GigaCourse Com Udemy Machine Learning Natural Language Processing in Python V2

GigaCourse Com Udemy Machine Learning Natural Language Processing in Python V2

Name	[GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	7.0 GB
Total Files	319
Hash	B25F3BB7BB667E49BE79E3455078B9EF083CDE84

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/01 - Introduction/
001 Introduction and Outline.mp4	76.5 MB
001 Introduction and Outline_en.vtt	14.0 KB
002 Are You Beginner, Intermediate, or Advanced All are OK!.mp4	28.0 MB
002 Are You Beginner, Intermediate, or Advanced All are OK!_en.vtt	6.5 KB
/02 - Getting Set Up/
001 Github-Link.url	0.1 KB
001 Where to get the Code.mp4	23.0 MB
001 Where to get the Code_en.vtt	5.1 KB
002 How to use Github & Extra Coding Tips (Optional).mp4	53.3 MB
002 How to use Github & Extra Coding Tips (Optional)_en.vtt	11.6 KB
external-links.txt	0.1 KB
/03 - Vector Models and Text Preprocessing/
001 Vector Models & Text Preprocessing Intro.mp4	18.4 MB
001 Vector Models & Text Preprocessing Intro_en.vtt	4.5 KB
002 Basic Definitions for NLP.mp4	29.7 MB
002 Basic Definitions for NLP_en.vtt	6.0 KB
003 What is a Vector.mp4	51.3 MB
003 What is a Vector_en.vtt	13.4 KB
004 Bag of Words.mp4	14.5 MB
004 Bag of Words_en.vtt	2.9 KB
005 Count Vectorizer (Theory).mp4	60.2 MB
005 Count Vectorizer (Theory)_en.vtt	17.2 KB
006 Tokenization.mp4	77.1 MB
006 Tokenization_en.vtt	17.8 KB
007 Stopwords.mp4	24.6 MB
007 Stopwords_en.vtt	5.7 KB
008 Stemming and Lemmatization.mp4	60.7 MB
008 Stemming and Lemmatization_en.vtt	14.2 KB
009 Stemming and Lemmatization Demo.mp4	78.5 MB
009 Stemming and Lemmatization Demo_en.vtt	12.4 KB
010 Count Vectorizer (Code).mp4	106.9 MB
010 Count Vectorizer (Code)_en.vtt	17.1 KB
011 Vector Similarity.mp4	47.3 MB
011 Vector Similarity_en.vtt	13.6 KB
012 TF-IDF (Theory).mp4	61.4 MB
012 TF-IDF (Theory)_en.vtt	16.4 KB
013 (Interactive) Recommender Exercise Prompt.mp4	14.0 MB
013 (Interactive) Recommender Exercise Prompt_en.vtt	2.9 KB
014 TF-IDF (Code).mp4	131.0 MB
014 TF-IDF (Code)_en.vtt	22.1 KB
015 Word-to-Index Mapping.mp4	49.9 MB
015 Word-to-Index Mapping_en.vtt	13.2 KB
016 How to Build TF-IDF From Scratch.mp4	83.7 MB
016 How to Build TF-IDF From Scratch_en.vtt	16.6 KB
017 Neural Word Embeddings.mp4	47.8 MB
017 Neural Word Embeddings_en.vtt	12.1 KB
018 Neural Word Embeddings Demo.mp4	70.1 MB
018 Neural Word Embeddings Demo_en.vtt	11.4 KB
019 Vector Models & Text Preprocessing Summary.mp4	21.9 MB
019 Vector Models & Text Preprocessing Summary_en.vtt	4.4 KB
020 Text Summarization Preview.mp4	6.6 MB
020 Text Summarization Preview_en.vtt	1.5 KB
021 How To Do NLP In Other Languages.mp4	58.7 MB
021 How To Do NLP In Other Languages_en.vtt	13.1 KB
022 Suggestion Box.mp4	28.5 MB
022 Suggestion Box_en.vtt	4.2 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/04 - Probabilistic Models (Introduction)/
001 Probabilistic Models (Introduction).mp4	28.2 MB
001 Probabilistic Models (Introduction)_en.vtt	5.7 KB
/05 - Markov Models (Intermediate)/
001 Markov Models Section Introduction.mp4	13.7 MB
001 Markov Models Section Introduction_en.vtt	3.1 KB
002 The Markov Property.mp4	33.8 MB
002 The Markov Property_en.vtt	8.5 KB
003 The Markov Model.mp4	47.5 MB
003 The Markov Model_en.vtt	14.4 KB
004 Probability Smoothing and Log-Probabilities.mp4	35.7 MB
004 Probability Smoothing and Log-Probabilities_en.vtt	9.3 KB
005 Building a Text Classifier (Theory).mp4	30.3 MB
005 Building a Text Classifier (Theory)_en.vtt	8.5 KB
006 Building a Text Classifier (Exercise Prompt).mp4	30.8 MB
006 Building a Text Classifier (Exercise Prompt)_en.vtt	7.9 KB
007 Building a Text Classifier (Code pt 1).mp4	60.5 MB
007 Building a Text Classifier (Code pt 1)_en.vtt	10.7 KB
008 Building a Text Classifier (Code pt 2).mp4	75.7 MB
008 Building a Text Classifier (Code pt 2)_en.vtt	12.4 KB
009 Language Model (Theory).mp4	47.1 MB
009 Language Model (Theory)_en.vtt	12.0 KB
010 Language Model (Exercise Prompt).mp4	30.2 MB
010 Language Model (Exercise Prompt)_en.vtt	8.1 KB
011 Language Model (Code pt 1).mp4	65.9 MB
011 Language Model (Code pt 1)_en.vtt	11.8 KB
012 Language Model (Code pt 2).mp4	55.0 MB
012 Language Model (Code pt 2)_en.vtt	10.1 KB
013 Markov Models Section Summary.mp4	16.3 MB
013 Markov Models Section Summary_en.vtt	3.6 KB
/06 - Article Spinner (Intermediate)/
001 Article Spinning - Problem Description.mp4	44.0 MB
001 Article Spinning - Problem Description_en.vtt	9.7 KB
002 Article Spinning - N-Gram Approach.mp4	16.7 MB
002 Article Spinning - N-Gram Approach_en.vtt	4.7 KB
003 Article Spinner Exercise Prompt.mp4	25.8 MB
003 Article Spinner Exercise Prompt_en.vtt	6.8 KB
004 Article Spinner in Python (pt 1).mp4	100.6 MB
004 Article Spinner in Python (pt 1)_en.vtt	18.5 KB
005 Article Spinner in Python (pt 2).mp4	79.0 MB
005 Article Spinner in Python (pt 2)_en.vtt	11.2 KB
006 Case Study Article Spinning Gone Wrong.mp4	29.6 MB
006 Case Study Article Spinning Gone Wrong_en.vtt	6.8 KB
/07 - Cipher Decryption (Advanced)/
001 Section Introduction.mp4	27.6 MB
001 Section Introduction_en.vtt	6.0 KB
002 Ciphers.mp4	18.0 MB
002 Ciphers_en.vtt	4.3 KB
003 Language Models (Review).mp4	68.7 MB
003 Language Models (Review)_en.vtt	18.4 KB
004 Genetic Algorithms.mp4	110.3 MB
004 Genetic Algorithms_en.vtt	26.1 KB
005 Code Preparation.mp4	21.6 MB
005 Code Preparation_en.vtt	6.1 KB
006 Code pt 1.mp4	16.8 MB
006 Code pt 1_en.vtt	3.8 KB
007 Code pt 2.mp4	41.0 MB
007 Code pt 2_en.vtt	8.4 KB
008 Code pt 3.mp4	31.0 MB
008 Code pt 3_en.vtt	5.5 KB
009 Code pt 4.mp4	26.9 MB
009 Code pt 4_en.vtt	4.4 KB
010 Code pt 5.mp4	42.9 MB
010 Code pt 5_en.vtt	7.9 KB
011 Code pt 6.mp4	41.3 MB
011 Code pt 6_en.vtt	6.5 KB
012 Cipher Decryption - Additional Discussion.mp4	15.4 MB
012 Cipher Decryption - Additional Discussion_en.vtt	3.7 KB
013 Section Conclusion.mp4	25.4 MB
013 Section Conclusion_en.vtt	7.5 KB
/08 - Machine Learning Models (Introduction)/
001 Machine Learning Models (Introduction).mp4	31.0 MB
001 Machine Learning Models (Introduction)_en.vtt	7.1 KB
/09 - Spam Detection/
001 Spam Detection - Problem Description.mp4	32.9 MB
001 Spam Detection - Problem Description_en.vtt	7.9 KB
002 Naive Bayes Intuition.mp4	53.8 MB
002 Naive Bayes Intuition_en.vtt	13.7 KB
003 Spam Detection - Exercise Prompt.mp4	9.2 MB
003 Spam Detection - Exercise Prompt_en.vtt	2.4 KB
004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4	63.1 MB
004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1)_en.vtt	15.1 KB
005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4	56.6 MB
005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2)_en.vtt	12.9 KB
006 Spam Detection in Python.mp4	112.8 MB
006 Spam Detection in Python_en.vtt	17.2 KB
/10 - Sentiment Analysis/
001 Sentiment Analysis - Problem Description.mp4	44.8 MB
001 Sentiment Analysis - Problem Description_en.vtt	8.9 KB
002 Logistic Regression Intuition (pt 1).mp4	66.7 MB
002 Logistic Regression Intuition (pt 1)_en.vtt	20.2 KB
003 Multiclass Logistic Regression (pt 2).mp4	24.8 MB
003 Multiclass Logistic Regression (pt 2)_en.vtt	7.6 KB
004 Logistic Regression Training and Interpretation (pt 3).mp4	41.6 MB
004 Logistic Regression Training and Interpretation (pt 3)_en.vtt	9.7 KB
005 Sentiment Analysis - Exercise Prompt.mp4	17.4 MB
005 Sentiment Analysis - Exercise Prompt_en.vtt	4.6 KB
006 Sentiment Analysis in Python (pt 1).mp4	66.2 MB
006 Sentiment Analysis in Python (pt 1)_en.vtt	10.5 KB
007 Sentiment Analysis in Python (pt 2).mp4	54.5 MB
007 Sentiment Analysis in Python (pt 2)_en.vtt	8.7 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/11 - Text Summarization/
001 Text Summarization Section Introduction.mp4	27.0 MB
001 Text Summarization Section Introduction_en.vtt	6.8 KB
002 Text Summarization Using Vectors.mp4	27.0 MB
002 Text Summarization Using Vectors_en.vtt	6.6 KB
003 Text Summarization Exercise Prompt.mp4	8.5 MB
003 Text Summarization Exercise Prompt_en.vtt	2.1 KB
004 Text Summarization in Python.mp4	81.9 MB
004 Text Summarization in Python_en.vtt	13.5 KB
005 TextRank Intuition.mp4	48.2 MB
005 TextRank Intuition_en.vtt	9.8 KB
006 TextRank - How It Really Works (Advanced).mp4	51.7 MB
006 TextRank - How It Really Works (Advanced)_en.vtt	12.2 KB
007 TextRank Exercise Prompt (Advanced).mp4	7.8 MB
007 TextRank Exercise Prompt (Advanced)_en.vtt	1.6 KB
008 TextRank in Python (Advanced).mp4	86.3 MB
008 TextRank in Python (Advanced)_en.vtt	15.3 KB
009 Text Summarization in Python - The Easy Way (Beginner).mp4	47.4 MB
009 Text Summarization in Python - The Easy Way (Beginner)_en.vtt	7.0 KB
010 Text Summarization Section Summary.mp4	21.1 MB
010 Text Summarization Section Summary_en.vtt	4.0 KB
/12 - Topic Modeling/
001 Topic Modeling Section Introduction.mp4	17.9 MB
001 Topic Modeling Section Introduction_en.vtt	3.7 KB
002 Latent Dirichlet Allocation (LDA) - Essentials.mp4	57.9 MB
002 Latent Dirichlet Allocation (LDA) - Essentials_en.vtt	13.7 KB
003 LDA - Code Preparation.mp4	15.2 MB
003 LDA - Code Preparation_en.vtt	4.4 KB
004 LDA - Maybe Useful Picture (Optional).mp4	9.4 MB
004 LDA - Maybe Useful Picture (Optional)_en.vtt	2.3 KB
005 Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4	63.1 MB
005 Latent Dirichlet Allocation (LDA) - Intuition (Advanced)_en.vtt	18.1 KB
006 Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4	75.9 MB
006 Topic Modeling with Latent Dirichlet Allocation (LDA) in Python_en.vtt	11.9 KB
007 Non-Negative Matrix Factorization (NMF) Intuition.mp4	55.0 MB
007 Non-Negative Matrix Factorization (NMF) Intuition_en.vtt	12.4 KB
008 Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.mp4	37.8 MB
008 Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python_en.vtt	4.4 KB
009 Topic Modeling Section Summary.mp4	10.3 MB
009 Topic Modeling Section Summary_en.vtt	1.8 KB
/13 - Latent Semantic Analysis (Latent Semantic Indexing)/
001 LSA LSI Section Introduction.mp4	22.0 MB
001 LSA LSI Section Introduction_en.vtt	4.7 KB
002 SVD (Singular Value Decomposition) Intuition.mp4	85.8 MB
002 SVD (Singular Value Decomposition) Intuition_en.vtt	13.8 KB
003 LSA LSI Applying SVD to NLP.mp4	36.1 MB
003 LSA LSI Applying SVD to NLP_en.vtt	9.2 KB
004 Latent Semantic Analysis Latent Semantic Indexing in Python.mp4	60.3 MB
004 Latent Semantic Analysis Latent Semantic Indexing in Python_en.vtt	9.1 KB
005 LSA LSI Exercises.mp4	30.5 MB
005 LSA LSI Exercises_en.vtt	6.6 KB
/14 - Deep Learning (Introduction)/
001 Deep Learning Introduction (Intermediate-Advanced).mp4	25.7 MB
001 Deep Learning Introduction (Intermediate-Advanced)_en.vtt	6.1 KB
/15 - The Neuron/
001 The Neuron - Section Introduction.mp4	11.5 MB
001 The Neuron - Section Introduction_en.vtt	2.7 KB
002 Fitting a Line.mp4	71.9 MB
002 Fitting a Line_en.vtt	16.5 KB
003 Classification Code Preparation.mp4	34.5 MB
003 Classification Code Preparation_en.vtt	8.6 KB
004 Text Classification in Tensorflow.mp4	85.6 MB
004 Text Classification in Tensorflow_en.vtt	10.5 KB
005 The Neuron.mp4	47.4 MB
005 The Neuron_en.vtt	11.4 KB
006 How does a model learn.mp4	54.1 MB
006 How does a model learn_en.vtt	12.9 KB
007 The Neuron - Section Summary.mp4	10.8 MB
007 The Neuron - Section Summary_en.vtt	2.0 KB
/16 - Feedforward Artificial Neural Networks/
001 ANN - Section Introduction.mp4	40.5 MB
001 ANN - Section Introduction_en.vtt	8.4 KB
002 Forward Propagation.mp4	49.0 MB
002 Forward Propagation_en.vtt	11.2 KB
003 The Geometrical Picture.mp4	59.3 MB
003 The Geometrical Picture_en.vtt	10.6 KB
004 Activation Functions.mp4	93.7 MB
004 Activation Functions_en.vtt	20.5 KB
005 Multiclass Classification.mp4	46.6 MB
005 Multiclass Classification_en.vtt	10.2 KB
006 ANN Code Preparation.mp4	21.1 MB
006 ANN Code Preparation_en.vtt	5.4 KB
007 Text Classification ANN in Tensorflow.mp4	37.9 MB
007 Text Classification ANN in Tensorflow_en.vtt	4.5 KB
008 Text Preprocessing Code Preparation.mp4	52.4 MB
008 Text Preprocessing Code Preparation_en.vtt	13.4 KB
009 Text Preprocessing in Tensorflow.mp4	32.4 MB
009 Text Preprocessing in Tensorflow_en.vtt	5.6 KB
010 Embeddings.mp4	44.3 MB
010 Embeddings_en.vtt	11.3 KB
011 CBOW (Advanced).mp4	16.5 MB
011 CBOW (Advanced)_en.vtt	4.7 KB
012 CBOW Exercise Prompt.mp4	5.3 MB
012 CBOW Exercise Prompt_en.vtt	0.9 KB
013 CBOW in Tensorflow (Advanced).mp4	123.3 MB
013 CBOW in Tensorflow (Advanced)_en.vtt	18.2 KB
014 ANN - Section Summary.mp4	8.0 MB
014 ANN - Section Summary_en.vtt	1.7 KB
015 Aside How to Choose Hyperparameters (Optional).mp4	39.9 MB
015 Aside How to Choose Hyperparameters (Optional)_en.vtt	7.7 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/17 - Convolutional Neural Networks/
001 CNN - Section Introduction.mp4	26.9 MB
001 CNN - Section Introduction_en.vtt	5.3 KB
002 What is Convolution.mp4	83.7 MB
002 What is Convolution_en.vtt	18.5 KB
003 What is Convolution (Pattern Matching).mp4	25.8 MB
003 What is Convolution (Pattern Matching)_en.vtt	6.3 KB
004 What is Convolution (Weight Sharing).mp4	30.2 MB
004 What is Convolution (Weight Sharing)_en.vtt	7.2 KB
005 Convolution on Color Images.mp4	78.8 MB
005 Convolution on Color Images_en.vtt	18.7 KB
006 CNN Architecture.mp4	93.6 MB
006 CNN Architecture_en.vtt	25.6 KB
007 CNNs for Text.mp4	42.4 MB
007 CNNs for Text_en.vtt	8.8 KB
008 Convolutional Neural Network for NLP in Tensorflow.mp4	44.1 MB
008 Convolutional Neural Network for NLP in Tensorflow_en.vtt	4.5 KB
009 CNN - Section Summary.mp4	8.6 MB
009 CNN - Section Summary_en.vtt	1.5 KB
/18 - Recurrent Neural Networks/
001 RNN - Section Introduction.mp4	21.9 MB
001 RNN - Section Introduction_en.vtt	5.7 KB
002 Simple RNN Elman Unit (pt 1).mp4	42.8 MB
002 Simple RNN Elman Unit (pt 1)_en.vtt	10.4 KB
003 Simple RNN Elman Unit (pt 2).mp4	43.2 MB
003 Simple RNN Elman Unit (pt 2)_en.vtt	11.6 KB
004 RNN Code Preparation.mp4	44.2 MB
004 RNN Code Preparation_en.vtt	11.3 KB
005 RNNs Paying Attention to Shapes.mp4	59.9 MB
005 RNNs Paying Attention to Shapes_en.vtt	9.1 KB
006 GRU and LSTM (pt 1).mp4	86.2 MB
006 GRU and LSTM (pt 1)_en.vtt	20.7 KB
007 GRU and LSTM (pt 2).mp4	52.8 MB
007 GRU and LSTM (pt 2)_en.vtt	13.5 KB
008 RNN for Text Classification in Tensorflow.mp4	48.1 MB
008 RNN for Text Classification in Tensorflow_en.vtt	5.0 KB
009 Parts-of-Speech (POS) Tagging in Tensorflow.mp4	152.1 MB
009 Parts-of-Speech (POS) Tagging in Tensorflow_en.vtt	20.3 KB
010 Named Entity Recognition (NER) in Tensorflow.mp4	33.1 MB
010 Named Entity Recognition (NER) in Tensorflow_en.vtt	5.5 KB
011 Exercise Return to CNNs (Advanced).mp4	15.3 MB
011 Exercise Return to CNNs (Advanced)_en.vtt	3.7 KB
012 RNN - Section Summary.mp4	9.5 MB
012 RNN - Section Summary_en.vtt	2.1 KB
/19 - Extras/
001 Data Links.html	0.3 KB
/20 - Setting Up Your Environment FAQ/
001 Anaconda Environment Setup.mp4	55.2 MB
001 Anaconda Environment Setup_en.vtt	17.8 KB
002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	53.4 MB
002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow_en.vtt	12.9 KB
/21 - Extra Help With Python Coding for Beginners FAQ/
001 How to Code by Yourself (part 1).mp4	75.3 MB
001 How to Code by Yourself (part 1)_en.vtt	20.3 KB
002 How to Code by Yourself (part 2).mp4	51.5 MB
002 How to Code by Yourself (part 2)_en.vtt	12.0 KB
003 Proof that using Jupyter Notebook is the same as not using it.mp4	72.8 MB
003 Proof that using Jupyter Notebook is the same as not using it_en.vtt	12.7 KB
/22 - Effective Learning Strategies for Machine Learning FAQ/
001 How to Succeed in this Course (Long Version).mp4	18.7 MB
001 How to Succeed in this Course (Long Version)_en.vtt	13.1 KB
002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.8 MB
002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced_en.vtt	29.0 KB
003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	83.5 MB
003 Machine Learning and AI Prerequisite Roadmap (pt 1)_en.vtt	14.9 KB
004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	113.4 MB
004 Machine Learning and AI Prerequisite Roadmap (pt 2)_en.vtt	21.2 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/23 - Appendix FAQ Finale/
001 What is the Appendix.mp4	17.2 MB
001 What is the Appendix_en.vtt	3.4 KB
002 BONUS.mp4	39.6 MB
002 BONUS_en.vtt	7.1 KB
/
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
Total files 319