vtt

9.9 KB

009 Vocabulary and Matching Part - 2 (Rule Based).mp4

76.4 MB

009 Vocabulary and Matching Part - 2 (Rule Based)_en.vtt

9.0 KB

010 Vocabulary and Matching Part - 3 (Phrase Based).mp4

34.7 MB

010 Vocabulary and Matching Part - 3 (Phrase Based)_en.vtt

4.1 KB

011 Parts of Speech Tagging.mp4

58.4 MB

011 Parts of Speech Tagging_en.vtt

8.2 KB

012 Named Entity Recognition.mp4

86.9 MB

012 Named Entity Recognition_en.vtt

13.2 KB

013 Sentence Segmentation.mp4

55.5 MB

013 Sentence Segmentation_en.vtt

9.2 KB

external-assets-links.txt

0.2 KB

04 - Project 1 _ Spam Message Classification/

001 Business Problem & Dataset.mp4

44.7 MB

001 Business Problem & Dataset_en.vtt

8.2 KB

002 Data Exploration & Preprocessing.mp4

52.7 MB

002 Data Exploration & Preprocessing_en.vtt

9.8 KB

003 Split Data in Training & Testing.mp4

42.2 MB

003 Split Data in Training & Testing_en.vtt

7.0 KB

004 Apply Random Forest.mp4

67.0 MB

004 Apply Random Forest_en.vtt

12.3 KB

005 Apply Support vector Machine (SVM).mp4

35.4 MB

005 Apply Support vector Machine (SVM)_en.vtt

5.0 KB

006 Predict Testing Data both model.mp4

17.0 MB

006 Predict Testing Data both model_en.vtt

3.8 KB

25152746-spam.tsv

513.9 KB

external-assets-links.txt

0.1 KB

05 - Project 2 _ Restaurant Review Prediction (Good or bad)/

001 Business Problem.mp4

27.0 MB

001 Business Problem_en.vtt

4.6 KB

002 Cleaning Text Data with NLTK - 1.mp4

52.0 MB

002 Cleaning Text Data with NLTK - 1_en.vtt

9.2 KB

003 Cleaning Text Data with NLTK - 2.mp4

53.8 MB

003 Cleaning Text Data with NLTK - 2_en.vtt

7.0 KB

004 Bag of Word Model.mp4

73.4 MB

004 Bag of Word Model_en.vtt

10.7 KB

005 Apply Naive Bayes Algorithm.mp4

30.2 MB

005 Apply Naive Bayes Algorithm_en.vtt

4.8 KB

25152756-Restaurant-Reviews.tsv

61.3 KB

06 - Project 3 _ IMDB, Amazon and Yelp review Classification/

001 Review Classification Part -1.mp4

83.3 MB

001 Review Classification Part -1_en.vtt

11.1 KB

002 Review Classification Part - 2.mp4

75.9 MB

002 Review Classification Part - 2_en.vtt

9.5 KB

25152800-amazon-cells-labelled.txt

58.2 KB

25152804-imdb-labelled.txt

85.3 KB

25152808-yelp-labelled.txt

61.3 KB

07 - Project 4 _ Automated Text Summarization/

001 Importing the libraries and Dataset.mp4

64.1 MB

001 Importing the libraries and Dataset_en.vtt

7.8 KB

002 Create Word Frequency Counter.mp4

44.5 MB

002 Create Word Frequency Counter_en.vtt

7.6 KB

003 Calculate Sentence Score.mp4

60.1 MB

003 Calculate Sentence Score_en.vtt

6.7 KB

004 Extract summary of document.mp4

28.5 MB

004 Extract summary of document_en.vtt

3.8 KB

08 - Project 5 _ Twitter sentiment Analysis/

001 Setting up Twitter Developer application.mp4

51.7 MB

001 Setting up Twitter Developer application_en.vtt

7.8 KB

002 Fetch Tweet from Tweeter server.mp4

32.5 MB

002 Fetch Tweet from Tweeter server_en.vtt

4.1 KB

003 Find Setiment from Tweets.mp4

77.8 MB

003 Find Setiment from Tweets_en.vtt

10.4 KB

09 - Deep Learning Basics/

001 The Neuron.mp4

107.0 MB

001 The Neuron_en.vtt

6.1 KB

002 Activation Function.mp4

164.3 MB

002 Activation Function_en.vtt

8.6 KB

003 Cost Function.mp4

54.3 MB

003 Cost Function_en.vtt

2.8 KB

004 Gradient Descent and Back-Propagation.mp4

78.4 MB

004 Gradient Descent and Back-Propagation_en.vtt

4.0 KB

10 - Word Embeddings/

001 Introduction to Word Embedding.mp4

153.5 MB

001 Introduction to Word Embedding_en.vtt

12.0 KB

002 Train Model for Embedding - I.mp4

74.9 MB

002 Train Model for Embedding - I_en.vtt

9.5 KB

003 Train Model for Embedding - II.mp4

52.9 MB

003 Train Model for Embedding - II_en.vtt

6.7 KB

004 Embeddings with Pretrained model.mp4

66.8 MB

004 Embeddings with Pretrained model_en.vtt

7.1 KB

[Tutorialsplanet.NET].url

0.1 KB

11 - Project 6 _ Text Classification with CNN/

001 Convolutional Neural Network Part 1.mp4

101.0 MB

001 Convolutional Neural Network Part 1_en.vtt

5.0 KB

002 Convolutional Neural Network Part 2.mp4

85.1 MB

002 Convolutional Neural Network Part 2_en.vtt

4.5 KB

003 Spam Detection with CNN - I.mp4

95.9 MB

003 Spam Detection with CNN - I_en.vtt

10.6 KB

004 Spam Detection with CNN - II.mp4

81.8 MB

004 Spam Detection with CNN - II_en.vtt

9.8 KB

25153370-spam.csv

503.7 KB

12 - Project 7 _ Text Classification with RNN/

001 Introduction to Recurrent Neural Networks.mp4

41.5 MB

001 Introduction to Recurrent Neural Networks_en.vtt

2.1 KB

002 Vanishing Gradient Problem.mp4

40.8 MB

002 Vanishing Gradient Problem_en.vtt

2.1 KB

003 LSTM and GRU.mp4

62.8 MB

003 LSTM and GRU_en.vtt

3.8 KB

004 Spam Detection with RNN.mp4

67.5 MB

004 Spam Detection with RNN_en.vtt

6.9 KB

25153382-spam.csv

503.7 KB

13 - Project 8 _ Automatic Text Generation using TensorFlow, Keras and LSTM/

001 Text Generation Part I.mp4

119.8 MB

001 Text Generation Part I_en.vtt

12.9 KB

002 Text Generation Part II.mp4

49.5 MB

002 Text Generation Part II_en.vtt

6.5 KB

14 - FastText Library for Text Classification/

001 fasttext Installation steps [Video].mp4

8.5 MB

001 fasttext Installation steps [Video]_en.vtt

2.2 KB

002 fasttext Installation steps [Text].html

0.5 KB

003 Virtual Box Installation.mp4

33.7 MB

003 Virtual Box Installation_en.vtt

6.0 KB

004 Create Linux Virtual Machine.mp4

48.6 MB

004 Create Linux Virtual Machine_en.vtt

8.9 KB

005 Install fasttext library.mp4

45.2 MB

005 Install fasttext library_en.vtt

6.0 KB

006 Text Classification with Fasttext.mp4

111.5 MB

006 Text Classification with Fasttext_en.vtt

16.1 KB

27130276-reviews.txt

71.8 KB

15 - Data analysis with Numpy/

001 Introduction to NumPy.mp4

17.1 MB

001 Introduction to NumPy_en.vtt

0.9 KB

002 Numpy Arrays Part 1.mp4

17.6 MB

002 Numpy Arrays Part 1_en.vtt

3.3 KB

003 Numpy Arrays Part 2.mp4

56.6 MB

003 Numpy Arrays Part 2_en.vtt

9.2 KB

004 Numpy Arrays Part 3.mp4

28.6 MB

004 Numpy Arrays Part 3_en.vtt

4.3 KB

005 Numpy Indexing and Selection Part 1.mp4

47.3 MB

005 Numpy Indexing and Selection Part 1_en.vtt

7.0 KB

006 Numpy Indexing and Selection Part 2.mp4

27.9 MB

006 Numpy Indexing and Selection Part 2_en.vtt

4.3 KB

007 Numpy Operations.mp4

30.7 MB

007 Numpy Operations_en.vtt

3.5 KB

16 - Data analysis with Pandas/

001 Pandas Introduction.mp4

13.1 MB

001 Pandas Introduction_en.vtt

0.7 KB

002 Pandas Series.mp4

73.4 MB

002 Pandas Series_en.vtt

10.3 KB

003 DataFrames Part 1.mp4

81.8 MB

003 DataFrames Part 1_en.vtt

11.3 KB

004 DataFrames Part 2.mp4

58.0 MB

004 DataFrames Part 2_en.vtt

9.7 KB

005 DataFrames Part 3.mp4

59.2 MB

005 DataFrames Part 3_en.vtt

9.1 KB

006 Missing Data.mp4

37.0 MB

006 Missing Data_en.vtt

6.4 KB

007 Groupby Method.mp4

51.5 MB

007 Groupby Method_en.vtt

7.3 KB

008 Merging, Joining and Concatenating DataFrames.mp4

60.0 MB

008 Merging, Joining and Concatenating DataFrames_en.vtt

7.8 KB

009 Pandas Operations.mp4

40.7 MB

009 Pandas Operations_en.vtt

7.4 KB

010 Reading and Writing Files in Pandas.mp4

48.7 MB

010 Reading and Writing Files in Pandas_en.vtt

7.3 KB

17 - Data Visualization with Matplotlib/

001 Matplotlib Part 1 - Functional Method.mp4

95.0 MB

001 Matplotlib Part 1 - Functional Method_en.vtt

10.1 KB

002 Matplotlib Part 1 - Object Oriented Method.mp4

46.1 MB

002 Matplotlib Part 1 - Object Oriented Method_en.vtt

6.0 KB

003 Matplotlib Part 2 - Subplots Method.mp4

39.6 MB

003 Matplotlib Part 2 - Subplots Method_en.vtt

5.0 KB

004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI.mp4

56.6 MB

004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI_en.vtt

6.9 KB

005 Matplotlib Part 3.mp4

52.5 MB

005 Matplotlib Part 3_en.vtt

4.9 KB

006 Matplotlib Part 4.mp4

95.6 MB

006 Matplotlib Part 4_en.vtt

8.8 KB

18 - Appendix/

001 Text File Processing - I.mp4

41.6 MB

001 Text File Processing - I_en.vtt

7.9 KB

002 Text File Processing - II.mp4

60.8 MB

002 Text File Processing - II_en.vtt

8.4 KB

003 Text File Processing - III.mp4

57.4 MB

003 Text File Processing - III_en.vtt

11.4 KB

004 Text File Processing - IV.mp4

16.2 MB

004 Text File Processing - IV_en.vtt

3.5 KB

005 Working with PDF File - I.mp4

47.8 MB

005 Working with PDF File - I_en.vtt

8.5 KB

25154140-sample.pdf

3.0 KB

[Tutorialsplanet.NET].url

0.1 KB

 

Total files 196


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