Torrent Info
Title [DesireCourse.Net] Udemy - Data Science Natural Language Processing (NLP) in Python
Category
Size 2.13GB
Files List
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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
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