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	7.1 GB
Total Files	317
Hash	DA136BE1D6036493969835657CAFBBE9A8A68688

/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.srt	15.8 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.srt	7.4 KB
/02 - Getting Set Up/
001 Data-Links.url	0.1 KB
001 Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4	45.7 MB
001 Get Your Hands Dirty, Practical Coding Experience, Data Links_en.srt	12.3 KB
001 Github-Link.url	0.1 KB
002 How to use Github & Extra Coding Tips (Optional).mp4	67.0 MB
002 How to use Github & Extra Coding Tips (Optional)_en.srt	16.1 KB
external-links.txt	0.2 KB
/03 - Vector Models and Text Preprocessing/
001 Vector Models & Text Preprocessing Intro.mp4	18.4 MB
001 Vector Models & Text Preprocessing Intro_en.srt	5.1 KB
002 Basic Definitions for NLP.mp4	29.7 MB
002 Basic Definitions for NLP_en.srt	6.8 KB
003 What is a Vector.mp4	51.3 MB
003 What is a Vector_en.srt	15.2 KB
004 Bag of Words.mp4	14.5 MB
004 Bag of Words_en.srt	3.2 KB
005 Count Vectorizer (Theory).mp4	60.2 MB
005 Count Vectorizer (Theory)_en.srt	19.6 KB
006 Tokenization.mp4	77.1 MB
006 Tokenization_en.srt	20.3 KB
007 Stopwords.mp4	24.6 MB
007 Stopwords_en.srt	6.5 KB
008 Stemming and Lemmatization.mp4	60.7 MB
008 Stemming and Lemmatization_en.srt	16.2 KB
009 Stemming and Lemmatization Demo.mp4	78.5 MB
009 Stemming and Lemmatization Demo_en.srt	14.2 KB
010 Count Vectorizer (Code).mp4	106.9 MB
010 Count Vectorizer (Code)_en.srt	19.6 KB
011 Vector Similarity.mp4	47.3 MB
011 Vector Similarity_en.srt	15.5 KB
012 TF-IDF (Theory).mp4	61.4 MB
012 TF-IDF (Theory)_en.srt	18.7 KB
013 (Interactive) Recommender Exercise Prompt.mp4	14.0 MB
013 (Interactive) Recommender Exercise Prompt_en.srt	3.3 KB
014 TF-IDF (Code).mp4	131.0 MB
014 TF-IDF (Code)_en.srt	25.4 KB
015 Word-to-Index Mapping.mp4	49.9 MB
015 Word-to-Index Mapping_en.srt	15.2 KB
016 How to Build TF-IDF From Scratch.mp4	83.7 MB
016 How to Build TF-IDF From Scratch_en.srt	19.0 KB
017 Neural Word Embeddings.mp4	47.8 MB
017 Neural Word Embeddings_en.srt	13.8 KB
018 Neural Word Embeddings Demo.mp4	70.1 MB
018 Neural Word Embeddings Demo_en.srt	13.0 KB
019 Vector Models & Text Preprocessing Summary.mp4	21.9 MB
019 Vector Models & Text Preprocessing Summary_en.srt	4.9 KB
020 Text Summarization Preview.mp4	6.6 MB
020 Text Summarization Preview_en.srt	1.7 KB
021 How To Do NLP In Other Languages.mp4	58.7 MB
021 How To Do NLP In Other Languages_en.srt	14.9 KB
022 Suggestion Box.mp4	28.5 MB
022 Suggestion Box_en.srt	4.9 KB
/04 - Probabilistic Models (Introduction)/
001 Probabilistic Models (Introduction).mp4	28.2 MB
001 Probabilistic Models (Introduction)_en.srt	6.4 KB
/05 - Markov Models (Intermediate)/
001 Markov Models Section Introduction.mp4	13.7 MB
001 Markov Models Section Introduction_en.srt	3.5 KB
002 The Markov Property.mp4	33.8 MB
002 The Markov Property_en.srt	9.7 KB
003 The Markov Model.mp4	48.1 MB
003 The Markov Model_en.srt	16.9 KB
004 Probability Smoothing and Log-Probabilities.mp4	35.7 MB
004 Probability Smoothing and Log-Probabilities_en.srt	10.5 KB
005 Building a Text Classifier (Theory).mp4	30.3 MB
005 Building a Text Classifier (Theory)_en.srt	9.7 KB
006 Building a Text Classifier (Exercise Prompt).mp4	30.8 MB
006 Building a Text Classifier (Exercise Prompt)_en.srt	9.0 KB
007 Building a Text Classifier (Code pt 1).mp4	60.5 MB
007 Building a Text Classifier (Code pt 1)_en.srt	12.1 KB
008 Building a Text Classifier (Code pt 2).mp4	75.7 MB
008 Building a Text Classifier (Code pt 2)_en.srt	14.1 KB
009 Language Model (Theory).mp4	47.1 MB
009 Language Model (Theory)_en.srt	13.6 KB
010 Language Model (Exercise Prompt).mp4	30.2 MB
010 Language Model (Exercise Prompt)_en.srt	9.2 KB
011 Language Model (Code pt 1).mp4	65.9 MB
011 Language Model (Code pt 1)_en.srt	13.5 KB
012 Language Model (Code pt 2).mp4	55.0 MB
012 Language Model (Code pt 2)_en.srt	11.6 KB
013 Markov Models Section Summary.mp4	16.3 MB
013 Markov Models Section Summary_en.srt	4.1 KB
/06 - Article Spinner (Intermediate)/
001 Article Spinning - Problem Description.mp4	44.0 MB
001 Article Spinning - Problem Description_en.srt	11.0 KB
002 Article Spinning - N-Gram Approach.mp4	16.7 MB
002 Article Spinning - N-Gram Approach_en.srt	5.3 KB
003 Article Spinner Exercise Prompt.mp4	25.8 MB
003 Article Spinner Exercise Prompt_en.srt	7.8 KB
004 Article Spinner in Python (pt 1).mp4	100.6 MB
004 Article Spinner in Python (pt 1)_en.srt	21.2 KB
005 Article Spinner in Python (pt 2).mp4	79.0 MB
005 Article Spinner in Python (pt 2)_en.srt	12.7 KB
006 Case Study Article Spinning Gone Wrong.mp4	29.6 MB
006 Case Study Article Spinning Gone Wrong_en.srt	7.7 KB
/07 - Cipher Decryption (Advanced)/
001 Section Introduction.mp4	27.6 MB
001 Section Introduction_en.srt	6.8 KB
002 Ciphers.mp4	18.0 MB
002 Ciphers_en.srt	4.9 KB
003 Language Models (Review).mp4	68.7 MB
003 Language Models (Review)_en.srt	21.0 KB
004 Genetic Algorithms.mp4	110.3 MB
004 Genetic Algorithms_en.srt	29.9 KB
005 Code Preparation.mp4	21.6 MB
005 Code Preparation_en.srt	6.9 KB
006 Code pt 1.mp4	16.8 MB
006 Code pt 1_en.srt	4.2 KB
007 Code pt 2.mp4	41.0 MB
007 Code pt 2_en.srt	9.5 KB
008 Code pt 3.mp4	31.0 MB
008 Code pt 3_en.srt	6.3 KB
009 Code pt 4.mp4	26.9 MB
009 Code pt 4_en.srt	5.0 KB
010 Code pt 5.mp4	42.9 MB
010 Code pt 5_en.srt	9.0 KB
011 Code pt 6.mp4	41.3 MB
011 Code pt 6_en.srt	7.4 KB
012 Cipher Decryption - Additional Discussion.mp4	15.4 MB
012 Cipher Decryption - Additional Discussion_en.srt	4.2 KB
013 Section Conclusion.mp4	25.4 MB
013 Section Conclusion_en.srt	8.5 KB
/08 - Machine Learning Models (Introduction)/
001 Machine Learning Models (Introduction).mp4	31.0 MB
001 Machine Learning Models (Introduction)_en.srt	8.0 KB
/09 - Spam Detection/
001 Spam Detection - Problem Description.mp4	32.9 MB
001 Spam Detection - Problem Description_en.srt	8.9 KB
002 Naive Bayes Intuition.mp4	53.8 MB
002 Naive Bayes Intuition_en.srt	15.6 KB
003 Spam Detection - Exercise Prompt.mp4	9.2 MB
003 Spam Detection - Exercise Prompt_en.srt	2.7 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.srt	17.2 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.srt	14.8 KB
006 Spam Detection in Python.mp4	112.8 MB
006 Spam Detection in Python_en.srt	19.7 KB
/10 - Sentiment Analysis/
001 Sentiment Analysis - Problem Description.mp4	44.8 MB
001 Sentiment Analysis - Problem Description_en.srt	10.1 KB
002 Logistic Regression Intuition (pt 1).mp4	66.7 MB
002 Logistic Regression Intuition (pt 1)_en.srt	23.1 KB
003 Multiclass Logistic Regression (pt 2).mp4	24.8 MB
003 Multiclass Logistic Regression (pt 2)_en.srt	8.7 KB
004 Logistic Regression Training and Interpretation (pt 3).mp4	41.6 MB
004 Logistic Regression Training and Interpretation (pt 3)_en.srt	11.1 KB
005 Sentiment Analysis - Exercise Prompt.mp4	17.4 MB
005 Sentiment Analysis - Exercise Prompt_en.srt	5.2 KB
006 Sentiment Analysis in Python (pt 1).mp4	66.2 MB
006 Sentiment Analysis in Python (pt 1)_en.srt	11.9 KB
007 Sentiment Analysis in Python (pt 2).mp4	54.5 MB
007 Sentiment Analysis in Python (pt 2)_en.srt	10.0 KB
/11 - Text Summarization/
001 Text Summarization Section Introduction.mp4	27.0 MB
001 Text Summarization Section Introduction_en.srt	7.7 KB
002 Text Summarization Using Vectors.mp4	27.0 MB
002 Text Summarization Using Vectors_en.srt	7.5 KB
003 Text Summarization Exercise Prompt.mp4	8.5 MB
003 Text Summarization Exercise Prompt_en.srt	2.4 KB
004 Text Summarization in Python.mp4	81.9 MB
004 Text Summarization in Python_en.srt	15.4 KB
005 TextRank Intuition.mp4	48.2 MB
005 TextRank Intuition_en.srt	11.2 KB
006 TextRank - How It Really Works (Advanced).mp4	51.7 MB
006 TextRank - How It Really Works (Advanced)_en.srt	13.8 KB
007 TextRank Exercise Prompt (Advanced).mp4	7.8 MB
007 TextRank Exercise Prompt (Advanced)_en.srt	1.8 KB
008 TextRank in Python (Advanced).mp4	86.3 MB
008 TextRank in Python (Advanced)_en.srt	17.5 KB
009 Text Summarization in Python - The Easy Way (Beginner).mp4	47.4 MB
009 Text Summarization in Python - The Easy Way (Beginner)_en.srt	8.0 KB
010 Text Summarization Section Summary.mp4	21.1 MB
010 Text Summarization Section Summary_en.srt	4.5 KB
/12 - Topic Modeling/
001 Topic Modeling Section Introduction.mp4	17.9 MB
001 Topic Modeling Section Introduction_en.srt	4.2 KB
002 Latent Dirichlet Allocation (LDA) - Essentials.mp4	57.9 MB
002 Latent Dirichlet Allocation (LDA) - Essentials_en.srt	15.5 KB
003 LDA - Code Preparation.mp4	15.2 MB
003 LDA - Code Preparation_en.srt	5.0 KB
004 LDA - Maybe Useful Picture (Optional).mp4	9.4 MB
004 LDA - Maybe Useful Picture (Optional)_en.srt	2.6 KB
005 Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4	63.1 MB
005 Latent Dirichlet Allocation (LDA) - Intuition (Advanced)_en.srt	20.7 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.srt	13.6 KB
007 Non-Negative Matrix Factorization (NMF) Intuition.mp4	55.0 MB
007 Non-Negative Matrix Factorization (NMF) Intuition_en.srt	14.1 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.srt	5.0 KB
009 Topic Modeling Section Summary.mp4	10.3 MB
009 Topic Modeling Section Summary_en.srt	2.0 KB
/13 - Latent Semantic Analysis (Latent Semantic Indexing)/
001 LSA LSI Section Introduction.mp4	22.0 MB
001 LSA LSI Section Introduction_en.srt	5.3 KB
002 SVD (Singular Value Decomposition) Intuition.mp4	85.8 MB
002 SVD (Singular Value Decomposition) Intuition_en.srt	15.8 KB
003 LSA LSI Applying SVD to NLP.mp4	36.1 MB
003 LSA LSI Applying SVD to NLP_en.srt	10.5 KB
004 Latent Semantic Analysis Latent Semantic Indexing in Python.mp4	60.3 MB
004 Latent Semantic Analysis Latent Semantic Indexing in Python_en.srt	10.3 KB
005 LSA LSI Exercises.mp4	30.5 MB
005 LSA LSI Exercises_en.srt	7.5 KB
/14 - Deep Learning (Introduction)/
001 Deep Learning Introduction (Intermediate-Advanced).mp4	25.7 MB
001 Deep Learning Introduction (Intermediate-Advanced)_en.srt	6.9 KB
/15 - The Neuron/
001 The Neuron - Section Introduction.mp4	11.5 MB
001 The Neuron - Section Introduction_en.srt	3.0 KB
002 Fitting a Line.mp4	71.9 MB
002 Fitting a Line_en.srt	18.8 KB
003 Classification Code Preparation.mp4	34.5 MB
003 Classification Code Preparation_en.srt	9.7 KB
004 Text Classification in Tensorflow.mp4	85.6 MB
004 Text Classification in Tensorflow_en.srt	12.0 KB
005 The Neuron.mp4	47.4 MB
005 The Neuron_en.srt	13.0 KB
006 How does a model learn.mp4	54.1 MB
006 How does a model learn_en.srt	14.7 KB
007 The Neuron - Section Summary.mp4	10.8 MB
007 The Neuron - Section Summary_en.srt	2.2 KB
/16 - Feedforward Artificial Neural Networks/
001 ANN - Section Introduction.mp4	40.5 MB
001 ANN - Section Introduction_en.srt	9.5 KB
002 Forward Propagation.mp4	49.0 MB
002 Forward Propagation_en.srt	12.9 KB
003 The Geometrical Picture.mp4	59.3 MB
003 The Geometrical Picture_en.srt	12.1 KB
004 Activation Functions.mp4	93.7 MB
004 Activation Functions_en.srt	23.5 KB
005 Multiclass Classification.mp4	46.6 MB
005 Multiclass Classification_en.srt	11.6 KB
006 ANN Code Preparation.mp4	21.1 MB
006 ANN Code Preparation_en.srt	6.1 KB
007 Text Classification ANN in Tensorflow.mp4	37.9 MB
007 Text Classification ANN in Tensorflow_en.srt	5.1 KB
008 Text Preprocessing Code Preparation.mp4	52.4 MB
008 Text Preprocessing Code Preparation_en.srt	15.2 KB
009 Text Preprocessing in Tensorflow.mp4	32.4 MB
009 Text Preprocessing in Tensorflow_en.srt	6.5 KB
010 Embeddings.mp4	44.3 MB
010 Embeddings_en.srt	12.9 KB
011 CBOW (Advanced).mp4	16.5 MB
011 CBOW (Advanced)_en.srt	5.4 KB
012 CBOW Exercise Prompt.mp4	5.3 MB
012 CBOW Exercise Prompt_en.srt	1.0 KB
013 CBOW in Tensorflow (Advanced).mp4	123.3 MB
013 CBOW in Tensorflow (Advanced)_en.srt	20.8 KB
014 ANN - Section Summary.mp4	8.0 MB
014 ANN - Section Summary_en.srt	2.0 KB
015 Aside How to Choose Hyperparameters (Optional).mp4	39.9 MB
015 Aside How to Choose Hyperparameters (Optional)_en.srt	8.8 KB
/17 - Convolutional Neural Networks/
001 CNN - Section Introduction.mp4	26.9 MB
001 CNN - Section Introduction_en.srt	6.1 KB
002 What is Convolution.mp4	83.7 MB
002 What is Convolution_en.srt	21.2 KB
003 What is Convolution (Pattern Matching).mp4	25.8 MB
003 What is Convolution (Pattern Matching)_en.srt	7.1 KB
004 What is Convolution (Weight Sharing).mp4	30.2 MB
004 What is Convolution (Weight Sharing)_en.srt	8.2 KB
005 Convolution on Color Images.mp4	78.8 MB
005 Convolution on Color Images_en.srt	21.4 KB
006 CNN Architecture.mp4	93.6 MB
006 CNN Architecture_en.srt	29.4 KB
007 CNNs for Text.mp4	42.4 MB
007 CNNs for Text_en.srt	10.0 KB
008 Convolutional Neural Network for NLP in Tensorflow.mp4	44.1 MB
008 Convolutional Neural Network for NLP in Tensorflow_en.srt	5.2 KB
009 CNN - Section Summary.mp4	8.6 MB
009 CNN - Section Summary_en.srt	1.7 KB
/18 - Recurrent Neural Networks/
001 RNN - Section Introduction.mp4	21.9 MB
001 RNN - Section Introduction_en.srt	6.5 KB
002 Simple RNN Elman Unit (pt 1).mp4	42.8 MB
002 Simple RNN Elman Unit (pt 1)_en.srt	11.8 KB
003 Simple RNN Elman Unit (pt 2).mp4	43.2 MB
003 Simple RNN Elman Unit (pt 2)_en.srt	13.2 KB
004 RNN Code Preparation.mp4	44.2 MB
004 RNN Code Preparation_en.srt	12.9 KB
005 RNNs Paying Attention to Shapes.mp4	59.9 MB
005 RNNs Paying Attention to Shapes_en.srt	10.5 KB
006 GRU and LSTM (pt 1).mp4	86.2 MB
006 GRU and LSTM (pt 1)_en.srt	23.8 KB
007 GRU and LSTM (pt 2).mp4	52.8 MB
007 GRU and LSTM (pt 2)_en.srt	15.5 KB
008 RNN for Text Classification in Tensorflow.mp4	48.1 MB
008 RNN for Text Classification in Tensorflow_en.srt	5.7 KB
009 Parts-of-Speech (POS) Tagging in Tensorflow.mp4	152.1 MB
009 Parts-of-Speech (POS) Tagging in Tensorflow_en.srt	23.2 KB
010 Named Entity Recognition (NER) in Tensorflow.mp4	33.1 MB
010 Named Entity Recognition (NER) in Tensorflow_en.srt	6.3 KB
011 Exercise Return to CNNs (Advanced).mp4	15.3 MB
011 Exercise Return to CNNs (Advanced)_en.srt	4.2 KB
012 RNN - Section Summary.mp4	9.5 MB
012 RNN - Section Summary_en.srt	2.4 KB
/19 - Setting Up Your Environment FAQ/
001 Anaconda Environment Setup.mp4	55.2 MB
001 Anaconda Environment Setup_en.srt	20.6 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.srt	15.0 KB
/20 - Extra Help With Python Coding for Beginners FAQ/
001 Code-Link.url	0.1 KB
001 Data-Links.url	0.1 KB
001 Github-Link.url	0.1 KB
001 Where to get the code, notebooks, and data.mp4	18.6 MB
001 Where to get the code, notebooks, and data_en.srt	4.4 KB
002 How to Code by Yourself (part 1).mp4	75.3 MB
002 How to Code by Yourself (part 1)_en.srt	23.2 KB
003 How to Code by Yourself (part 2).mp4	51.5 MB
003 How to Code by Yourself (part 2)_en.srt	13.6 KB
004 Proof that using Jupyter Notebook is the same as not using it.mp4	72.8 MB
004 Proof that using Jupyter Notebook is the same as not using it_en.srt	14.7 KB
external-links.txt	0.3 KB
/21 - 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.srt	14.9 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.srt	33.2 KB
003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	83.5 MB
003 Machine Learning and AI Prerequisite Roadmap (pt 1)_en.srt	17.0 KB
004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	113.4 MB
004 Machine Learning and AI Prerequisite Roadmap (pt 2)_en.srt	24.2 KB
/22 - Appendix FAQ Finale/
001 What is the Appendix.mp4	17.2 MB
001 What is the Appendix_en.srt	3.9 KB
002 BONUS.mp4	41.8 MB
002 BONUS_en.srt	8.1 KB
/
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
Total files 317