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[FreeCourseSite.com] Udemy - Data Science Natural Language Processing (NLP) in Python
magnet:?xt=urn:btih:44ffa02a7ead9b8cbcc87204e536a1177dbccf21&dn=[FreeCourseSite.com] Udemy - Data Science Natural Language Processing (NLP) in Python
磁力链接详情
Hash值:
44ffa02a7ead9b8cbcc87204e536a1177dbccf21
点击数:
170
文件大小:
1.64 GB
文件数量:
62
创建日期:
2022-1-15 04:38
最后访问:
2024-6-27 16:01
访问标签:
FreeCourseSite
com
Udemy
-
Data
Science
Natural
Language
Processing
NLP
in
Python
文件列表详情
1. Natural Language Processing - What is it used for/1. Introduction and Outline.mp4 2.51 MB
1. Natural Language Processing - What is it used for/2. NLP Applications.mp4 5.72 MB
1. Natural Language Processing - What is it used for/3. Why is NLP hard.mp4 7.13 MB
1. Natural Language Processing - What is it used for/4. The Central Message of this Course.mp4 3.15 MB
10. Appendix/1. What is the Appendix.mp4 5.45 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 29.32 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 37.62 MB
10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 186.47 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 24.53 MB
10. Appendix/5. How to Code by Yourself (part 2).mp4 14.81 MB
10. Appendix/6. How to Succeed in this Course (Long Version).mp4 12.99 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.96 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.28 MB
10. Appendix/9. Python 2 vs Python 3.mp4 7.83 MB
2. Course Preparation/1. How to Succeed in this Course.mp4 3.3 MB
2. Course Preparation/2. Where to get the code and data.mp4 4.43 MB
2. Course Preparation/3. Do you need a review of machine learning.mp4 13.39 MB
3. Build your own spam detector/1. Build your own spam detector - description of data.mp4 1.9 MB
3. Build your own spam detector/10. SMS Spam in Code.mp4 13.92 MB
3. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4 6.54 MB
3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4 30.59 MB
3. Build your own spam detector/4. Naive Bayes Concepts.mp4 39.65 MB
3. Build your own spam detector/5. AdaBoost Concepts.mp4 26.75 MB
3. Build your own spam detector/6. Other types of features.mp4 1.42 MB
3. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp4 10.67 MB
3. Build your own spam detector/8. What is a Vector (Remedial #2).mp4 9.07 MB
3. Build your own spam detector/9. SMS Spam Example.mp4 5.71 MB
4. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp4 5.06 MB
4. Build your own sentiment analyzer/2. Logistic Regression Review.mp4 12.2 MB
4. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp4 7.73 MB
4. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp4 10.55 MB
4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 43.54 MB
4. Build your own sentiment analyzer/6. Sentiment Analysis Extension.mp4 5.16 MB
4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 77.73 MB
5. NLTK Exploration/1. NLTK Exploration POS Tagging.mp4 2.03 MB
5. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.mp4 3.66 MB
5. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp4 6.66 MB
5. NLTK Exploration/4. Want more NLTK.mp4 8.45 MB
6. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp4 3.92 MB
6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 78.21 MB
6. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.mp4 25.44 MB
6. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.mp4 16.88 MB
6. Latent Semantic Analysis/5. Extending LSA.mp4 10.91 MB
7. Write your own article spinner/1. Article Spinning Introduction and Markov Models.mp4 4.66 MB
7. Write your own article spinner/2. More about Language Models.mp4 36.63 MB
7. Write your own article spinner/3. Trigram Model.mp4 3.85 MB
7. Write your own article spinner/4. Precode Exercises.mp4 19.77 MB
7. Write your own article spinner/5. Writing an article spinner in Python.mp4 25.95 MB
7. Write your own article spinner/6. Article Spinner Extension Exercises.mp4 23.68 MB
8. How to learn more about NLP/1. What we didn't talk about.mp4 4.32 MB
9. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4 44.86 MB
9. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4 40.86 MB
9. Machine Learning Basics Review/11. (Review) Section Summary.mp4 24.83 MB
9. Machine Learning Basics Review/2. (Review) What is Classification.mp4 70.67 MB
9. Machine Learning Basics Review/3. (Review) Classification in Code.mp4 139.48 MB
9. Machine Learning Basics Review/4. (Review) What is Regression.mp4 49.56 MB
9. Machine Learning Basics Review/5. (Review) Regression in Code.mp4 69.37 MB
9. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp4 37.99 MB
9. Machine Learning Basics Review/7. (Review) Machine Learning is Nothing but Geometry.mp4 22.74 MB
9. Machine Learning Basics Review/8. (Review) All Data is the Same.mp4 24.8 MB
9. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4 53.55 MB
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