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Download [FreeCourseLab.com] Udemy - Data Science Natural Language Processing (NLP) in Python

FreeCourseLab com Udemy Data Science Natural Language Processing NLP in Python

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[FreeCourseLab.com] Udemy - Data Science Natural Language Processing (NLP) in Python

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Total Size

1.9 GB

Total Files

125

Hash

6969C3FAE0922A0E8B1A1760D46349B8B2515512

/1. Natural Language Processing - What is it used for/

1. Introduction and Outline.mp4

2.6 MB

1. Introduction and Outline.vtt

3.7 KB

2. NLP Applications.mp4

6.0 MB

2. NLP Applications.vtt

7.5 KB

3. Why is NLP hard.mp4

7.5 MB

3. Why is NLP hard.vtt

4.3 KB

4. The Central Message of this Course.mp4

3.3 MB

4. The Central Message of this Course.vtt

3.1 KB

/10. Appendix/

1. What is the Appendix.mp4

5.7 MB

1. What is the Appendix.vtt

3.4 KB

10. What order should I take your courses in (part 1).mp4

30.8 MB

10. What order should I take your courses in (part 1).vtt

30.8 MB

11. What order should I take your courses in (part 2).mp4

39.5 MB

11. What order should I take your courses in (part 2).vtt

39.5 MB

2. Windows-Focused Environment Setup 2018.mp4

195.5 MB

2. Windows-Focused Environment Setup 2018.vtt

17.8 KB

3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4

46.0 MB

3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt

14.9 KB

4. How to Code by Yourself (part 1).mp4

25.7 MB

4. How to Code by Yourself (part 1).vtt

20.3 KB

5. How to Code by Yourself (part 2).mp4

15.5 MB

5. How to Code by Yourself (part 2).vtt

11.9 KB

6. How to Succeed in this Course (Long Version).mp4

13.6 MB

6. How to Succeed in this Course (Long Version).vtt

13.2 KB

7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

40.9 MB

7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt

28.4 KB

8. Proof that using Jupyter Notebook is the same as not using it.mp4

82.1 MB

8. Proof that using Jupyter Notebook is the same as not using it.vtt

12.5 KB

9. Python 2 vs Python 3.mp4

8.2 MB

9. Python 2 vs Python 3.vtt

5.5 KB

/2. Course Preparation/

1. How to Succeed in this Course.mp4

3.5 MB

1. How to Succeed in this Course.vtt

3.6 KB

2. Where to get the code and data.mp4

4.6 MB

2. Where to get the code and data.vtt

3.0 KB

3. Do you need a review of machine learning.mp4

14.1 MB

3. Do you need a review of machine learning.vtt

3.3 KB

/3. Build your own spam detector/

1. Build your own spam detector - description of data.mp4

2.0 MB

1. Build your own spam detector - description of data.vtt

2.4 KB

10. SMS Spam in Code.mp4

14.6 MB

10. SMS Spam in Code.vtt

10.0 KB

2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4

6.9 MB

2. Build your own spam detector using Naive Bayes and AdaBoost - the code.vtt

5.2 KB

3. Key Takeaway from Spam Detection Exercise.mp4

32.1 MB

3. Key Takeaway from Spam Detection Exercise.vtt

32.1 MB

4. Naive Bayes Concepts.mp4

41.6 MB

4. Naive Bayes Concepts.vtt

10.6 KB

5. AdaBoost Concepts.mp4

28.1 MB

5. AdaBoost Concepts.vtt

5.6 KB

6. Other types of features.mp4

1.5 MB

6. Other types of features.vtt

1.7 KB

7. Spam Detection FAQ (Remedial #1).mp4

11.2 MB

7. Spam Detection FAQ (Remedial #1).vtt

10.2 KB

8. What is a Vector (Remedial #2).mp4

9.5 MB

8. What is a Vector (Remedial #2).vtt

7.1 KB

9. SMS Spam Example.mp4

6.0 MB

9. SMS Spam Example.vtt

7.3 KB

/4. Build your own sentiment analyzer/

1. Description of Sentiment Analyzer.mp4

5.3 MB

1. Description of Sentiment Analyzer.vtt

3.8 KB

2. Logistic Regression Review.mp4

12.8 MB

2. Logistic Regression Review.vtt

8.7 KB

3. Preprocessing Tokenization.mp4

8.1 MB

3. Preprocessing Tokenization.vtt

5.6 KB

4. Preprocessing Tokens to Vectors.mp4

11.1 MB

4. Preprocessing Tokens to Vectors.vtt

6.9 KB

5. Sentiment Analysis in Python using Logistic Regression.mp4

45.7 MB

5. Sentiment Analysis in Python using Logistic Regression.vtt

14.3 KB

6. Sentiment Analysis Extension.mp4

5.4 MB

6. Sentiment Analysis Extension.vtt

6.9 KB

7. How to Improve Sentiment Analysis & FAQ.mp4

81.5 MB

7. How to Improve Sentiment Analysis & FAQ.vtt

14.7 KB

/5. NLTK Exploration/

1. NLTK Exploration POS Tagging.mp4

2.1 MB

1. NLTK Exploration POS Tagging.vtt

1.8 KB

2. NLTK Exploration Stemming and Lemmatization.mp4

3.9 MB

2. NLTK Exploration Stemming and Lemmatization.vtt

1.5 KB

3. NLTK Exploration Named Entity Recognition.mp4

7.0 MB

3. NLTK Exploration Named Entity Recognition.vtt

2.0 KB

4. Want more NLTK.mp4

8.9 MB

4. Want more NLTK.vtt

2.2 KB

/6. Latent Semantic Analysis/

1. Latent Semantic Analysis - What does it do.mp4

4.1 MB

1. Latent Semantic Analysis - What does it do.vtt

3.2 KB

2. SVD - The underlying math behind LSA.mp4

82.0 MB

2. SVD - The underlying math behind LSA.vtt

17.6 KB

3. Latent Semantic Analysis in Python.mp4

26.7 MB

3. Latent Semantic Analysis in Python.vtt

26.7 MB

4. What is Latent Semantic Analysis Used For.mp4

17.7 MB

4. What is Latent Semantic Analysis Used For.vtt

11.3 KB

5. Extending LSA.mp4

11.5 MB

5. Extending LSA.vtt

7.0 KB

/7. Write your own article spinner/

1. Article Spinning Introduction and Markov Models.mp4

4.9 MB

1. Article Spinning Introduction and Markov Models.vtt

3.7 KB

2. More about Language Models.mp4

38.4 MB

2. More about Language Models.vtt

11.0 KB

3. Trigram Model.mp4

4.0 MB

3. Trigram Model.vtt

2.9 KB

4. Precode Exercises.mp4

20.7 MB

4. Precode Exercises.vtt

5.4 KB

5. Writing an article spinner in Python.mp4

27.2 MB

5. Writing an article spinner in Python.vtt

8.7 KB

6. Article Spinner Extension Exercises.mp4

24.8 MB

6. Article Spinner Extension Exercises.vtt

6.1 KB

/8. How to learn more about NLP/

1. What we didn't talk about.mp4

4.5 MB

1. What we didn't talk about.vtt

3.5 KB

/9. Machine Learning Basics Review/

1. (Review) Machine Learning Section Introduction.mp4

47.1 MB

1. (Review) Machine Learning Section Introduction.vtt

9.9 KB

10. (Review) Machine Learning and Deep Learning Future Topics.mp4

42.8 MB

10. (Review) Machine Learning and Deep Learning Future Topics.vtt

7.1 KB

11. (Review) Section Summary.mp4

26.0 MB

11. (Review) Section Summary.vtt

7.0 KB

2. (Review) What is Classification.mp4

74.1 MB

2. (Review) What is Classification.vtt

14.8 KB

3. (Review) Classification in Code.mp4

146.3 MB

3. (Review) Classification in Code.vtt

14.9 KB

4. (Review) What is Regression.mp4

52.0 MB

4. (Review) What is Regression.vtt

52.0 MB

5. (Review) Regression in Code.mp4

72.7 MB

5. (Review) Regression in Code.vtt

8.8 KB

6. (Review) What is a Feature Vector.mp4

39.8 MB

6. (Review) What is a Feature Vector.vtt

8.0 KB

7. (Review) Machine Learning is Nothing but Geometry.mp4

23.8 MB

7. (Review) Machine Learning is Nothing but Geometry.vtt

5.5 KB

8. (Review) All Data is the Same.mp4

26.0 MB

8. (Review) All Data is the Same.vtt

6.3 KB

9. (Review) Comparing Different Machine Learning Models.mp4

56.2 MB

9. (Review) Comparing Different Machine Learning Models.vtt

11.9 KB

/

[FreeCourseLab.com].url

0.1 KB

 

Total files 125


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