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[Udemy] Natural Language Processing (NLP) in Python with 8 Projects (11.2021)
大小 4.72 GB
文件数 194
Info Hash: 3405549A94567A7FA11342DE1727383C6D869A0C
收录时间 2025-12-21 23:49:49
更新时间 2025-12-22 00:33:22
文件列表 (194)
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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