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