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Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
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| [Tutorialsplanet.NET].url |
128B |
| [Tutorialsplanet.NET].url |
128B |
| 001 Business Problem_en.vtt |
4.50KB |
| 001 Business Problem.mp4 |
25.74MB |
| 001 Business Problem & Dataset_en.vtt |
7.98KB |
| 001 Business Problem & Dataset.mp4 |
42.61MB |
| 001 Convolutional Neural Network Part 1_en.vtt |
4.89KB |
| 001 Convolutional Neural Network Part 1.mp4 |
96.30MB |
| 001 Course Installation_en.vtt |
12.23KB |
| 001 Course Installation.mp4 |
81.09MB |
| 001 Course Overview_en.vtt |
4.00KB |
| 001 Course Overview.mp4 |
35.44MB |
| 001 fasttext Installation steps [Video]_en.vtt |
2.13KB |
| 001 fasttext Installation steps [Video].mp4 |
8.11MB |
| 001 Importing the libraries and Dataset_en.vtt |
7.65KB |
| 001 Importing the libraries and Dataset.mp4 |
61.10MB |
| 001 Introduction to NumPy_en.vtt |
949B |
| 001 Introduction to NumPy.mp4 |
16.28MB |
| 001 Introduction to Recurrent Neural Networks_en.vtt |
2.07KB |
| 001 Introduction to Recurrent Neural Networks.mp4 |
39.58MB |
| 001 Introduction to Word Embedding_en.vtt |
11.75KB |
| 001 Introduction to Word Embedding.mp4 |
146.36MB |
| 001 Matplotlib Part 1 - Functional Method_en.vtt |
9.91KB |
| 001 Matplotlib Part 1 - Functional Method.mp4 |
90.64MB |
| 001 Pandas Introduction_en.vtt |
707B |
| 001 Pandas Introduction.mp4 |
12.51MB |
| 001 Review Classification Part -1_en.vtt |
10.88KB |
| 001 Review Classification Part -1.mp4 |
79.44MB |
| 001 Section _ Introduction_en.vtt |
2.77KB |
| 001 Section _ Introduction.mp4 |
48.97MB |
| 001 Setting up Twitter Developer application_en.vtt |
7.58KB |
| 001 Setting up Twitter Developer application.mp4 |
49.27MB |
| 001 Text File Processing - I_en.vtt |
7.76KB |
| 001 Text File Processing - I.mp4 |
39.69MB |
| 001 Text Generation Part I_en.vtt |
12.56KB |
| 001 Text Generation Part I.mp4 |
114.28MB |
| 001 The Neuron_en.vtt |
5.91KB |
| 001 The Neuron.mp4 |
102.03MB |
| 002 Activation Function_en.vtt |
8.35KB |
| 002 Activation Function.mp4 |
156.73MB |
| 002 Cleaning Text Data with NLTK - 1_en.vtt |
8.99KB |
| 002 Cleaning Text Data with NLTK - 1.mp4 |
49.61MB |
| 002 Convolutional Neural Network Part 2_en.vtt |
4.37KB |
| 002 Convolutional Neural Network Part 2.mp4 |
81.14MB |
| 002 Create Word Frequency Counter_en.vtt |
7.43KB |
| 002 Create Word Frequency Counter.mp4 |
42.40MB |
| 002 Data Exploration & Preprocessing_en.vtt |
9.54KB |
| 002 Data Exploration & Preprocessing.mp4 |
50.30MB |
| 002 fasttext Installation steps [Text].html |
466B |
| 002 Fetch Tweet from Tweeter server_en.vtt |
3.97KB |
| 002 Fetch Tweet from Tweeter server.mp4 |
30.95MB |
| 002 Local Installation Steps.html |
860B |
| 002 Matplotlib Part 1 - Object Oriented Method_en.vtt |
5.89KB |
| 002 Matplotlib Part 1 - Object Oriented Method.mp4 |
44.01MB |
| 002 Numpy Arrays Part 1_en.vtt |
3.23KB |
| 002 Numpy Arrays Part 1.mp4 |
16.76MB |
| 002 Pandas Series_en.vtt |
10.02KB |
| 002 Pandas Series.mp4 |
69.99MB |
| 002 Review Classification Part - 2_en.vtt |
9.24KB |
| 002 Review Classification Part - 2.mp4 |
72.40MB |
| 002 Reviews UPDATE_en.vtt |
1.63KB |
| 002 Reviews UPDATE.mp4 |
5.35MB |
| 002 Text File Processing - II_en.vtt |
8.19KB |
| 002 Text File Processing - II.mp4 |
57.96MB |
| 002 Text Generation Part II_en.vtt |
6.34KB |
| 002 Text Generation Part II.mp4 |
47.23MB |
| 002 Tokenization Basic Part - 1_en.vtt |
9.80KB |
| 002 Tokenization Basic Part - 1.mp4 |
73.10MB |
| 002 Train Model for Embedding - I_en.vtt |
9.29KB |
| 002 Train Model for Embedding - I.mp4 |
71.44MB |
| 002 Vanishing Gradient Problem_en.vtt |
2.09KB |
| 002 Vanishing Gradient Problem.mp4 |
38.91MB |
| 003 Calculate Sentence Score_en.vtt |
6.55KB |
| 003 Calculate Sentence Score.mp4 |
57.31MB |
| 003 Cleaning Text Data with NLTK - 2_en.vtt |
6.85KB |
| 003 Cleaning Text Data with NLTK - 2.mp4 |
51.26MB |
| 003 Cost Function_en.vtt |
2.72KB |
| 003 Cost Function.mp4 |
51.76MB |
| 003 DataFrames Part 1_en.vtt |
11.05KB |
| 003 DataFrames Part 1.mp4 |
77.99MB |
| 003 Find Setiment from Tweets_en.vtt |
10.16KB |
| 003 Find Setiment from Tweets.mp4 |
74.24MB |
| 003 Introduction to NLP_en.vtt |
7.43KB |
| 003 Introduction to NLP.mp4 |
133.54MB |
| 003 Links to Notebooks (As taught in Lectures).html |
3.27KB |
| 003 LSTM and GRU_en.vtt |
3.67KB |
| 003 LSTM and GRU.mp4 |
59.87MB |
| 003 Matplotlib Part 2 - Subplots Method_en.vtt |
4.92KB |
| 003 Matplotlib Part 2 - Subplots Method.mp4 |
37.77MB |
| 003 Numpy Arrays Part 2_en.vtt |
8.95KB |
| 003 Numpy Arrays Part 2.mp4 |
53.96MB |
| 003 Spam Detection with CNN - I_en.vtt |
10.39KB |
| 003 Spam Detection with CNN - I.mp4 |
91.43MB |
| 003 Split Data in Training & Testing_en.vtt |
6.79KB |
| 003 Split Data in Training & Testing.mp4 |
40.23MB |
| 003 Text File Processing - III_en.vtt |
11.12KB |
| 003 Text File Processing - III.mp4 |
54.77MB |
| 003 Tokenization Basic Part - 2_en.vtt |
8.40KB |
| 003 Tokenization Basic Part - 2.mp4 |
50.31MB |
| 003 Train Model for Embedding - II_en.vtt |
6.54KB |
| 003 Train Model for Embedding - II.mp4 |
50.48MB |
| 003 Virtual Box Installation_en.vtt |
5.86KB |
| 003 Virtual Box Installation.mp4 |
32.16MB |
| 004 Apply Random Forest_en.vtt |
11.99KB |
| 004 Apply Random Forest.mp4 |
63.89MB |
| 004 Bag of Word Model_en.vtt |
10.44KB |
| 004 Bag of Word Model.mp4 |
70.04MB |
| 004 Course FAQs.html |
1.58KB |
| 004 Create Linux Virtual Machine_en.vtt |
8.66KB |
| 004 Create Linux Virtual Machine.mp4 |
46.38MB |
| 004 DataFrames Part 2_en.vtt |
9.46KB |
| 004 DataFrames Part 2.mp4 |
55.28MB |
| 004 Embeddings with Pretrained model_en.vtt |
6.95KB |
| 004 Embeddings with Pretrained model.mp4 |
63.74MB |
| 004 Extract summary of document_en.vtt |
3.70KB |
| 004 Extract summary of document.mp4 |
27.22MB |
| 004 Gradient Descent and Back-Propagation_en.vtt |
3.88KB |
| 004 Gradient Descent and Back-Propagation.mp4 |
74.79MB |
| 004 Links to Notebooks (More explanatory notebook for refrence).html |
3.38KB |
| 004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI_en.vtt |
6.72KB |
| 004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI.mp4 |
53.94MB |
| 004 Numpy Arrays Part 3_en.vtt |
4.24KB |
| 004 Numpy Arrays Part 3.mp4 |
27.25MB |
| 004 Spam Detection with CNN - II_en.vtt |
9.54KB |
| 004 Spam Detection with CNN - II.mp4 |
77.97MB |
| 004 Spam Detection with RNN_en.vtt |
6.74KB |
| 004 Spam Detection with RNN.mp4 |
64.36MB |
| 004 Text File Processing - IV_en.vtt |
3.43KB |
| 004 Text File Processing - IV.mp4 |
15.49MB |
| 004 Tokenization Basic Part - 3_en.vtt |
3.21KB |
| 004 Tokenization Basic Part - 3.mp4 |
12.74MB |
| 005 Apply Naive Bayes Algorithm_en.vtt |
4.65KB |
| 005 Apply Naive Bayes Algorithm.mp4 |
28.76MB |
| 005 Apply Support vector Machine (SVM)_en.vtt |
4.88KB |
| 005 Apply Support vector Machine (SVM).mp4 |
33.81MB |
| 005 DataFrames Part 3_en.vtt |
8.84KB |
| 005 DataFrames Part 3.mp4 |
56.42MB |
| 005 Install fasttext library_en.vtt |
5.84KB |
| 005 Install fasttext library.mp4 |
43.12MB |
| 005 Matplotlib Part 3_en.vtt |
4.75KB |
| 005 Matplotlib Part 3.mp4 |
50.06MB |
| 005 Numpy Indexing and Selection Part 1_en.vtt |
6.80KB |
| 005 Numpy Indexing and Selection Part 1.mp4 |
45.13MB |
| 005 Stemming & Lemmatization - 1_en.vtt |
6.55KB |
| 005 Stemming & Lemmatization - 1.mp4 |
26.84MB |
| 005 Working with PDF File - I_en.vtt |
8.31KB |
| 005 Working with PDF File - I.mp4 |
45.56MB |
| 006 Matplotlib Part 4_en.vtt |
8.57KB |
| 006 Matplotlib Part 4.mp4 |
91.20MB |
| 006 Missing Data_en.vtt |
6.29KB |
| 006 Missing Data.mp4 |
35.28MB |
| 006 Numpy Indexing and Selection Part 2_en.vtt |
4.17KB |
| 006 Numpy Indexing and Selection Part 2.mp4 |
26.60MB |
| 006 Predict Testing Data both model_en.vtt |
3.69KB |
| 006 Predict Testing Data both model.mp4 |
16.18MB |
| 006 Stemming & Lemmatization - 2_en.vtt |
4.95KB |
| 006 Stemming & Lemmatization - 2.mp4 |
23.50MB |
| 006 Text Classification with Fasttext_en.vtt |
15.71KB |
| 006 Text Classification with Fasttext.mp4 |
106.38MB |
| 007 Groupby Method_en.vtt |
7.11KB |
| 007 Groupby Method.mp4 |
49.10MB |
| 007 Numpy Operations_en.vtt |
3.40KB |
| 007 Numpy Operations.mp4 |
29.25MB |
| 007 Stop Words_en.vtt |
6.72KB |
| 007 Stop Words.mp4 |
32.74MB |
| 008 Merging, Joining and Concatenating DataFrames_en.vtt |
7.60KB |
| 008 Merging, Joining and Concatenating DataFrames.mp4 |
57.23MB |
| 008 Vocabulary and Matching Part - 1_en.vtt |
9.66KB |
| 008 Vocabulary and Matching Part - 1.mp4 |
84.41MB |
| 009 Pandas Operations_en.vtt |
7.27KB |
| 009 Pandas Operations.mp4 |
38.80MB |
| 009 Vocabulary and Matching Part - 2 (Rule Based)_en.vtt |
8.80KB |
| 009 Vocabulary and Matching Part - 2 (Rule Based).mp4 |
72.81MB |
| 010 Reading and Writing Files in Pandas_en.vtt |
7.12KB |
| 010 Reading and Writing Files in Pandas.mp4 |
46.47MB |
| 010 Vocabulary and Matching Part - 3 (Phrase Based)_en.vtt |
3.98KB |
| 010 Vocabulary and Matching Part - 3 (Phrase Based).mp4 |
33.14MB |
| 011 Parts of Speech Tagging_en.vtt |
8.04KB |
| 011 Parts of Speech Tagging.mp4 |
55.69MB |
| 012 Named Entity Recognition_en.vtt |
12.93KB |
| 012 Named Entity Recognition.mp4 |
82.87MB |
| 013 Sentence Segmentation_en.vtt |
8.97KB |
| 013 Sentence Segmentation.mp4 |
52.93MB |
| 24056952-requirements.txt |
12B |
| 25152746-spam.tsv |
501.84KB |
| 25152756-Restaurant-Reviews.tsv |
59.89KB |
| 25152800-amazon-cells-labelled.txt |
56.86KB |
| 25152804-imdb-labelled.txt |
83.29KB |
| 25152808-yelp-labelled.txt |
59.88KB |
| 25153370-spam.csv |
491.86KB |
| 25153382-spam.csv |
491.86KB |
| 25154140-sample.pdf |
2.96KB |
| 27130276-reviews.txt |
70.13KB |
| external-assets-links.txt |
99B |
| external-assets-links.txt |
226B |
| external-assets-links.txt |
134B |