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| [CourseClub.Me].url |
48б |
| [DesireCourse.Net].url |
51б |
| [FreeCourseWorld.Com].url |
54б |
| 1. (Review) Machine Learning Section Introduction.mp4 |
44.86Мб |
| 1. (Review) Machine Learning Section Introduction.srt |
11.04Кб |
| 1. Article Spinning Introduction and Markov Models.mp4 |
4.66Мб |
| 1. Article Spinning Introduction and Markov Models.srt |
4.08Кб |
| 1. Build your own spam detector - description of data.mp4 |
1.91Мб |
| 1. Build your own spam detector - description of data.srt |
2.60Кб |
| 1. Description of Sentiment Analyzer.mp4 |
5.07Мб |
| 1. Description of Sentiment Analyzer.srt |
4.22Кб |
| 1. How to Succeed in this Course.mp4 |
3.31Мб |
| 1. How to Succeed in this Course.srt |
3.97Кб |
| 1. Introduction and Outline.mp4 |
2.51Мб |
| 1. Introduction and Outline.srt |
4.05Кб |
| 1. Latent Semantic Analysis - What does it do.mp4 |
3.93Мб |
| 1. Latent Semantic Analysis - What does it do.srt |
3.48Кб |
| 1. NLTK Exploration POS Tagging.mp4 |
2.03Мб |
| 1. NLTK Exploration POS Tagging.srt |
1.97Кб |
| 1. Section Introduction.mp4 |
26.32Мб |
| 1. Section Introduction.srt |
6.60Кб |
| 1. What is the Appendix.mp4 |
5.45Мб |
| 1. What is the Appendix.srt |
3.72Кб |
| 1. What we didn't talk about.mp4 |
4.32Мб |
| 1. What we didn't talk about.srt |
3.79Кб |
| 10. (Review) Machine Learning and Deep Learning Future Topics.mp4 |
40.87Мб |
| 10. (Review) Machine Learning and Deep Learning Future Topics.srt |
7.94Кб |
| 10. Code pt 4.mp4 |
25.69Мб |
| 10. Code pt 4.srt |
4.87Кб |
| 10. SMS Spam in Code.mp4 |
13.92Мб |
| 10. SMS Spam in Code.srt |
11.24Кб |
| 10. What order should I take your courses in (part 1).mp4 |
29.32Мб |
| 10. What order should I take your courses in (part 1).srt |
16.03Кб |
| 11. (Review) Section Summary.mp4 |
24.82Мб |
| 11. (Review) Section Summary.srt |
7.88Кб |
| 11. Code pt 5.mp4 |
40.93Мб |
| 11. Code pt 5.srt |
8.68Кб |
| 11. What order should I take your courses in (part 2).mp4 |
37.63Мб |
| 11. What order should I take your courses in (part 2).srt |
23.04Кб |
| 12. BONUS Where to get discount coupons and FREE deep learning material.mp4 |
37.83Мб |
| 12. BONUS Where to get discount coupons and FREE deep learning material.srt |
7.87Кб |
| 12. Code pt 6.mp4 |
39.35Мб |
| 12. Code pt 6.srt |
7.00Кб |
| 13. Section Conclusion.mp4 |
24.26Мб |
| 13. Section Conclusion.srt |
8.93Мб |
| 2. (Review) What is Classification.mp4 |
70.66Мб |
| 2. (Review) What is Classification.srt |
16.48Кб |
| 2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4 |
6.55Мб |
| 2. Build your own spam detector using Naive Bayes and AdaBoost - the code.srt |
5.84Кб |
| 2. Ciphers.mp4 |
17.19Мб |
| 2. Ciphers.srt |
4.79Кб |
| 2. Logistic Regression Review.mp4 |
12.20Мб |
| 2. Logistic Regression Review.srt |
9.77Кб |
| 2. NLP Applications.mp4 |
5.73Мб |
| 2. NLP Applications.srt |
8.37Кб |
| 2. NLTK Exploration Stemming and Lemmatization.mp4 |
3.66Мб |
| 2. NLTK Exploration Stemming and Lemmatization.srt |
1.62Кб |
| 2. SVD - The underlying math behind LSA.mp4 |
78.22Мб |
| 2. SVD - The underlying math behind LSA.srt |
19.57Кб |
| 2. Trigram Model.mp4 |
3.86Мб |
| 2. Trigram Model.srt |
3.13Кб |
| 2. Where to get the code and data.mp4 |
4.44Мб |
| 2. Where to get the code and data.srt |
3.41Кб |
| 2. Windows-Focused Environment Setup 2018.mp4 |
186.47Мб |
| 2. Windows-Focused Environment Setup 2018.srt |
20.10Кб |
| 3. (Review) Classification in Code.mp4 |
139.49Мб |
| 3. (Review) Classification in Code.srt |
16.77Кб |
| 3. Do you need a review of machine learning.mp4 |
13.40Мб |
| 3. Do you need a review of machine learning.srt |
3.64Кб |
| 3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 |
43.92Мб |
| 3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt |
16.76Кб |
| 3. Key Takeaway from Spam Detection Exercise.mp4 |
30.58Мб |
| 3. Key Takeaway from Spam Detection Exercise.srt |
7.81Кб |
| 3. Language Models.mp4 |
65.65Мб |
| 3. Language Models.srt |
20.57Кб |
| 3. Latent Semantic Analysis in Python.mp4 |
25.44Мб |
| 3. Latent Semantic Analysis in Python.srt |
7.54Кб |
| 3. More about Language Models.mp4 |
36.63Мб |
| 3. More about Language Models.srt |
12.28Кб |
| 3. NLTK Exploration Named Entity Recognition.mp4 |
6.67Мб |
| 3. NLTK Exploration Named Entity Recognition.srt |
2.22Кб |
| 3. Preprocessing Tokenization.mp4 |
7.74Мб |
| 3. Preprocessing Tokenization.srt |
6.20Кб |
| 3. Why is NLP hard.mp4 |
7.14Мб |
| 3. Why is NLP hard.srt |
4.72Кб |
| 4. (Review) What is Regression.mp4 |
49.56Мб |
| 4. (Review) What is Regression.srt |
16.79Кб |
| 4. Genetic Algorithms.mp4 |
105.19Мб |
| 4. Genetic Algorithms.srt |
28.90Кб |
| 4. How to Code by Yourself (part 1).mp4 |
24.54Мб |
| 4. How to Code by Yourself (part 1).srt |
22.75Кб |
| 4. Naive Bayes Concepts.mp4 |
39.65Мб |
| 4. Naive Bayes Concepts.srt |
11.82Кб |
| 4. Precode Exercises.mp4 |
19.78Мб |
| 4. Precode Exercises.srt |
6.05Кб |
| 4. Preprocessing Tokens to Vectors.mp4 |
10.56Мб |
| 4. Preprocessing Tokens to Vectors.srt |
7.67Кб |
| 4. The Central Message of this Course.mp4 |
3.14Мб |
| 4. The Central Message of this Course.srt |
3.37Кб |
| 4. Want more NLTK.mp4 |
8.45Мб |
| 4. Want more NLTK.srt |
2.41Кб |
| 4. What is Latent Semantic Analysis Used For.mp4 |
16.88Мб |
| 4. What is Latent Semantic Analysis Used For.srt |
12.53Кб |
| 5. (Review) Regression in Code.mp4 |
69.36Мб |
| 5. (Review) Regression in Code.srt |
9.83Кб |
| 5. AdaBoost Concepts.mp4 |
26.75Мб |
| 5. AdaBoost Concepts.srt |
6.32Кб |
| 5. Code Preparation.mp4 |
20.65Мб |
| 5. Code Preparation.srt |
6.77Кб |
| 5. Extending LSA.mp4 |
10.91Мб |
| 5. Extending LSA.srt |
7.65Кб |
| 5. How to Code by Yourself (part 2).mp4 |
14.80Мб |
| 5. How to Code by Yourself (part 2).srt |
13.26Кб |
| 5. Sentiment Analysis in Python using Logistic Regression.mp4 |
43.54Мб |
| 5. Sentiment Analysis in Python using Logistic Regression.srt |
16.09Кб |
| 5. Writing an article spinner in Python.mp4 |
25.95Мб |
| 5. Writing an article spinner in Python.srt |
9.76Кб |
| 6. (Review) What is a Feature Vector.mp4 |
37.99Мб |
| 6. (Review) What is a Feature Vector.srt |
8.87Кб |
| 6. Article Spinner Extension Exercises.mp4 |
23.67Мб |
| 6. Article Spinner Extension Exercises.srt |
6.73Кб |
| 6. How to Succeed in this Course (Long Version).mp4 |
12.99Мб |
| 6. How to Succeed in this Course (Long Version).srt |
14.66Кб |
| 6. Link to Cipher Notebook.html |
235б |
| 6. Other types of features.mp4 |
1.42Мб |
| 6. Other types of features.srt |
1.88Кб |
| 6. Sentiment Analysis Extension.mp4 |
5.16Мб |
| 6. Sentiment Analysis Extension.srt |
7.65Кб |
| 7. (Review) Machine Learning is Nothing but Geometry.mp4 |
22.74Мб |
| 7. (Review) Machine Learning is Nothing but Geometry.srt |
6.17Кб |
| 7. Code pt 1.mp4 |
15.90Мб |
| 7. Code pt 1.srt |
4.14Кб |
| 7. How to Improve Sentiment Analysis & FAQ.mp4 |
77.73Мб |
| 7. How to Improve Sentiment Analysis & FAQ.srt |
16.43Кб |
| 7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 |
38.95Мб |
| 7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt |
0б |
| 7. Spam Detection FAQ (Remedial #1).mp4 |
10.66Мб |
| 7. Spam Detection FAQ (Remedial #1).srt |
11.36Кб |
| 8. (Review) All Data is the Same.mp4 |
24.81Мб |
| 8. (Review) All Data is the Same.srt |
7.08Кб |
| 8. Code pt 2.mp4 |
39.15Мб |
| 8. Code pt 2.srt |
9.12Кб |
| 8. Proof that using Jupyter Notebook is the same as not using it.mp4 |
78.28Мб |
| 8. Proof that using Jupyter Notebook is the same as not using it.srt |
14.12Кб |
| 8. What is a Vector (Remedial #2).mp4 |
9.07Мб |
| 8. What is a Vector (Remedial #2).srt |
7.86Кб |
| 9. (Review) Comparing Different Machine Learning Models.mp4 |
53.56Мб |
| 9. (Review) Comparing Different Machine Learning Models.srt |
13.20Кб |
| 9. Code pt 3.mp4 |
29.55Мб |
| 9. Code pt 3.srt |
6.17Кб |
| 9. Python 2 vs Python 3.mp4 |
7.84Мб |
| 9. Python 2 vs Python 3.srt |
6.10Кб |
| 9. SMS Spam Example.mp4 |
5.71Мб |
| 9. SMS Spam Example.srt |
8.14Кб |