[DesireCourse.Net] Udemy - Data Science Natural Language Processing (NLP) in Python

Torrent Hash:
2AFFDFFE947924612CCFC0842743F4711B0A24FC
Number of Files:
154
Content Size:
2.13GB
Convert On:
2020-02-07
Magnet Link:
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File Name
Size
1. Natural Language Processing - What is it used for/1. Introduction and Outline.mp4
2.51MB
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1. Natural Language Processing - What is it used for/1. Introduction and Outline.srt
4.05KB
1. Natural Language Processing - What is it used for/2. NLP Applications.mp4
5.73MB
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1. Natural Language Processing - What is it used for/2. NLP Applications.srt
8.37KB
1. Natural Language Processing - What is it used for/3. Why is NLP hard.mp4
7.14MB
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1. Natural Language Processing - What is it used for/3. Why is NLP hard.srt
4.72KB
1. Natural Language Processing - What is it used for/4. The Central Message of this Course.mp4
3.14MB
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1. Natural Language Processing - What is it used for/4. The Central Message of this Course.srt
3.37KB
10. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4
44.86MB
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10. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.srt
11.04KB
10. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4
40.87MB
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10. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.srt
7.94KB
10. Machine Learning Basics Review/11. (Review) Section Summary.mp4
24.82MB
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10. Machine Learning Basics Review/11. (Review) Section Summary.srt
7.88KB
10. Machine Learning Basics Review/2. (Review) What is Classification.mp4
70.66MB
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10. Machine Learning Basics Review/2. (Review) What is Classification.srt
16.48KB
10. Machine Learning Basics Review/3. (Review) Classification in Code.mp4
139.49MB
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10. Machine Learning Basics Review/3. (Review) Classification in Code.srt
16.77KB
10. Machine Learning Basics Review/4. (Review) What is Regression.mp4
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10. Machine Learning Basics Review/4. (Review) What is Regression.srt
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10. Machine Learning Basics Review/5. (Review) Regression in Code.mp4
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10. Machine Learning Basics Review/5. (Review) Regression in Code.srt
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10. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp4
37.99MB
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10. Machine Learning Basics Review/6. (Review) What is a Feature Vector.srt
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10. Machine Learning Basics Review/7. (Review) Machine Learning is Nothing but Geometry.mp4
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10. Machine Learning Basics Review/7. (Review) Machine Learning is Nothing but Geometry.srt
6.17KB
10. Machine Learning Basics Review/8. (Review) All Data is the Same.mp4
24.81MB
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10. Machine Learning Basics Review/8. (Review) All Data is the Same.srt
7.08KB
10. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4
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10. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.srt
13.2KB
11. Appendix FAQ/1. What is the Appendix.mp4
5.45MB
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11. Appendix FAQ/1. What is the Appendix.srt
3.72KB
11. Appendix FAQ/10. What order should I take your courses in (part 1).mp4
29.32MB
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11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4
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11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4
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11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4
186.47MB
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20.1KB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
43.92MB
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16.76KB
11. Appendix FAQ/4. How to Code by Yourself (part 1).mp4
24.54MB
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22.75KB
11. Appendix FAQ/5. How to Code by Yourself (part 2).mp4
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13.26KB
11. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4
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11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4
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11. Appendix FAQ/9. Python 2 vs Python 3.mp4
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11. Appendix FAQ/9. Python 2 vs Python 3.srt
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2. Course Preparation/1. How to Succeed in this Course.mp4
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2. Course Preparation/2. Where to get the code and data.mp4
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2. Course Preparation/2. Where to get the code and data.srt
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2. Course Preparation/3. Do you need a review of machine learning.mp4
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2. Course Preparation/3. Do you need a review of machine learning.srt
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3. Decrypting Ciphers/1. Section Introduction.mp4
26.32MB
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3. Decrypting Ciphers/1. Section Introduction.srt
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3. Decrypting Ciphers/10. Code pt 4.mp4
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3. Decrypting Ciphers/10. Code pt 4.srt
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3. Decrypting Ciphers/11. Code pt 5.mp4
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3. Decrypting Ciphers/11. Code pt 5.srt
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3. Decrypting Ciphers/12. Code pt 6.mp4
39.35MB
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3. Decrypting Ciphers/12. Code pt 6.srt
7KB
3. Decrypting Ciphers/13. Section Conclusion.mp4
24.26MB
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3. Decrypting Ciphers/13. Section Conclusion.srt
8.93MB
3. Decrypting Ciphers/2. Ciphers.mp4
17.19MB
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3. Decrypting Ciphers/2. Ciphers.srt
4.79KB
3. Decrypting Ciphers/3. Language Models.mp4
65.65MB
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3. Decrypting Ciphers/3. Language Models.srt
20.57KB
3. Decrypting Ciphers/4. Genetic Algorithms.mp4
105.19MB
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3. Decrypting Ciphers/4. Genetic Algorithms.srt
28.9KB
3. Decrypting Ciphers/5. Code Preparation.mp4
20.65MB
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3. Decrypting Ciphers/5. Code Preparation.srt
6.77KB
3. Decrypting Ciphers/6. Link to Cipher Notebook.html
235B
3. Decrypting Ciphers/7. Code pt 1.mp4
15.9MB
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3. Decrypting Ciphers/7. Code pt 1.srt
4.14KB
3. Decrypting Ciphers/8. Code pt 2.mp4
39.15MB
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3. Decrypting Ciphers/8. Code pt 2.srt
9.12KB
3. Decrypting Ciphers/9. Code pt 3.mp4
29.55MB
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3. Decrypting Ciphers/9. Code pt 3.srt
6.17KB
4. Build your own spam detector/1. Build your own spam detector - description of data.mp4
1.91MB
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4. Build your own spam detector/1. Build your own spam detector - description of data.srt
2.6KB
4. Build your own spam detector/10. SMS Spam in Code.mp4
13.92MB
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4. Build your own spam detector/10. SMS Spam in Code.srt
11.24KB
4. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4
6.55MB
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4. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.srt
5.84KB
4. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4
30.58MB
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4. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.srt
7.81KB
4. Build your own spam detector/4. Naive Bayes Concepts.mp4
39.65MB
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4. Build your own spam detector/4. Naive Bayes Concepts.srt
11.82KB
4. Build your own spam detector/5. AdaBoost Concepts.mp4
26.75MB
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4. Build your own spam detector/5. AdaBoost Concepts.srt
6.32KB
4. Build your own spam detector/6. Other types of features.mp4
1.42MB
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4. Build your own spam detector/6. Other types of features.srt
1.88KB
4. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp4
10.66MB
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4. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).srt
11.36KB
4. Build your own spam detector/8. What is a Vector (Remedial #2).mp4
9.07MB
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7.86KB
4. Build your own spam detector/9. SMS Spam Example.mp4
5.71MB
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5. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp4
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5. Build your own sentiment analyzer/2. Logistic Regression Review.mp4
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5. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp4
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5. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp4
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5. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4
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16.09KB
5. Build your own sentiment analyzer/6. Sentiment Analysis Extension.mp4
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7.65KB
5. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4
77.73MB
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5. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.srt
16.43KB
6. NLTK Exploration/1. NLTK Exploration POS Tagging.mp4
2.03MB
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1.97KB
6. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.mp4
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1.62KB
6. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp4
6.67MB
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6. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.srt
2.22KB
6. NLTK Exploration/4. Want more NLTK.mp4
8.45MB
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6. NLTK Exploration/4. Want more NLTK.srt
2.41KB
7. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp4
3.93MB
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7. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.srt
3.48KB
7. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4
78.22MB
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7. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.srt
19.57KB
7. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.mp4
25.44MB
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7. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.srt
7.54KB
7. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.mp4
16.88MB
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7. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.srt
12.53KB
7. Latent Semantic Analysis/5. Extending LSA.mp4
10.91MB
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7. Latent Semantic Analysis/5. Extending LSA.srt
7.65KB
8. Write your own article spinner/1. Article Spinning Introduction and Markov Models.mp4
4.66MB
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8. Write your own article spinner/1. Article Spinning Introduction and Markov Models.srt
4.08KB
8. Write your own article spinner/2. Trigram Model.mp4
3.86MB
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8. Write your own article spinner/2. Trigram Model.srt
3.13KB
8. Write your own article spinner/3. More about Language Models.mp4
36.63MB
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8. Write your own article spinner/3. More about Language Models.srt
12.28KB
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19.78MB
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8. Write your own article spinner/4. Precode Exercises.srt
6.05KB
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9.76KB
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8. Write your own article spinner/6. Article Spinner Extension Exercises.srt
6.73KB
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4.32MB
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9. How to learn more about NLP/1. What we didn't talk about.srt
3.79KB
[CourseClub.Me].url
48B
[DesireCourse.Net].url
51B
[FreeCourseWorld.Com].url
54B

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