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001 [Slides] - Basic Text Processing.en.srt |
10.47KB |
001 [Slides] - Basic Text Processing.mp4 |
91.54MB |
001 [Slides] - NLTK Intro and Tokenizers.en.srt |
8.21KB |
001 [Slides] - NLTK Intro and Tokenizers.mp4 |
77.37MB |
001 [Slides] - Python Data Types and Libraries.en.srt |
11.54KB |
001 [Slides] - Python Data Types and Libraries.mp4 |
90.28MB |
001 [Slides] - Setting up the Environment.en.srt |
17.55KB |
001 [Slides] - Setting up the Environment.mp4 |
124.25MB |
001 Binary Vectorizer.en.srt |
24.87KB |
001 Binary Vectorizer.mp4 |
134.48MB |
001 Continuous Bag of Words Model (CBOW) Introduction.en.srt |
12.81KB |
001 Continuous Bag of Words Model (CBOW) Introduction.mp4 |
69.80MB |
001 Introduction.en.srt |
10.53KB |
001 Introduction.mp4 |
108.71MB |
001 Introduction to Word Vectors.en.srt |
3.31KB |
001 Introduction to Word Vectors.mp4 |
9.61MB |
001 Intro to Text Classification.en.srt |
5.03KB |
001 Intro to Text Classification.mp4 |
14.40MB |
001 Read Data from a CSV File - Using Pandas.en.srt |
13.89KB |
001 Read Data from a CSV File - Using Pandas.mp4 |
69.19MB |
001 Thank you!.en.srt |
1.29KB |
001 Thank you!.mp4 |
13.80MB |
002 [Slides] - Objects and Control Flow.en.srt |
13.37KB |
002 [Slides] - Objects and Control Flow.mp4 |
102.77MB |
002 [Slides] - Text Normalization Techniques.en.srt |
5.61KB |
002 [Slides] - Text Normalization Techniques.mp4 |
49.69MB |
002 Binary Word Vectors.en.srt |
10.42KB |
002 Binary Word Vectors.mp4 |
56.56MB |
002 CBOW - Creating Vocab and Binary Word Arrays.en.srt |
10.53KB |
002 CBOW - Creating Vocab and Binary Word Arrays.mp4 |
56.57MB |
002 Count Vectorizer.en.srt |
5.87KB |
002 Count Vectorizer.mp4 |
32.40MB |
002 Course Materials and Speed Up.html |
1.28KB |
002 Installing the Anaconda Distribution.en.srt |
13.51KB |
002 Installing the Anaconda Distribution.mp4 |
71.48MB |
002 Loading Positive and Negative Movie Reviews.en.srt |
10.68KB |
002 Loading Positive and Negative Movie Reviews.mp4 |
63.82MB |
002 Manipulating Text Objects.en.srt |
16.30KB |
002 Manipulating Text Objects.mp4 |
59.22MB |
002 Read Data from a CSV File - Using Python CSV.en.srt |
6.74KB |
002 Read Data from a CSV File - Using Python CSV.mp4 |
38.01MB |
003 [Slides] - Functions, Pandas and Numpy.en.srt |
5.70KB |
003 [Slides] - Functions, Pandas and Numpy.mp4 |
42.58MB |
003 [Slides] - Part-of-Speech Tag and N-Grams.en.srt |
19.41KB |
003 [Slides] - Part-of-Speech Tag and N-Grams.mp4 |
156.87MB |
003 3 Alternatives to Setup your Environment.en.srt |
3.27KB |
003 3 Alternatives to Setup your Environment.mp4 |
14.83MB |
003 CBOW - Building Features and Target Variable.en.srt |
14.02KB |
003 CBOW - Building Features and Target Variable.mp4 |
87.75MB |
003 Combining Strings.en.srt |
5.53KB |
003 Combining Strings.mp4 |
19.57MB |
003 Pre-Processing Text for Text Classification.en.srt |
9.69KB |
003 Pre-Processing Text for Text Classification.mp4 |
61.84MB |
003 Read Data from a TXT File.en.srt |
8.31KB |
003 Read Data from a TXT File.mp4 |
46.73MB |
003 TF-IDF.en.srt |
14.36KB |
003 TF-IDF.mp4 |
79.11MB |
003 Word Co-Occurence Matrices.en.srt |
11.54KB |
003 Word Co-Occurence Matrices.mp4 |
71.65MB |
004 [1] - Creating an Environment and Installing Libraries via Anaconda.en.srt |
7.16KB |
004 [1] - Creating an Environment and Installing Libraries via Anaconda.mp4 |
26.01MB |
004 CBOW - Accuracy of Random Model and Training Process.en.srt |
21.01KB |
004 CBOW - Accuracy of Random Model and Training Process.mp4 |
105.71MB |
004 Filling Co-Occurence Matrix.en.srt |
13.43KB |
004 Filling Co-Occurence Matrix.mp4 |
101.81MB |
004 Iterating Strings and Format Method.en.srt |
8.37KB |
004 Iterating Strings and Format Method.mp4 |
39.17MB |
004 Jupyter Notebook Overview.en.srt |
8.77KB |
004 Jupyter Notebook Overview.mp4 |
34.30MB |
004 Log Ratio Intuition and Word Influence.en.srt |
24.52KB |
004 Log Ratio Intuition and Word Influence.mp4 |
130.01MB |
004 Natural Language Toolkit Introduction and Sentence Tokenizer.en.srt |
13.89KB |
004 Natural Language Toolkit Introduction and Sentence Tokenizer.mp4 |
91.42MB |
004 Scraping a Web Page using Requests and BeautifulSoup - Wikipedia Example.en.srt |
18.74KB |
004 Scraping a Web Page using Requests and BeautifulSoup - Wikipedia Example.mp4 |
153.67MB |
004 Text Representation - Exercises.en.srt |
1.28KB |
004 Text Representation - Exercises.mp4 |
7.67MB |
005 [2] - Creating an Environment by Importing the YML File.en.srt |
3.90KB |
005 [2] - Creating an Environment by Importing the YML File.mp4 |
14.20MB |
005 CBOW - Training the Neural Network.en.srt |
19.76KB |
005 CBOW - Training the Neural Network.mp4 |
108.99MB |
005 Python Integers, Floats and Strings.en.srt |
10.64KB |
005 Python Integers, Floats and Strings.mp4 |
41.50MB |
005 Scraping a Web Page using Requests and BeautifulSoup - Yahoo Finance Example.en.srt |
22.42KB |
005 Scraping a Web Page using Requests and BeautifulSoup - Yahoo Finance Example.mp4 |
162.84MB |
005 Stemming and Vectorizing the Reviews.en.srt |
18.70KB |
005 Stemming and Vectorizing the Reviews.mp4 |
106.69MB |
005 Testing if String is in Sentence.en.srt |
3.58KB |
005 Testing if String is in Sentence.mp4 |
13.56MB |
005 Visualizing Word Vectors.en.srt |
11.08KB |
005 Visualizing Word Vectors.mp4 |
65.66MB |
005 Word Tokenizer.en.srt |
12.58KB |
005 Word Tokenizer.mp4 |
52.99MB |
006 CBOW - Obtaining Word Vectors (Embeddings).en.srt |
9.77KB |
006 CBOW - Obtaining Word Vectors (Embeddings).mp4 |
56.18MB |
006 Escaping Characters.en.srt |
9.78KB |
006 Escaping Characters.mp4 |
36.04MB |
006 Launching a Jupyter Notebook via Anaconda Navigator.en.srt |
6.70KB |
006 Launching a Jupyter Notebook via Anaconda Navigator.mp4 |
27.74MB |
006 Logistic Regression Intuition and Training Process.en.srt |
9.81KB |
006 Logistic Regression Intuition and Training Process.mp4 |
39.41MB |
006 Python Libraries.en.srt |
5.88KB |
006 Python Libraries.mp4 |
27.30MB |
006 Scraping a Web Page - Errors in Request.en.srt |
5.13KB |
006 Scraping a Web Page - Errors in Request.mp4 |
32.47MB |
006 Similarity between Words - Cosine.en.srt |
15.09KB |
006 Similarity between Words - Cosine.mp4 |
70.88MB |
006 Tokenizer Application and Cleaning Tokens.en.srt |
14.42KB |
006 Tokenizer Application and Cleaning Tokens.mp4 |
60.15MB |
007 [3] - Creating an Environment via Conda.en.srt |
6.03KB |
007 [3] - Creating an Environment via Conda.mp4 |
39.37MB |
007 Counting Frequency of Digits in Sentence.en.srt |
20.36KB |
007 Counting Frequency of Digits in Sentence.mp4 |
105.33MB |
007 Pre-Processing Wikipedia Data for CBOW Model.en.srt |
11.56KB |
007 Pre-Processing Wikipedia Data for CBOW Model.mp4 |
52.97MB |
007 Python Lists and Sets.en.srt |
7.31KB |
007 Python Lists and Sets.mp4 |
30.23MB |
007 Scraping a Web Page using Specific Libraries.en.srt |
4.81KB |
007 Scraping a Web Page using Specific Libraries.mp4 |
36.62MB |
007 Sentence Length, Conversions and Casing Methods.en.srt |
7.93KB |
007 Sentence Length, Conversions and Casing Methods.mp4 |
29.67MB |
007 Sigmoid Function and One Feature Prediction.en.srt |
10.33KB |
007 Sigmoid Function and One Feature Prediction.mp4 |
65.49MB |
007 Word Similarities from Co-Occurence Matrix.en.srt |
10.16KB |
007 Word Similarities from Co-Occurence Matrix.mp4 |
57.46MB |
008 Building Features and Target for Wikipedia Data.en.srt |
16.24KB |
008 Building Features and Target for Wikipedia Data.mp4 |
92.24MB |
008 FreqDist NLTK Function.en.srt |
8.73KB |
008 FreqDist NLTK Function.mp4 |
41.49MB |
008 Gradient Descent Intuition by Adjusting Weights.en.srt |
13.62KB |
008 Gradient Descent Intuition by Adjusting Weights.mp4 |
76.67MB |
008 Installing Libraries via Conda.en.srt |
3.93KB |
008 Installing Libraries via Conda.mp4 |
15.02MB |
008 Is Alpha, Strip and Split.en.srt |
7.85KB |
008 Is Alpha, Strip and Split.mp4 |
31.34MB |
008 Python Dictionaries and Tuples.en.srt |
5.39KB |
008 Python Dictionaries and Tuples.mp4 |
22.52MB |
008 Reading Text Data - Exercises.en.srt |
1.93KB |
008 Reading Text Data - Exercises.mp4 |
10.03MB |
008 Word Vectors - Exercises.en.srt |
968B |
008 Word Vectors - Exercises.mp4 |
6.67MB |
009 Fitting Neural Network on Wikipedia Data.en.srt |
11.39KB |
009 Fitting Neural Network on Wikipedia Data.mp4 |
42.77MB |
009 Join and Capitalize.en.srt |
4.01KB |
009 Join and Capitalize.mp4 |
16.00MB |
009 Launching a Jupyter Notebook via Conda.en.srt |
4.04KB |
009 Launching a Jupyter Notebook via Conda.mp4 |
22.08MB |
009 Porter, Snowball and Lancaster Stemmers.en.srt |
17.89KB |
009 Porter, Snowball and Lancaster Stemmers.mp4 |
99.22MB |
009 Python Control Flow.en.srt |
17.14KB |
009 Python Control Flow.mp4 |
71.94MB |
009 Train and Test Split.en.srt |
6.31KB |
009 Train and Test Split.mp4 |
27.73MB |
010 Fitting and Evaluating Model.en.srt |
6.35KB |
010 Fitting and Evaluating Model.mp4 |
32.52MB |
010 Performance of the Neural Network.en.srt |
8.77KB |
010 Performance of the Neural Network.mp4 |
50.36MB |
010 Python Functions.en.srt |
9.97KB |
010 Python Functions.mp4 |
40.17MB |
010 Replace, Count and Find.en.srt |
8.46KB |
010 Replace, Count and Find.mp4 |
35.41MB |
010 Stemming Sentences.en.srt |
11.83KB |
010 Stemming Sentences.mp4 |
70.04MB |
010 Testing if your environment is OK.en.srt |
10.99KB |
010 Testing if your environment is OK.mp4 |
38.11MB |
011 Model Regularization.en.srt |
4.06KB |
011 Model Regularization.mp4 |
23.93MB |
011 Numpy Overview.en.srt |
9.51KB |
011 Numpy Overview.mp4 |
34.99MB |
011 Predicting a Word Given a Context.en.srt |
9.61KB |
011 Predicting a Word Given a Context.mp4 |
52.07MB |
011 Summary on Environment Setup.en.srt |
4.73KB |
011 Summary on Environment Setup.mp4 |
14.01MB |
011 WordNet Lemmatizer.en.srt |
12.54KB |
011 WordNet Lemmatizer.mp4 |
55.42MB |
011 Working with Text - Exercises.en.srt |
1.12KB |
011 Working with Text - Exercises.mp4 |
7.34MB |
012 Obtaining the Weights_Coefficients of Regression.en.srt |
6.72KB |
012 Obtaining the Weights_Coefficients of Regression.mp4 |
29.20MB |
012 Pandas Overview.en.srt |
8.57KB |
012 Pandas Overview.mp4 |
32.71MB |
012 Part-of-Speech (POS) Tagging.en.srt |
16.54KB |
012 Part-of-Speech (POS) Tagging.mp4 |
83.59MB |
012 Retrieving Word Embeddings and Word Similarities.en.srt |
18.64KB |
012 Retrieving Word Embeddings and Word Similarities.mp4 |
104.70MB |
013 Predicting New Sentences Sentiment.en.srt |
15.11KB |
013 Predicting New Sentences Sentiment.mp4 |
93.93MB |
013 Training a POS Tagger from Scratch - Accessing Tagged Data from Brown Corpus.en.srt |
12.98KB |
013 Training a POS Tagger from Scratch - Accessing Tagged Data from Brown Corpus.mp4 |
68.33MB |
013 Tutorial - How to Complete the Exercises.en.srt |
7.16KB |
013 Tutorial - How to Complete the Exercises.mp4 |
39.38MB |
013 Word2Vec.en.srt |
20.03KB |
013 Word2Vec.mp4 |
92.70MB |
014 Python Quick Course - Exercises.en.srt |
2.56KB |
014 Python Quick Course - Exercises.mp4 |
11.16MB |
014 Training a POS Tagger from Scratch - Unigram Tagger.en.srt |
16.47KB |
014 Training a POS Tagger from Scratch - Unigram Tagger.mp4 |
80.23MB |
014 Word2Vec - Operations with Vectors.en.srt |
12.39KB |
014 Word2Vec - Operations with Vectors.mp4 |
73.27MB |
015 Training a POS Tagger from Scratch - Bigram Tagger.en.srt |
17.12KB |
015 Training a POS Tagger from Scratch - Bigram Tagger.mp4 |
90.50MB |
015 Word2Vec - Word Clustering.en.srt |
17.73KB |
015 Word2Vec - Word Clustering.mp4 |
84.24MB |
016 Continuous Bag of Words Implementation - Exercises.en.srt |
2.04KB |
016 Continuous Bag of Words Implementation - Exercises.mp4 |
9.55MB |
016 Plotting the Frequency of Tags in a Sentence.en.srt |
9.88KB |
016 Plotting the Frequency of Tags in a Sentence.mp4 |
59.88MB |
017 Lemmatization and POS Tagging.en.srt |
16.90KB |
017 Lemmatization and POS Tagging.mp4 |
100.40MB |
018 Stop Words.en.srt |
24.51KB |
018 Stop Words.mp4 |
115.82MB |
019 N-Grams.en.srt |
10.70KB |
019 N-Grams.mp4 |
54.13MB |
020 Natural Language Toolkit - Exercises.en.srt |
1.36KB |
020 Natural Language Toolkit - Exercises.mp4 |
6.98MB |
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