种子简介

种子名称： [DesireCourse.Net] Udemy - Data Science Natural Language Processing (NLP) in Python
文件类型： 视频
文件数目： 75个文件
文件大小： 2.12 GB
收录时间： 2021-2-2 00:29
已经下载： 3次
资源热度： 317
最近下载： 2024-11-23 22:52

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:2affdffe947924612ccfc0842743f4711b0a24fc&dn=[DesireCourse.Net] Udemy - Data Science Natural Language Processing (NLP) in Python 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[DesireCourse.Net] 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.mp45.73MB

1. Natural Language Processing - What is it used for/3. Why is NLP hard.mp47.14MB

1. Natural Language Processing - What is it used for/4. The Central Message of this Course.mp43.14MB

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

10. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp440.87MB

10. Machine Learning Basics Review/11. (Review) Section Summary.mp424.82MB

10. Machine Learning Basics Review/2. (Review) What is Classification.mp470.66MB

10. Machine Learning Basics Review/3. (Review) Classification in Code.mp4139.49MB

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

10. Machine Learning Basics Review/5. (Review) Regression in Code.mp469.36MB

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

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

10. Machine Learning Basics Review/8. (Review) All Data is the Same.mp424.81MB

10. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp453.56MB

11. Appendix FAQ/1. What is the Appendix.mp45.45MB

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

11. Appendix FAQ/11. What order should I take your courses in (part 2).mp437.63MB

11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp437.83MB

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

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

11. Appendix FAQ/4. How to Code by Yourself (part 1).mp424.54MB

11. Appendix FAQ/5. How to Code by Yourself (part 2).mp414.8MB

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

11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.95MB

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

11. Appendix FAQ/9. Python 2 vs Python 3.mp47.84MB

2. Course Preparation/1. How to Succeed in this Course.mp43.31MB

2. Course Preparation/2. Where to get the code and data.mp44.44MB

2. Course Preparation/3. Do you need a review of machine learning.mp413.4MB

3. Decrypting Ciphers/1. Section Introduction.mp426.32MB

3. Decrypting Ciphers/10. Code pt 4.mp425.69MB

3. Decrypting Ciphers/11. Code pt 5.mp440.93MB

3. Decrypting Ciphers/12. Code pt 6.mp439.35MB

3. Decrypting Ciphers/13. Section Conclusion.mp424.26MB

3. Decrypting Ciphers/2. Ciphers.mp417.19MB

3. Decrypting Ciphers/3. Language Models.mp465.65MB

3. Decrypting Ciphers/4. Genetic Algorithms.mp4105.19MB

3. Decrypting Ciphers/5. Code Preparation.mp420.65MB

3. Decrypting Ciphers/7. Code pt 1.mp415.9MB

3. Decrypting Ciphers/8. Code pt 2.mp439.15MB

3. Decrypting Ciphers/9. Code pt 3.mp429.55MB

4. Build your own spam detector/1. Build your own spam detector - description of data.mp41.91MB

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

4. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp46.55MB

4. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp430.58MB

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

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

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

4. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp410.66MB

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

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

5. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp45.07MB

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

5. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp47.74MB

5. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp410.56MB

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

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

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

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

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

6. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp46.67MB

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

7. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp43.93MB

7. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp478.22MB

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

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

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

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

8. Write your own article spinner/2. Trigram Model.mp43.86MB

8. Write your own article spinner/3. More about Language Models.mp436.63MB

8. Write your own article spinner/4. Precode Exercises.mp419.78MB

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

8. Write your own article spinner/6. Article Spinner Extension Exercises.mp423.67MB

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