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种子名称： [FreeCourseSite.com] Udemy - Data Science Natural Language Processing (NLP) in Python
文件类型： 视频
文件数目： 62个文件
文件大小： 1.64 GB
收录时间： 2022-1-15 04:38
已经下载： 3次
资源热度： 221
最近下载： 2025-1-8 08:50

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

1. Natural Language Processing - What is it used for/1. Introduction and Outline.mp42.51MB

1. Natural Language Processing - What is it used for/2. NLP Applications.mp45.72MB

1. Natural Language Processing - What is it used for/3. Why is NLP hard.mp47.13MB

1. Natural Language Processing - What is it used for/4. The Central Message of this Course.mp43.15MB

10. Appendix/1. What is the Appendix.mp45.45MB

10. Appendix/10. What order should I take your courses in (part 1).mp429.32MB

10. Appendix/11. What order should I take your courses in (part 2).mp437.62MB

10. Appendix/2. Windows-Focused Environment Setup 2018.mp4186.47MB

10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92MB

10. Appendix/4. How to Code by Yourself (part 1).mp424.53MB

10. Appendix/5. How to Code by Yourself (part 2).mp414.81MB

10. Appendix/6. How to Succeed in this Course (Long Version).mp412.99MB

10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.96MB

10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp478.28MB

10. Appendix/9. Python 2 vs Python 3.mp47.83MB

2. Course Preparation/1. How to Succeed in this Course.mp43.3MB

2. Course Preparation/2. Where to get the code and data.mp44.43MB

2. Course Preparation/3. Do you need a review of machine learning.mp413.39MB

3. Build your own spam detector/1. Build your own spam detector - description of data.mp41.9MB

3. Build your own spam detector/10. SMS Spam in Code.mp413.92MB

3. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp46.54MB

3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp430.59MB

3. Build your own spam detector/4. Naive Bayes Concepts.mp439.65MB

3. Build your own spam detector/5. AdaBoost Concepts.mp426.75MB

3. Build your own spam detector/6. Other types of features.mp41.42MB

3. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp410.67MB

3. Build your own spam detector/8. What is a Vector (Remedial #2).mp49.07MB

3. Build your own spam detector/9. SMS Spam Example.mp45.71MB

4. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp45.06MB

4. Build your own sentiment analyzer/2. Logistic Regression Review.mp412.2MB

4. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp47.73MB

4. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp410.55MB

4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp443.54MB

4. Build your own sentiment analyzer/6. Sentiment Analysis Extension.mp45.16MB

4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp477.73MB

5. NLTK Exploration/1. NLTK Exploration POS Tagging.mp42.03MB

5. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.mp43.66MB

5. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp46.66MB

5. NLTK Exploration/4. Want more NLTK.mp48.45MB

6. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp43.92MB

6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp478.21MB

6. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.mp425.44MB

6. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.mp416.88MB

6. Latent Semantic Analysis/5. Extending LSA.mp410.91MB

7. Write your own article spinner/1. Article Spinning Introduction and Markov Models.mp44.66MB

7. Write your own article spinner/2. More about Language Models.mp436.63MB

7. Write your own article spinner/3. Trigram Model.mp43.85MB

7. Write your own article spinner/4. Precode Exercises.mp419.77MB

7. Write your own article spinner/5. Writing an article spinner in Python.mp425.95MB

7. Write your own article spinner/6. Article Spinner Extension Exercises.mp423.68MB

8. How to learn more about NLP/1. What we didn't talk about.mp44.32MB

9. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp444.86MB

9. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp440.86MB

9. Machine Learning Basics Review/11. (Review) Section Summary.mp424.83MB

9. Machine Learning Basics Review/2. (Review) What is Classification.mp470.67MB

9. Machine Learning Basics Review/3. (Review) Classification in Code.mp4139.48MB

9. Machine Learning Basics Review/4. (Review) What is Regression.mp449.56MB

9. Machine Learning Basics Review/5. (Review) Regression in Code.mp469.37MB

9. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp437.99MB

9. Machine Learning Basics Review/7. (Review) Machine Learning is Nothing but Geometry.mp422.74MB

9. Machine Learning Basics Review/8. (Review) All Data is the Same.mp424.8MB

9. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp453.55MB