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Udemy Machine Learning Natural Language Processing in Python V2

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Downloads:

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Type:

Tutorials

Language:

English

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Category:

Other

Size:

6.7 GB

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Files:

[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
1. Introduction and Outline.mp4 73.0 MB
1. Introduction and Outline.srt 15.5 KB
2. Are You Beginner, Intermediate, or Advanced All are OK!.mp4 26.7 MB
2. Are You Beginner, Intermediate, or Advanced All are OK!.srt 7.2 KB
1. Sentiment Analysis - Problem Description.mp4 42.7 MB
1. Sentiment Analysis - Problem Description.srt 9.8 KB
2. Logistic Regression Intuition (pt 1).mp4 63.6 MB
2. Logistic Regression Intuition (pt 1).srt 22.5 KB
3. Multiclass Logistic Regression (pt 2).mp4 23.6 MB
3. Multiclass Logistic Regression (pt 2).srt 8.5 KB
4. Logistic Regression Training and Interpretation (pt 3).mp4 39.6 MB
4. Logistic Regression Training and Interpretation (pt 3).srt 10.8 KB
5. Sentiment Analysis - Exercise Prompt.mp4 16.6 MB
5. Sentiment Analysis - Exercise Prompt.srt 5.1 KB
6. Sentiment Analysis in Python (pt 1).mp4 63.1 MB
6. Sentiment Analysis in Python (pt 1).srt 11.6 KB
7. Sentiment Analysis in Python (pt 2).mp4 52.0 MB
7. Sentiment Analysis in Python (pt 2).srt 9.7 KB
1. Text Summarization Section Introduction.mp4 25.8 MB
1. Text Summarization Section Introduction.srt 7.5 KB
10. Text Summarization Section Summary.mp4 20.1 MB
10. Text Summarization Section Summary.srt 4.4 KB
2. Text Summarization Using Vectors.mp4 25.8 MB
2. Text Summarization Using Vectors.srt 7.3 KB
3. Text Summarization Exercise Prompt.mp4 8.1 MB
3. Text Summarization Exercise Prompt.srt 2.3 KB
4. Text Summarization in Python.mp4 78.2 MB
4. Text Summarization in Python.srt 15.0 KB
5. TextRank Intuition.mp4 45.9 MB
5. TextRank Intuition.srt 10.9 KB
6. TextRank - How It Really Works (Advanced).mp4 49.3 MB
6. TextRank - How It Really Works (Advanced).srt 13.5 KB
7. TextRank Exercise Prompt (Advanced).mp4 7.5 MB
7. TextRank Exercise Prompt (Advanced).srt 1.7 KB
8. TextRank in Python (Advanced).mp4 82.3 MB
8. TextRank in Python (Advanced).srt 17.1 KB
9. Text Summarization in Python - The Easy Way (Beginner).mp4 45.2 MB
9. Text Summarization in Python - The Easy Way (Beginner).srt 7.8 KB
1. Topic Modeling Section Introduction.mp4 17.0 MB
1. Topic Modeling Section Introduction.srt 4.1 KB
2. Latent Dirichlet Allocation (LDA) - Essentials.mp4 55.2 MB
2. Latent Dirichlet Allocation (LDA) - Essentials.srt 15.2 KB
3. LDA - Code Preparation.mp4 14.5 MB
3. LDA - Code Preparation.srt 4.9 KB
4. LDA - Maybe Useful Picture (Optional).mp4 9.0 MB
4. LDA - Maybe Useful Picture (Optional).srt 2.5 KB
5. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4 60.2 MB
5. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).srt 20.2 KB
6. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4 72.4 MB
6. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.srt 13.3 KB
7. Non-Negative Matrix Factorization (NMF) Intuition.mp4 52.5 MB
7. Non-Negative Matrix Factorization (NMF) Intuition.srt 13.8 KB
8. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.mp4 36.0 MB
8. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.srt 4.9 KB
9. Topic Modeling Section Summary.mp4 9.8 MB
9. Topic Modeling Section Summary.srt 2.0 KB
1. LSA LSI Section Introduction.mp4 21.0 MB
1. LSA LSI Section Introduction.srt 5.2 KB
2. SVD (Singular Value Decomposition) Intuition.mp4 81.8 MB
2. SVD (Singular Value Decomposition) Intuition.srt 15.4 KB
3. LSA LSI Applying SVD to NLP.mp4 34.4 MB
3. LSA LSI Applying SVD to NLP.srt 10.3 KB
4. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4 57.6 MB
4. Latent Semantic Analysis Latent Semantic Indexing in Python.srt 10.1 KB
5. LSA LSI Exercises.mp4 29.1 MB
5. LSA LSI Exercises.srt 7.3 KB
1. Deep Learning Introduction (Intermediate-Advanced).mp4 24.5 MB
1. Deep Learning Introduction (Intermediate-Advanced).srt 6.8 KB
1. The Neuron - Section Introduction.mp4 11.0 MB
1. The Neuron - Section Introduction.srt 2.9 KB
2. Fitting a Line.mp4 68.6 MB
2. Fitting a Line.srt 18.4 KB
3. Classification Code Preparation.mp4 32.9 MB
3. Classification Code Preparation.srt 9.5 KB
4. Text Classification in Tensorflow.mp4 81.7 MB
4. Text Classification in Tensorflow.srt 11.7 KB
5. The Neuron.mp4 45.3 MB
5. The Neuron.srt 12.7 KB
6. How does a model learn.mp4 51.6 MB
6. How does a model learn.srt 14.4 KB
7. The Neuron - Section Summary.mp4 10.3 MB
7. The Neuron - Section Summary.srt 2.2 KB
1. ANN - Section Introduction.mp4 38.6 MB
1. ANN - Section Introduction.srt 9.3 KB
10. Embeddings.mp4 42.3 MB
10. Embeddings.srt 12.6 KB
11. CBOW (Advanced).mp4 15.8 MB
11. CBOW (Advanced).srt 5.2 KB
12. CBOW Exercise Prompt.mp4 5.0 MB
12. CBOW Exercise Prompt.srt 970 bytes
13. CBOW in Tensorflow (Advanced).mp4 117.6 MB
13. CBOW in Tensorflow (Advanced).srt 20.3 KB
14. ANN - Section Summary.mp4 7.6 MB
14. ANN - Section Summary.srt 1.9 KB
15. Aside How to Choose Hyperparameters (Optional).mp4 38.1 MB
15. Aside How to Choose Hyperparameters (Optional).srt 8.6 KB
2. Forward Propagation.mp4 46.7 MB
2. Forward Propagation.srt 12.6 KB
3. The Geometrical Picture.mp4 56.5 MB
3. The Geometrical Picture.srt 11.8 KB
4. Activation Functions.mp4 89.3 MB
4. Activation Functions.srt 22.9 KB
5. Multiclass Classification.mp4 44.4 MB
5. Multiclass Classification.srt 11.3 KB
6. ANN Code Preparation.mp4 20.2 MB
6. ANN Code Preparation.srt 6.0 KB
7. Text Classification ANN in Tensorflow.mp4 36.1 MB
7. Text Classification ANN in Tensorflow.srt 5.0 KB
8. Text Preprocessing Code Preparation.mp4 50.0 MB
8. Text Preprocessing Code Preparation.srt 14.9 KB
9. Text Preprocessing in Tensorflow.mp4 30.9 MB
9. Text Preprocessing in Tensorflow.srt 6.3 KB
1. CNN - Section Introduction.mp4 25.6 MB
1. CNN - Section Introduction.srt 5.9 KB
2. What is Convolution.mp4 79.9 MB
2. What is Convolution.srt 20.7 KB
3. What is Convolution (Pattern Matching).mp4 24.6 MB
3. What is Convolution (Pattern Matching).srt 6.9 KB
4. What is Convolution (Weight Sharing).mp4 29.8 MB
4. What is Convolution (Weight Sharing).srt 8.1 KB
5. Convolution on Color Images.mp4 75.2 MB
5. Convolution on Color Images.srt 20.9 KB
6. CNN Architecture.mp4 89.3 MB
6. CNN Architecture.srt 28.8 KB
7. CNNs for Text.mp4 40.5 MB
7. CNNs for Text.srt 9.8 KB
8. Convolutional Neural Network for NLP in Tensorflow.mp4 42.0 MB
8. Convolutional Neural Network for NLP in Tensorflow.srt 5.0 KB
9. CNN - Section Summary.mp4 8.2 MB
9. CNN - Section Summary.srt 1.7 KB
[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
1. RNN - Section Introduction.mp4 20.9 MB
1. RNN - Section Introduction.srt 6.3 KB
10. Named Entity Recognition (NER) in Tensorflow.mp4 31.5 MB
10. Named Entity Recognition (NER) in Tensorflow.srt 6.1 KB
11. Exercise Return to CNNs (Advanced).mp4 14.6 MB
11. Exercise Return to CNNs (Advanced).srt 4.1 KB
12. RNN - Section Summary.mp4 9.1 MB
12. RNN - Section Summary.srt 2.3 KB
2. Simple RNN Elman Unit (pt 1).mp4 40.8 MB
2. Simple RNN Elman Unit (pt 1).srt 11.6 KB
3. Simple RNN Elman Unit (pt 2).mp4 41.2 MB
3. Simple RNN Elman Unit (pt 2).srt 12.9 KB
4. RNN Code Preparation.mp4 42.1 MB
4. RNN Code Preparation.srt 12.6 KB
5. RNNs Paying Attention to Shapes.mp4 57.2 MB
5. RNNs Paying Attention to Shapes.srt 10.2 KB
6. GRU and LSTM (pt 1).mp4 82.3 MB
6. GRU and LSTM (pt 1).srt 23.3 KB
7. GRU and LSTM (pt 2).mp4 50.3 MB
7. GRU and LSTM (pt 2).srt 15.1 KB
8. RNN for Text Classification in Tensorflow.mp4 45.9 MB
8. RNN for Text Classification in Tensorflow.srt 5.6 KB
9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 145.1 MB
9. Parts-of-Speech (POS) Tagging in Tensorflow.srt 22.6 KB
1. Pre-Installation Check.mp4 22.8 MB
1. Pre-Installation Check.srt 6.6 KB
2. Anaconda Environment Setup.mp4 52.6 MB
2. Anaconda Environment Setup.srt 20.1 KB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 50.9 MB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.6 KB
1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4 43.6 MB
1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt 12.0 KB
1.1 Data Links.html 157 bytes
1.2 Github Link.html 139 bytes
2. How to use Github & Extra Coding Tips (Optional).mp4 63.9 MB
2. How to use Github & Extra Coding Tips (Optional).srt 15.7 KB
3. Where to get the code, notebooks, and data.mp4 17.7 MB
3. Where to get the code, notebooks, and data.srt 4.3 KB
3.1 Code Link.html 125 bytes
3.2 Data Links.html 157 bytes
3.3 Github Link.html 139 bytes
4. How to Succeed in This Course.mp4 41.2 MB
4. How to Succeed in This Course.srt 13.0 KB
5. Temporary 403 Errors.mp4 22.0 MB
5. Temporary 403 Errors.srt 3.7 KB
1. How to Code by Yourself (part 1).mp4 71.9 MB
1. How to Code by Yourself (part 1).srt 22.7 KB
2. How to Code by Yourself (part 2).mp4 49.2 MB
2. How to Code by Yourself (part 2).srt 13.3 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4 69.4 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt 14.3 KB
1. How to Succeed in this Course (Long Version).mp4 17.9 MB
1. How to Succeed in this Course (Long Version).srt 14.5 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39.0 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 32.4 KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.7 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt 16.6 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 108.1 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23.6 KB
1. What is the Appendix.mp4 16.4 MB
1. What is the Appendix.srt 3.8 KB
2. BONUS.mp4 39.8 MB
2. BONUS.srt 7.9 KB
1. Vector Models & Text Preprocessing Intro.mp4 17.5 MB
1. Vector Models & Text Preprocessing Intro.srt 5.0 KB
10. Count Vectorizer (Code).mp4 102.0 MB
10. Count Vectorizer (Code).srt 19.1 KB
11. Vector Similarity.mp4 45.1 MB
11. Vector Similarity.srt 15.2 KB
12. TF-IDF (Theory).mp4 58.6 MB
12. TF-IDF (Theory).srt 18.3 KB
13. (Interactive) Recommender Exercise Prompt.mp4 13.4 MB
13. (Interactive) Recommender Exercise Prompt.srt 3.2 KB
14. TF-IDF (Code).mp4 124.9 MB
14. TF-IDF (Code).srt 24.8 KB
15. Word-to-Index Mapping.mp4 47.6 MB
15. Word-to-Index Mapping.srt 14.8 KB
16. How to Build TF-IDF From Scratch.mp4 79.8 MB
16. How to Build TF-IDF From Scratch.srt 18.6 KB
17. Neural Word Embeddings.mp4 45.5 MB
17. Neural Word Embeddings.srt 13.5 KB
18. Neural Word Embeddings Demo.mp4 66.8 MB
18. Neural Word Embeddings Demo.srt 12.7 KB
19. Vector Models & Text Preprocessing Summary.mp4 20.9 MB
19. Vector Models & Text Preprocessing Summary.srt 4.8 KB
2. Basic Definitions for NLP.mp4 28.4 MB
2. Basic Definitions for NLP.srt 6.7 KB
20. Text Summarization Preview.mp4 6.3 MB
20. Text Summarization Preview.srt 1.7 KB
21. How To Do NLP In Other Languages.mp4 56.0 MB
21. How To Do NLP In Other Languages.srt 14.6 KB
22. Suggestion Box.mp4 27.2 MB
22. Suggestion Box.srt 4.7 KB
3. What is a Vector.mp4 48.9 MB
3. What is a Vector.srt 14.8 KB
4. Bag of Words.mp4 13.9 MB
4. Bag of Words.srt 3.2 KB
5. Count Vectorizer (Theory).mp4 57.4 MB
5. Count Vectorizer (Theory).srt 19.2 KB
6. Tokenization.mp4 73.5 MB
6. Tokenization.srt 19.8 KB
7. Stopwords.mp4 23.4 MB
7. Stopwords.srt 6.3 KB
8. Stemming and Lemmatization.mp4 57.9 MB
8. Stemming and Lemmatization.srt 15.8 KB
9. Stemming and Lemmatization Demo.mp4 74.8 MB
9. Stemming and Lemmatization Demo.srt 13.9 KB
1. Probabilistic Models (Introduction).mp4 26.9 MB
1. Probabilistic Models (Introduction).srt 6.3 KB
1. Markov Models Section Introduction.mp4 13.1 MB
1. Markov Models Section Introduction.srt 3.5 KB
10. Language Model (Exercise Prompt).mp4 28.8 MB
10. Language Model (Exercise Prompt).srt 9.0 KB
11. Language Model (Code pt 1).mp4 62.8 MB
11. Language Model (Code pt 1).srt 13.2 KB
12. Language Model (Code pt 2).mp4 52.4 MB
12. Language Model (Code pt 2).srt 11.3 KB
13. Markov Models Section Summary.mp4 15.6 MB
13. Markov Models Section Summary.srt 4.0 KB
2. The Markov Property.mp4 32.3 MB
2. The Markov Property.srt 9.4 KB
3. The Markov Model.mp4 45.8 MB
3. The Markov Model.srt 16.5 KB
4. Probability Smoothing and Log-Probabilities.mp4 34.1 MB
4. Probability Smoothing and Log-Probabilities.srt 10.3 KB
5. Building a Text Classifier (Theory).mp4 28.9 MB
5. Building a Text Classifier (Theory).srt 9.4 KB
6. Building a Text Classifier (Exercise Prompt).mp4 29.4 MB
6. Building a Text Classifier (Exercise Prompt).srt 8.8 KB
7. Building a Text Classifier (Code pt 1).mp4 57.7 MB
7. Building a Text Classifier (Code pt 1).srt 11.8 KB
8. Building a Text Classifier (Code pt 2).mp4 72.2 MB
8. Building a Text Classifier (Code pt 2).srt 13.8 KB
9. Language Model (Theory).mp4 45.0 MB
9. Language Model (Theory).srt 13.3 KB
[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
1. Article Spinning - Problem Description.mp4 41.9 MB
1. Article Spinning - Problem Description.srt 10.8 KB
2. Article Spinning - N-Gram Approach.mp4 15.9 MB
2. Article Spinning - N-Gram Approach.srt 5.2 KB
3. Article Spinner Exercise Prompt.mp4 24.6 MB
3. Article Spinner Exercise Prompt.srt 7.6 KB
4. Article Spinner in Python (pt 1).mp4 95.9 MB
4. Article Spinner in Python (pt 1).srt 20.7 KB
5. Article Spinner in Python (pt 2).mp4 75.4 MB
5. Article Spinner in Python (pt 2).srt 12.4 KB
6. Case Study Article Spinning Gone Wrong.mp4 28.2 MB
6. Case Study Article Spinning Gone Wrong.srt 7.6 KB
1. Section Introduction.mp4 26.3 MB
1. Section Introduction.srt 6.7 KB
10. Code pt 5.mp4 41.0 MB
10. Code pt 5.srt 8.8 KB
11. Code pt 6.mp4 39.4 MB
11. Code pt 6.srt 7.2 KB
12. Cipher Decryption - Additional Discussion.mp4 14.7 MB
12. Cipher Decryption - Additional Discussion.srt 4.1 KB
13. Section Conclusion.mp4 24.2 MB
13. Section Conclusion.srt 8.3 KB
2. Ciphers.mp4 17.2 MB
2. Ciphers.srt 4.8 KB
3. Language Models (Review).mp4 65.5 MB
3. Language Models (Review).srt 20.5 KB
4. Genetic Algorithms.mp4 105.2 MB
4. Genetic Algorithms.srt 29.2 KB
5. Code Preparation.mp4 20.6 MB
5. Code Preparation.srt 6.7 KB
6. Code pt 1.mp4 16.0 MB
6. Code pt 1.srt 4.1 KB
7. Code pt 2.mp4 39.1 MB
7. Code pt 2.srt 9.3 KB
8. Code pt 3.mp4 29.5 MB
8. Code pt 3.srt 6.1 KB
9. Code pt 4.mp4 25.6 MB
9. Code pt 4.srt 4.8 KB
1. Machine Learning Models (Introduction).mp4 29.6 MB
1. Machine Learning Models (Introduction).srt 7.8 KB
1. Spam Detection - Problem Description.mp4 31.3 MB
1. Spam Detection - Problem Description.srt 8.7 KB
2. Naive Bayes Intuition.mp4 51.3 MB
2. Naive Bayes Intuition.srt 15.2 KB
3. Spam Detection - Exercise Prompt.mp4 8.7 MB
3. Spam Detection - Exercise Prompt.srt 2.6 KB
4. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 60.2 MB
4. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).srt 16.8 KB
5. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 54.0 MB
5. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).srt 14.5 KB
6. Spam Detection in Python.mp4 107.6 MB
6. Spam Detection in Python.srt 19.3 KB

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