UdemyCourseDownloader Data Science Natural Language Processing NLP in Python

/10. Appendix/

2. Windows-Focused Environment Setup 2018.mp4

1. What is the Appendix.mp4

1. What is the Appendix.vtt

2. Windows-Focused Environment Setup 2018.vtt

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

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

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

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

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

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

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

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

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

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

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

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

9. Python 2 vs Python 3.mp4

9. Python 2 vs Python 3.vtt

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

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

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

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

/

udemycoursedownloader.com.url

Udemy Course downloader.txt

/01. Natural Language Processing - What is it used for/

1. Introduction and Outline.mp4

1. Introduction and Outline.vtt

2. NLP Applications.mp4

2. NLP Applications.vtt

3. Why is NLP hard.mp4

3. Why is NLP hard.vtt

4. The Central Message of this Course.mp4

4. The Central Message of this Course.vtt

/02. Course Preparation/

1. How to Succeed in this Course.mp4

1. How to Succeed in this Course.vtt

2. Where to get the code and data.mp4

2. Where to get the code and data.vtt

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

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

/03. Build your own spam detector/

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

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

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

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

3. Key Takeaway from Spam Detection Exercise.mp4

3. Key Takeaway from Spam Detection Exercise.vtt

4. Naive Bayes Concepts.mp4

4. Naive Bayes Concepts.vtt

5. AdaBoost Concepts.mp4

5. AdaBoost Concepts.vtt

6. Other types of features.mp4

6. Other types of features.vtt

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

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

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

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

9. SMS Spam Example.mp4

9. SMS Spam Example.vtt

10. SMS Spam in Code.mp4

10. SMS Spam in Code.vtt

/04. Build your own sentiment analyzer/

1. Description of Sentiment Analyzer.mp4

1. Description of Sentiment Analyzer.vtt

2. Logistic Regression Review.mp4

2. Logistic Regression Review.vtt

3. Preprocessing Tokenization.mp4

3. Preprocessing Tokenization.vtt

4. Preprocessing Tokens to Vectors.mp4

4. Preprocessing Tokens to Vectors.vtt

5. Sentiment Analysis in Python using Logistic Regression.mp4

5. Sentiment Analysis in Python using Logistic Regression.vtt

6. Sentiment Analysis Extension.mp4

6. Sentiment Analysis Extension.vtt

7. How to Improve Sentiment Analysis & FAQ.mp4

7. How to Improve Sentiment Analysis & FAQ.vtt

/05. NLTK Exploration/

1. NLTK Exploration POS Tagging.mp4

1. NLTK Exploration POS Tagging.vtt

2. NLTK Exploration Stemming and Lemmatization.mp4

2. NLTK Exploration Stemming and Lemmatization.vtt

3. NLTK Exploration Named Entity Recognition.mp4

3. NLTK Exploration Named Entity Recognition.vtt

4. Want more NLTK.mp4

4. Want more NLTK.vtt

/06. Latent Semantic Analysis/

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

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

2. SVD - The underlying math behind LSA.mp4

2. SVD - The underlying math behind LSA.vtt

3. Latent Semantic Analysis in Python.mp4

3. Latent Semantic Analysis in Python.vtt

4. What is Latent Semantic Analysis Used For.mp4

4. What is Latent Semantic Analysis Used For.vtt

5. Extending LSA.mp4

5. Extending LSA.vtt

/07. Write your own article spinner/

1. Article Spinning Introduction and Markov Models.mp4

1. Article Spinning Introduction and Markov Models.vtt

2. More about Language Models.mp4

2. More about Language Models.vtt

3. Trigram Model.mp4

3. Trigram Model.vtt

4. Precode Exercises.mp4

4. Precode Exercises.vtt

5. Writing an article spinner in Python.mp4

5. Writing an article spinner in Python.vtt

6. Article Spinner Extension Exercises.mp4

6. Article Spinner Extension Exercises.vtt

/08. How to learn more about NLP/

1. What we didn't talk about.mp4

1. What we didn't talk about.vtt

/09. Machine Learning Basics Review/

1. (Review) Machine Learning Section Introduction.mp4

1. (Review) Machine Learning Section Introduction.vtt

2. (Review) What is Classification.mp4

3. (Review) Classification in Code.mp4

3. (Review) Classification in Code.vtt

4. (Review) What is Regression.mp4

4. (Review) What is Regression.vtt

5. (Review) Regression in Code.mp4

5. (Review) Regression in Code.vtt

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

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

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

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

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

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

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

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

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

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

11. (Review) Section Summary.mp4

11. (Review) Section Summary.vtt

Total files 125