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[GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)

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File Name
Size
0. Websites you may like/[CourseClub.Me].url
122 B
0. Websites you may like/[GigaCourse.Com].url
49 B
1. Introduction/1. Introduction and Outline.mp4
73 MB
1. Introduction/1. Introduction and Outline.srt
16 kB
1. Introduction/2. Are You Beginner, Intermediate, or Advanced All are OK!.mp4
27 MB
1. Introduction/2. Are You Beginner, Intermediate, or Advanced All are OK!.srt
7.2 kB
10. Sentiment Analysis/0. Websites you may like/[CourseClub.Me].url
122 B
10. Sentiment Analysis/0. Websites you may like/[GigaCourse.Com].url
49 B
10. Sentiment Analysis/1. Sentiment Analysis - Problem Description.mp4
43 MB
10. Sentiment Analysis/1. Sentiment Analysis - Problem Description.srt
9.8 kB
10. Sentiment Analysis/2. Logistic Regression Intuition (pt 1).mp4
64 MB
10. Sentiment Analysis/2. Logistic Regression Intuition (pt 1).srt
22 kB
10. Sentiment Analysis/3. Multiclass Logistic Regression (pt 2).mp4
24 MB
10. Sentiment Analysis/3. Multiclass Logistic Regression (pt 2).srt
8.5 kB
10. Sentiment Analysis/4. Logistic Regression Training and Interpretation (pt 3).mp4
40 MB
10. Sentiment Analysis/4. Logistic Regression Training and Interpretation (pt 3).srt
11 kB
10. Sentiment Analysis/5. Sentiment Analysis - Exercise Prompt.mp4
17 MB
10. Sentiment Analysis/5. Sentiment Analysis - Exercise Prompt.srt
5.1 kB
10. Sentiment Analysis/6. Sentiment Analysis in Python (pt 1).mp4
63 MB
10. Sentiment Analysis/6. Sentiment Analysis in Python (pt 1).srt
12 kB
10. Sentiment Analysis/7. Sentiment Analysis in Python (pt 2).mp4
52 MB
10. Sentiment Analysis/7. Sentiment Analysis in Python (pt 2).srt
9.7 kB
10. Sentiment Analysis/[CourseClub.Me].url
122 B
10. Sentiment Analysis/[GigaCourse.Com].url
49 B
11. Text Summarization/1. Text Summarization Section Introduction.mp4
26 MB
11. Text Summarization/1. Text Summarization Section Introduction.srt
7.5 kB
11. Text Summarization/10. Text Summarization Section Summary.mp4
20 MB
11. Text Summarization/10. Text Summarization Section Summary.srt
4.4 kB
11. Text Summarization/2. Text Summarization Using Vectors.mp4
26 MB
11. Text Summarization/2. Text Summarization Using Vectors.srt
7.3 kB
11. Text Summarization/3. Text Summarization Exercise Prompt.mp4
8.1 MB
11. Text Summarization/3. Text Summarization Exercise Prompt.srt
2.3 kB
11. Text Summarization/4. Text Summarization in Python.mp4
78 MB
11. Text Summarization/4. Text Summarization in Python.srt
15 kB
11. Text Summarization/5. TextRank Intuition.mp4
46 MB
11. Text Summarization/5. TextRank Intuition.srt
11 kB
11. Text Summarization/6. TextRank - How It Really Works (Advanced).mp4
49 MB
11. Text Summarization/6. TextRank - How It Really Works (Advanced).srt
14 kB
11. Text Summarization/7. TextRank Exercise Prompt (Advanced).mp4
7.5 MB
11. Text Summarization/7. TextRank Exercise Prompt (Advanced).srt
1.7 kB
11. Text Summarization/8. TextRank in Python (Advanced).mp4
82 MB
11. Text Summarization/8. TextRank in Python (Advanced).srt
17 kB
11. Text Summarization/9. Text Summarization in Python - The Easy Way (Beginner).mp4
45 MB
11. Text Summarization/9. Text Summarization in Python - The Easy Way (Beginner).srt
7.8 kB
12. Topic Modeling/1. Topic Modeling Section Introduction.mp4
17 MB
12. Topic Modeling/1. Topic Modeling Section Introduction.srt
4.1 kB
12. Topic Modeling/2. Latent Dirichlet Allocation (LDA) - Essentials.mp4
55 MB
12. Topic Modeling/2. Latent Dirichlet Allocation (LDA) - Essentials.srt
15 kB
12. Topic Modeling/3. LDA - Code Preparation.mp4
14 MB
12. Topic Modeling/3. LDA - Code Preparation.srt
4.9 kB
12. Topic Modeling/4. LDA - Maybe Useful Picture (Optional).mp4
9.0 MB
12. Topic Modeling/4. LDA - Maybe Useful Picture (Optional).srt
2.5 kB
12. Topic Modeling/5. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4
60 MB
12. Topic Modeling/5. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).srt
20 kB
12. Topic Modeling/6. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4
72 MB
12. Topic Modeling/6. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.srt
13 kB
12. Topic Modeling/7. Non-Negative Matrix Factorization (NMF) Intuition.mp4
52 MB
12. Topic Modeling/7. Non-Negative Matrix Factorization (NMF) Intuition.srt
14 kB
12. Topic Modeling/8. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.mp4
36 MB
12. Topic Modeling/8. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.srt
4.9 kB
12. Topic Modeling/9. Topic Modeling Section Summary.mp4
9.8 MB
12. Topic Modeling/9. Topic Modeling Section Summary.srt
2.0 kB
13. Latent Semantic Analysis (Latent Semantic Indexing)/1. LSA LSI Section Introduction.mp4
21 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/1. LSA LSI Section Introduction.srt
5.2 kB
13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4
82 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.srt
15 kB
13. Latent Semantic Analysis (Latent Semantic Indexing)/3. LSA LSI Applying SVD to NLP.mp4
34 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/3. LSA LSI Applying SVD to NLP.srt
10 kB
13. Latent Semantic Analysis (Latent Semantic Indexing)/4. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4
58 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/4. Latent Semantic Analysis Latent Semantic Indexing in Python.srt
10 kB
13. Latent Semantic Analysis (Latent Semantic Indexing)/5. LSA LSI Exercises.mp4
29 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/5. LSA LSI Exercises.srt
7.3 kB
14. Deep Learning (Introduction)/1. Deep Learning Introduction (Intermediate-Advanced).mp4
24 MB
14. Deep Learning (Introduction)/1. Deep Learning Introduction (Intermediate-Advanced).srt
6.8 kB
15. The Neuron/1. The Neuron - Section Introduction.mp4
11 MB
15. The Neuron/1. The Neuron - Section Introduction.srt
2.9 kB
15. The Neuron/2. Fitting a Line.mp4
69 MB
15. The Neuron/2. Fitting a Line.srt
18 kB
15. The Neuron/3. Classification Code Preparation.mp4
33 MB
15. The Neuron/3. Classification Code Preparation.srt
9.5 kB
15. The Neuron/4. Text Classification in Tensorflow.mp4
82 MB
15. The Neuron/4. Text Classification in Tensorflow.srt
12 kB
15. The Neuron/5. The Neuron.mp4
45 MB
15. The Neuron/5. The Neuron.srt
13 kB
15. The Neuron/6. How does a model learn.mp4
52 MB
15. The Neuron/6. How does a model learn.srt
14 kB
15. The Neuron/7. The Neuron - Section Summary.mp4
10 MB
15. The Neuron/7. The Neuron - Section Summary.srt
2.2 kB
16. Feedforward Artificial Neural Networks/1. ANN - Section Introduction.mp4
39 MB
16. Feedforward Artificial Neural Networks/1. ANN - Section Introduction.srt
9.3 kB
16. Feedforward Artificial Neural Networks/10. Embeddings.mp4
42 MB
16. Feedforward Artificial Neural Networks/10. Embeddings.srt
13 kB
16. Feedforward Artificial Neural Networks/11. CBOW (Advanced).mp4
16 MB
16. Feedforward Artificial Neural Networks/11. CBOW (Advanced).srt
5.2 kB
16. Feedforward Artificial Neural Networks/12. CBOW Exercise Prompt.mp4
5.0 MB
16. Feedforward Artificial Neural Networks/12. CBOW Exercise Prompt.srt
970 B
16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4
118 MB
16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).srt
20 kB
16. Feedforward Artificial Neural Networks/14. ANN - Section Summary.mp4
7.6 MB
16. Feedforward Artificial Neural Networks/14. ANN - Section Summary.srt
1.9 kB
16. Feedforward Artificial Neural Networks/15. Aside How to Choose Hyperparameters (Optional).mp4
38 MB
16. Feedforward Artificial Neural Networks/15. Aside How to Choose Hyperparameters (Optional).srt
8.6 kB
16. Feedforward Artificial Neural Networks/2. Forward Propagation.mp4
47 MB
16. Feedforward Artificial Neural Networks/2. Forward Propagation.srt
13 kB
16. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4
56 MB
16. Feedforward Artificial Neural Networks/3. The Geometrical Picture.srt
12 kB
16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4
89 MB
16. Feedforward Artificial Neural Networks/4. Activation Functions.srt
23 kB
16. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4
44 MB
16. Feedforward Artificial Neural Networks/5. Multiclass Classification.srt
11 kB
16. Feedforward Artificial Neural Networks/6. ANN Code Preparation.mp4
20 MB
16. Feedforward Artificial Neural Networks/6. ANN Code Preparation.srt
6.0 kB
16. Feedforward Artificial Neural Networks/7. Text Classification ANN in Tensorflow.mp4
36 MB
16. Feedforward Artificial Neural Networks/7. Text Classification ANN in Tensorflow.srt
5.0 kB
16. Feedforward Artificial Neural Networks/8. Text Preprocessing Code Preparation.mp4
50 MB
16. Feedforward Artificial Neural Networks/8. Text Preprocessing Code Preparation.srt
15 kB
16. Feedforward Artificial Neural Networks/9. Text Preprocessing in Tensorflow.mp4
31 MB
16. Feedforward Artificial Neural Networks/9. Text Preprocessing in Tensorflow.srt
6.3 kB
17. Convolutional Neural Networks/1. CNN - Section Introduction.mp4
26 MB
17. Convolutional Neural Networks/1. CNN - Section Introduction.srt
5.9 kB
17. Convolutional Neural Networks/2. What is Convolution.mp4
80 MB
17. Convolutional Neural Networks/2. What is Convolution.srt
21 kB
17. Convolutional Neural Networks/3. What is Convolution (Pattern Matching).mp4
25 MB
17. Convolutional Neural Networks/3. What is Convolution (Pattern Matching).srt
6.9 kB
17. Convolutional Neural Networks/4. What is Convolution (Weight Sharing).mp4
30 MB
17. Convolutional Neural Networks/4. What is Convolution (Weight Sharing).srt
8.1 kB
17. Convolutional Neural Networks/5. Convolution on Color Images.mp4
75 MB
17. Convolutional Neural Networks/5. Convolution on Color Images.srt
21 kB
17. Convolutional Neural Networks/6. CNN Architecture.mp4
89 MB
17. Convolutional Neural Networks/6. CNN Architecture.srt
29 kB
17. Convolutional Neural Networks/7. CNNs for Text.mp4
40 MB
17. Convolutional Neural Networks/7. CNNs for Text.srt
9.8 kB
17. Convolutional Neural Networks/8. Convolutional Neural Network for NLP in Tensorflow.mp4
42 MB
17. Convolutional Neural Networks/8. Convolutional Neural Network for NLP in Tensorflow.srt
5.0 kB
17. Convolutional Neural Networks/9. CNN - Section Summary.mp4
8.2 MB
17. Convolutional Neural Networks/9. CNN - Section Summary.srt
1.7 kB
18. Recurrent Neural Networks/1. RNN - Section Introduction.mp4
21 MB
18. Recurrent Neural Networks/1. RNN - Section Introduction.srt
6.3 kB
18. Recurrent Neural Networks/10. Named Entity Recognition (NER) in Tensorflow.mp4
32 MB
18. Recurrent Neural Networks/10. Named Entity Recognition (NER) in Tensorflow.srt
6.1 kB
18. Recurrent Neural Networks/11. Exercise Return to CNNs (Advanced).mp4
15 MB
18. Recurrent Neural Networks/11. Exercise Return to CNNs (Advanced).srt
4.1 kB
18. Recurrent Neural Networks/12. RNN - Section Summary.mp4
9.1 MB
18. Recurrent Neural Networks/12. RNN - Section Summary.srt
2.3 kB
18. Recurrent Neural Networks/2. Simple RNN Elman Unit (pt 1).mp4
41 MB
18. Recurrent Neural Networks/2. Simple RNN Elman Unit (pt 1).srt
12 kB
18. Recurrent Neural Networks/3. Simple RNN Elman Unit (pt 2).mp4
41 MB
18. Recurrent Neural Networks/3. Simple RNN Elman Unit (pt 2).srt
13 kB
18. Recurrent Neural Networks/4. RNN Code Preparation.mp4
42 MB
18. Recurrent Neural Networks/4. RNN Code Preparation.srt
13 kB
18. Recurrent Neural Networks/5. RNNs Paying Attention to Shapes.mp4
57 MB
18. Recurrent Neural Networks/5. RNNs Paying Attention to Shapes.srt
10 kB
18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4
82 MB
18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).srt
23 kB
18. Recurrent Neural Networks/7. GRU and LSTM (pt 2).mp4
50 MB
18. Recurrent Neural Networks/7. GRU and LSTM (pt 2).srt
15 kB
18. Recurrent Neural Networks/8. RNN for Text Classification in Tensorflow.mp4
46 MB
18. Recurrent Neural Networks/8. RNN for Text Classification in Tensorflow.srt
5.6 kB
18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4
145 MB
18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.srt
23 kB
19. Setting Up Your Environment FAQ/1. Pre-Installation Check.mp4
23 MB
19. Setting Up Your Environment FAQ/1. Pre-Installation Check.srt
6.6 kB
19. Setting Up Your Environment FAQ/2. Anaconda Environment Setup.mp4
53 MB
19. Setting Up Your Environment FAQ/2. Anaconda Environment Setup.srt
20 kB
19. Setting Up Your Environment FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
51 MB
19. Setting Up Your Environment FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
15 kB
2. Getting Set Up/1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4
44 MB
2. Getting Set Up/1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt
12 kB
2. Getting Set Up/1.1 Data Links.html
157 B
2. Getting Set Up/1.2 Github Link.html
139 B
2. Getting Set Up/2. How to use Github & Extra Coding Tips (Optional).mp4
64 MB
2. Getting Set Up/2. How to use Github & Extra Coding Tips (Optional).srt
16 kB
2. Getting Set Up/3. Where to get the code, notebooks, and data.mp4
18 MB
2. Getting Set Up/3. Where to get the code, notebooks, and data.srt
4.3 kB
2. Getting Set Up/3.1 Code Link.html
125 B
2. Getting Set Up/3.2 Data Links.html
157 B
2. Getting Set Up/3.3 Github Link.html
139 B
2. Getting Set Up/4. How to Succeed in This Course.mp4
41 MB
2. Getting Set Up/4. How to Succeed in This Course.srt
13 kB
2. Getting Set Up/5. Temporary 403 Errors.mp4
22 MB
2. Getting Set Up/5. Temporary 403 Errors.srt
3.7 kB
20. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp4
72 MB
20. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).srt
23 kB
20. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp4
49 MB
20. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).srt
13 kB
20. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4
69 MB
20. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.srt
14 kB
21. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp4
18 MB
21. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).srt
14 kB
21. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
39 MB
21. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
32 kB
21. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
80 MB
21. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
17 kB
21. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
108 MB
21. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
24 kB
22. Appendix FAQ Finale/1. What is the Appendix.mp4
16 MB
22. Appendix FAQ Finale/1. What is the Appendix.srt
3.8 kB
22. Appendix FAQ Finale/2. BONUS.mp4
40 MB
22. Appendix FAQ Finale/2. BONUS.srt
7.9 kB
3. Vector Models and Text Preprocessing/1. Vector Models & Text Preprocessing Intro.mp4
18 MB
3. Vector Models and Text Preprocessing/1. Vector Models & Text Preprocessing Intro.srt
5.0 kB
3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4
102 MB
3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).srt
19 kB
3. Vector Models and Text Preprocessing/11. Vector Similarity.mp4
45 MB
3. Vector Models and Text Preprocessing/11. Vector Similarity.srt
15 kB
3. Vector Models and Text Preprocessing/12. TF-IDF (Theory).mp4
59 MB
3. Vector Models and Text Preprocessing/12. TF-IDF (Theory).srt
18 kB
3. Vector Models and Text Preprocessing/13. (Interactive) Recommender Exercise Prompt.mp4
13 MB
3. Vector Models and Text Preprocessing/13. (Interactive) Recommender Exercise Prompt.srt
3.2 kB
3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4
125 MB
3. Vector Models and Text Preprocessing/14. TF-IDF (Code).srt
25 kB
3. Vector Models and Text Preprocessing/15. Word-to-Index Mapping.mp4
48 MB
3. Vector Models and Text Preprocessing/15. Word-to-Index Mapping.srt
15 kB
3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4
80 MB
3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.srt
19 kB
3. Vector Models and Text Preprocessing/17. Neural Word Embeddings.mp4
46 MB
3. Vector Models and Text Preprocessing/17. Neural Word Embeddings.srt
14 kB
3. Vector Models and Text Preprocessing/18. Neural Word Embeddings Demo.mp4
67 MB
3. Vector Models and Text Preprocessing/18. Neural Word Embeddings Demo.srt
13 kB
3. Vector Models and Text Preprocessing/19. Vector Models & Text Preprocessing Summary.mp4
21 MB
3. Vector Models and Text Preprocessing/19. Vector Models & Text Preprocessing Summary.srt
4.8 kB
3. Vector Models and Text Preprocessing/2. Basic Definitions for NLP.mp4
28 MB
3. Vector Models and Text Preprocessing/2. Basic Definitions for NLP.srt
6.7 kB
3. Vector Models and Text Preprocessing/20. Text Summarization Preview.mp4
6.3 MB
3. Vector Models and Text Preprocessing/20. Text Summarization Preview.srt
1.7 kB
3. Vector Models and Text Preprocessing/21. How To Do NLP In Other Languages.mp4
56 MB
3. Vector Models and Text Preprocessing/21. How To Do NLP In Other Languages.srt
15 kB
3. Vector Models and Text Preprocessing/22. Suggestion Box.mp4
27 MB
3. Vector Models and Text Preprocessing/22. Suggestion Box.srt
4.7 kB
3. Vector Models and Text Preprocessing/3. What is a Vector.mp4
49 MB
3. Vector Models and Text Preprocessing/3. What is a Vector.srt
15 kB
3. Vector Models and Text Preprocessing/4. Bag of Words.mp4
14 MB
3. Vector Models and Text Preprocessing/4. Bag of Words.srt
3.2 kB
3. Vector Models and Text Preprocessing/5. Count Vectorizer (Theory).mp4
57 MB
3. Vector Models and Text Preprocessing/5. Count Vectorizer (Theory).srt
19 kB
3. Vector Models and Text Preprocessing/6. Tokenization.mp4
74 MB
3. Vector Models and Text Preprocessing/6. Tokenization.srt
20 kB
3. Vector Models and Text Preprocessing/7. Stopwords.mp4
23 MB
3. Vector Models and Text Preprocessing/7. Stopwords.srt
6.3 kB
3. Vector Models and Text Preprocessing/8. Stemming and Lemmatization.mp4
58 MB
3. Vector Models and Text Preprocessing/8. Stemming and Lemmatization.srt
16 kB
3. Vector Models and Text Preprocessing/9. Stemming and Lemmatization Demo.mp4
75 MB
3. Vector Models and Text Preprocessing/9. Stemming and Lemmatization Demo.srt
14 kB
4. Probabilistic Models (Introduction)/1. Probabilistic Models (Introduction).mp4
27 MB
4. Probabilistic Models (Introduction)/1. Probabilistic Models (Introduction).srt
6.3 kB
5. Markov Models (Intermediate)/1. Markov Models Section Introduction.mp4
13 MB
5. Markov Models (Intermediate)/1. Markov Models Section Introduction.srt
3.5 kB
5. Markov Models (Intermediate)/10. Language Model (Exercise Prompt).mp4
29 MB
5. Markov Models (Intermediate)/10. Language Model (Exercise Prompt).srt
9.0 kB
5. Markov Models (Intermediate)/11. Language Model (Code pt 1).mp4
63 MB
5. Markov Models (Intermediate)/11. Language Model (Code pt 1).srt
13 kB
5. Markov Models (Intermediate)/12. Language Model (Code pt 2).mp4
52 MB
5. Markov Models (Intermediate)/12. Language Model (Code pt 2).srt
11 kB
5. Markov Models (Intermediate)/13. Markov Models Section Summary.mp4
16 MB
5. Markov Models (Intermediate)/13. Markov Models Section Summary.srt
4.0 kB
5. Markov Models (Intermediate)/2. The Markov Property.mp4
32 MB
5. Markov Models (Intermediate)/2. The Markov Property.srt
9.4 kB
5. Markov Models (Intermediate)/3. The Markov Model.mp4
46 MB
5. Markov Models (Intermediate)/3. The Markov Model.srt
16 kB
5. Markov Models (Intermediate)/4. Probability Smoothing and Log-Probabilities.mp4
34 MB
5. Markov Models (Intermediate)/4. Probability Smoothing and Log-Probabilities.srt
10 kB
5. Markov Models (Intermediate)/5. Building a Text Classifier (Theory).mp4
29 MB
5. Markov Models (Intermediate)/5. Building a Text Classifier (Theory).srt
9.4 kB
5. Markov Models (Intermediate)/6. Building a Text Classifier (Exercise Prompt).mp4
29 MB
5. Markov Models (Intermediate)/6. Building a Text Classifier (Exercise Prompt).srt
8.8 kB
5. Markov Models (Intermediate)/7. Building a Text Classifier (Code pt 1).mp4
58 MB
5. Markov Models (Intermediate)/7. Building a Text Classifier (Code pt 1).srt
12 kB
5. Markov Models (Intermediate)/8. Building a Text Classifier (Code pt 2).mp4
72 MB
5. Markov Models (Intermediate)/8. Building a Text Classifier (Code pt 2).srt
14 kB
5. Markov Models (Intermediate)/9. Language Model (Theory).mp4
45 MB
5. Markov Models (Intermediate)/9. Language Model (Theory).srt
13 kB
6. Article Spinner (Intermediate)/1. Article Spinning - Problem Description.mp4
42 MB
6. Article Spinner (Intermediate)/1. Article Spinning - Problem Description.srt
11 kB
6. Article Spinner (Intermediate)/2. Article Spinning - N-Gram Approach.mp4
16 MB
6. Article Spinner (Intermediate)/2. Article Spinning - N-Gram Approach.srt
5.2 kB
6. Article Spinner (Intermediate)/3. Article Spinner Exercise Prompt.mp4
25 MB
6. Article Spinner (Intermediate)/3. Article Spinner Exercise Prompt.srt
7.6 kB
6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).mp4
96 MB
6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).srt
21 kB
6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).mp4
75 MB
6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).srt
12 kB
6. Article Spinner (Intermediate)/6. Case Study Article Spinning Gone Wrong.mp4
28 MB
6. Article Spinner (Intermediate)/6. Case Study Article Spinning Gone Wrong.srt
7.6 kB
7. Cipher Decryption (Advanced)/1. Section Introduction.mp4
26 MB
7. Cipher Decryption (Advanced)/1. Section Introduction.srt
6.7 kB
7. Cipher Decryption (Advanced)/10. Code pt 5.mp4
41 MB
7. Cipher Decryption (Advanced)/10. Code pt 5.srt
8.8 kB
7. Cipher Decryption (Advanced)/11. Code pt 6.mp4
39 MB
7. Cipher Decryption (Advanced)/11. Code pt 6.srt
7.2 kB
7. Cipher Decryption (Advanced)/12. Cipher Decryption - Additional Discussion.mp4
15 MB
7. Cipher Decryption (Advanced)/12. Cipher Decryption - Additional Discussion.srt
4.1 kB
7. Cipher Decryption (Advanced)/13. Section Conclusion.mp4
24 MB
7. Cipher Decryption (Advanced)/13. Section Conclusion.srt
8.3 kB
7. Cipher Decryption (Advanced)/2. Ciphers.mp4
17 MB
7. Cipher Decryption (Advanced)/2. Ciphers.srt
4.8 kB
7. Cipher Decryption (Advanced)/3. Language Models (Review).mp4
66 MB
7. Cipher Decryption (Advanced)/3. Language Models (Review).srt
20 kB
7. Cipher Decryption (Advanced)/4. Genetic Algorithms.mp4
105 MB
7. Cipher Decryption (Advanced)/4. Genetic Algorithms.srt
29 kB
7. Cipher Decryption (Advanced)/5. Code Preparation.mp4
21 MB
7. Cipher Decryption (Advanced)/5. Code Preparation.srt
6.7 kB
7. Cipher Decryption (Advanced)/6. Code pt 1.mp4
16 MB
7. Cipher Decryption (Advanced)/6. Code pt 1.srt
4.1 kB
7. Cipher Decryption (Advanced)/7. Code pt 2.mp4
39 MB
7. Cipher Decryption (Advanced)/7. Code pt 2.srt
9.3 kB
7. Cipher Decryption (Advanced)/8. Code pt 3.mp4
30 MB
7. Cipher Decryption (Advanced)/8. Code pt 3.srt
6.1 kB
7. Cipher Decryption (Advanced)/9. Code pt 4.mp4
26 MB
7. Cipher Decryption (Advanced)/9. Code pt 4.srt
4.8 kB
8. Machine Learning Models (Introduction)/1. Machine Learning Models (Introduction).mp4
30 MB
8. Machine Learning Models (Introduction)/1. Machine Learning Models (Introduction).srt
7.8 kB
9. Spam Detection/1. Spam Detection - Problem Description.mp4
31 MB
9. Spam Detection/1. Spam Detection - Problem Description.srt
8.7 kB
9. Spam Detection/2. Naive Bayes Intuition.mp4
51 MB
9. Spam Detection/2. Naive Bayes Intuition.srt
15 kB
9. Spam Detection/3. Spam Detection - Exercise Prompt.mp4
8.7 MB
9. Spam Detection/3. Spam Detection - Exercise Prompt.srt
2.6 kB
9. Spam Detection/4. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4
60 MB
9. Spam Detection/4. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).srt
17 kB
9. Spam Detection/5. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4
54 MB
9. Spam Detection/5. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).srt
14 kB
9. Spam Detection/6. Spam Detection in Python.mp4
108 MB
9. Spam Detection/6. Spam Detection in Python.srt
19 kB
[CourseClub.Me].url
122 B
[GigaCourse.Com].url
49 B