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

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Report [GigaCourse Com] Udemy - Machine Learning Natural Language Processing in Python (V2)
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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
7838A37F4013B7920299208AE9E6F98748E05B45
Source
Unverified
Total Size
6.74 GB
Total Files
100
Seeders
0
Leechers
0
Health
Score
0
Type
Bookware

File List

FileSize
0. Websites you may like/[CourseClub.Me].url122 B
0. Websites you may like/[GigaCourse.Com].url49 B
1. Introduction/1. Introduction and Outline.mp472.97 MB
1. Introduction/1. Introduction and Outline.srt15.47 KB
1. Introduction/2. Are You Beginner, Intermediate, or Advanced All are OK!.mp426.66 MB
1. Introduction/2. Are You Beginner, Intermediate, or Advanced All are OK!.srt7.22 KB
10. Sentiment Analysis/1. Sentiment Analysis - Problem Description.mp442.71 MB
10. Sentiment Analysis/1. Sentiment Analysis - Problem Description.srt9.84 KB
10. Sentiment Analysis/2. Logistic Regression Intuition (pt 1).mp463.58 MB
10. Sentiment Analysis/2. Logistic Regression Intuition (pt 1).srt22.54 KB
10. Sentiment Analysis/3. Multiclass Logistic Regression (pt 2).mp423.61 MB
10. Sentiment Analysis/3. Multiclass Logistic Regression (pt 2).srt8.46 KB
10. Sentiment Analysis/4. Logistic Regression Training and Interpretation (pt 3).mp439.63 MB
10. Sentiment Analysis/4. Logistic Regression Training and Interpretation (pt 3).srt10.83 KB
10. Sentiment Analysis/5. Sentiment Analysis - Exercise Prompt.mp416.56 MB
10. Sentiment Analysis/5. Sentiment Analysis - Exercise Prompt.srt5.09 KB
10. Sentiment Analysis/6. Sentiment Analysis in Python (pt 1).mp463.16 MB
10. Sentiment Analysis/6. Sentiment Analysis in Python (pt 1).srt11.63 KB
10. Sentiment Analysis/7. Sentiment Analysis in Python (pt 2).mp451.97 MB
10. Sentiment Analysis/7. Sentiment Analysis in Python (pt 2).srt9.74 KB
11. Text Summarization/1. Text Summarization Section Introduction.mp425.75 MB
11. Text Summarization/1. Text Summarization Section Introduction.srt7.55 KB
11. Text Summarization/10. Text Summarization Section Summary.mp420.1 MB
11. Text Summarization/10. Text Summarization Section Summary.srt4.41 KB
11. Text Summarization/2. Text Summarization Using Vectors.mp425.77 MB
11. Text Summarization/2. Text Summarization Using Vectors.srt7.3 KB
11. Text Summarization/3. Text Summarization Exercise Prompt.mp48.11 MB
11. Text Summarization/3. Text Summarization Exercise Prompt.srt2.3 KB
11. Text Summarization/4. Text Summarization in Python.mp478.16 MB
11. Text Summarization/4. Text Summarization in Python.srt15.01 KB
11. Text Summarization/5. TextRank Intuition.mp445.93 MB
11. Text Summarization/5. TextRank Intuition.srt10.91 KB
11. Text Summarization/6. TextRank - How It Really Works (Advanced).mp449.32 MB
11. Text Summarization/6. TextRank - How It Really Works (Advanced).srt13.52 KB
11. Text Summarization/7. TextRank Exercise Prompt (Advanced).mp47.47 MB
11. Text Summarization/7. TextRank Exercise Prompt (Advanced).srt1.74 KB
11. Text Summarization/8. TextRank in Python (Advanced).mp482.3 MB
11. Text Summarization/8. TextRank in Python (Advanced).srt17.1 KB
11. Text Summarization/9. Text Summarization in Python - The Easy Way (Beginner).mp445.17 MB
11. Text Summarization/9. Text Summarization in Python - The Easy Way (Beginner).srt7.81 KB
12. Topic Modeling/1. Topic Modeling Section Introduction.mp417.04 MB
12. Topic Modeling/1. Topic Modeling Section Introduction.srt4.09 KB
12. Topic Modeling/2. Latent Dirichlet Allocation (LDA) - Essentials.mp455.18 MB
12. Topic Modeling/2. Latent Dirichlet Allocation (LDA) - Essentials.srt15.16 KB
12. Topic Modeling/3. LDA - Code Preparation.mp414.52 MB
12. Topic Modeling/3. LDA - Code Preparation.srt4.91 KB
12. Topic Modeling/4. LDA - Maybe Useful Picture (Optional).mp48.99 MB
12. Topic Modeling/4. LDA - Maybe Useful Picture (Optional).srt2.52 KB
12. Topic Modeling/5. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp460.18 MB
12. Topic Modeling/5. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).srt20.17 KB
12. Topic Modeling/6. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp472.39 MB
12. Topic Modeling/6. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.srt13.27 KB
12. Topic Modeling/7. Non-Negative Matrix Factorization (NMF) Intuition.mp452.48 MB
12. Topic Modeling/7. Non-Negative Matrix Factorization (NMF) Intuition.srt13.8 KB
12. Topic Modeling/8. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.mp436.04 MB
12. Topic Modeling/8. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.srt4.88 KB
12. Topic Modeling/9. Topic Modeling Section Summary.mp49.81 MB
12. Topic Modeling/9. Topic Modeling Section Summary.srt1.99 KB
13. Latent Semantic Analysis (Latent Semantic Indexing)/1. LSA LSI Section Introduction.mp420.95 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/1. LSA LSI Section Introduction.srt5.21 KB
13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp481.85 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.srt15.4 KB
13. Latent Semantic Analysis (Latent Semantic Indexing)/3. LSA LSI Applying SVD to NLP.mp434.42 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/3. LSA LSI Applying SVD to NLP.srt10.25 KB
13. Latent Semantic Analysis (Latent Semantic Indexing)/4. Latent Semantic Analysis Latent Semantic Indexing in Python.mp457.55 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/4. Latent Semantic Analysis Latent Semantic Indexing in Python.srt10.09 KB
13. Latent Semantic Analysis (Latent Semantic Indexing)/5. LSA LSI Exercises.mp429.05 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/5. LSA LSI Exercises.srt7.34 KB
13. Latent Semantic Analysis (Latent Semantic Indexing)/[CourseClub.Me].url122 B
13. Latent Semantic Analysis (Latent Semantic Indexing)/[GigaCourse.Com].url49 B
14. Deep Learning (Introduction)/1. Deep Learning Introduction (Intermediate-Advanced).mp424.53 MB
14. Deep Learning (Introduction)/1. Deep Learning Introduction (Intermediate-Advanced).srt6.76 KB
15. The Neuron/1. The Neuron - Section Introduction.mp411.01 MB
15. The Neuron/1. The Neuron - Section Introduction.srt2.94 KB
15. The Neuron/2. Fitting a Line.mp468.61 MB
15. The Neuron/2. Fitting a Line.srt18.38 KB
15. The Neuron/3. Classification Code Preparation.mp432.88 MB
15. The Neuron/3. Classification Code Preparation.srt9.52 KB
15. The Neuron/4. Text Classification in Tensorflow.mp481.66 MB
15. The Neuron/4. Text Classification in Tensorflow.srt11.71 KB
15. The Neuron/5. The Neuron.mp445.25 MB
15. The Neuron/5. The Neuron.srt12.66 KB
15. The Neuron/6. How does a model learn.mp451.59 MB
15. The Neuron/6. How does a model learn.srt14.36 KB
15. The Neuron/7. The Neuron - Section Summary.mp410.32 MB
15. The Neuron/7. The Neuron - Section Summary.srt2.19 KB
16. Feedforward Artificial Neural Networks/1. ANN - Section Introduction.mp438.63 MB
16. Feedforward Artificial Neural Networks/1. ANN - Section Introduction.srt9.32 KB
16. Feedforward Artificial Neural Networks/10. Embeddings.mp442.29 MB
16. Feedforward Artificial Neural Networks/10. Embeddings.srt12.63 KB
16. Feedforward Artificial Neural Networks/11. CBOW (Advanced).mp415.78 MB
16. Feedforward Artificial Neural Networks/11. CBOW (Advanced).srt5.23 KB
16. Feedforward Artificial Neural Networks/12. CBOW Exercise Prompt.mp45.02 MB
16. Feedforward Artificial Neural Networks/12. CBOW Exercise Prompt.srt970 B
16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4117.56 MB
16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).srt20.31 KB
16. Feedforward Artificial Neural Networks/14. ANN - Section Summary.mp47.6 MB
16. Feedforward Artificial Neural Networks/14. ANN - Section Summary.srt1.91 KB
16. Feedforward Artificial Neural Networks/15. Aside How to Choose Hyperparameters (Optional).mp438.07 MB
16. Feedforward Artificial Neural Networks/15. Aside How to Choose Hyperparameters (Optional).srt8.56 KB

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