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[FreeCourseSite.com] Udemy - Data Science Natural Language Processing (NLP) in Python
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2022-1-15 04:38
2024-8-28 23:37
183
1.64 GB
62
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FreeCourseSite
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Udemy
-
Data
Science
Natural
Language
Processing
NLP
in
Python
文件列表
1. Natural Language Processing - What is it used for/1. Introduction and Outline.mp4
2.51MB
1. Natural Language Processing - What is it used for/2. NLP Applications.mp4
5.72MB
1. Natural Language Processing - What is it used for/3. Why is NLP hard.mp4
7.13MB
1. Natural Language Processing - What is it used for/4. The Central Message of this Course.mp4
3.15MB
10. Appendix/1. What is the Appendix.mp4
5.45MB
10. Appendix/10. What order should I take your courses in (part 1).mp4
29.32MB
10. Appendix/11. What order should I take your courses in (part 2).mp4
37.62MB
10. Appendix/2. Windows-Focused Environment Setup 2018.mp4
186.47MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
43.92MB
10. Appendix/4. How to Code by Yourself (part 1).mp4
24.53MB
10. Appendix/5. How to Code by Yourself (part 2).mp4
14.81MB
10. Appendix/6. How to Succeed in this Course (Long Version).mp4
12.99MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
38.96MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4
78.28MB
10. Appendix/9. Python 2 vs Python 3.mp4
7.83MB
2. Course Preparation/1. How to Succeed in this Course.mp4
3.3MB
2. Course Preparation/2. Where to get the code and data.mp4
4.43MB
2. Course Preparation/3. Do you need a review of machine learning.mp4
13.39MB
3. Build your own spam detector/1. Build your own spam detector - description of data.mp4
1.9MB
3. Build your own spam detector/10. SMS Spam in Code.mp4
13.92MB
3. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4
6.54MB
3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4
30.59MB
3. Build your own spam detector/4. Naive Bayes Concepts.mp4
39.65MB
3. Build your own spam detector/5. AdaBoost Concepts.mp4
26.75MB
3. Build your own spam detector/6. Other types of features.mp4
1.42MB
3. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp4
10.67MB
3. Build your own spam detector/8. What is a Vector (Remedial #2).mp4
9.07MB
3. Build your own spam detector/9. SMS Spam Example.mp4
5.71MB
4. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp4
5.06MB
4. Build your own sentiment analyzer/2. Logistic Regression Review.mp4
12.2MB
4. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp4
7.73MB
4. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp4
10.55MB
4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4
43.54MB
4. Build your own sentiment analyzer/6. Sentiment Analysis Extension.mp4
5.16MB
4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4
77.73MB
5. NLTK Exploration/1. NLTK Exploration POS Tagging.mp4
2.03MB
5. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.mp4
3.66MB
5. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp4
6.66MB
5. NLTK Exploration/4. Want more NLTK.mp4
8.45MB
6. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp4
3.92MB
6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4
78.21MB
6. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.mp4
25.44MB
6. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.mp4
16.88MB
6. Latent Semantic Analysis/5. Extending LSA.mp4
10.91MB
7. Write your own article spinner/1. Article Spinning Introduction and Markov Models.mp4
4.66MB
7. Write your own article spinner/2. More about Language Models.mp4
36.63MB
7. Write your own article spinner/3. Trigram Model.mp4
3.85MB
7. Write your own article spinner/4. Precode Exercises.mp4
19.77MB
7. Write your own article spinner/5. Writing an article spinner in Python.mp4
25.95MB
7. Write your own article spinner/6. Article Spinner Extension Exercises.mp4
23.68MB
8. How to learn more about NLP/1. What we didn't talk about.mp4
4.32MB
9. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4
44.86MB
9. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4
40.86MB
9. Machine Learning Basics Review/11. (Review) Section Summary.mp4
24.83MB
9. Machine Learning Basics Review/2. (Review) What is Classification.mp4
70.67MB
9. Machine Learning Basics Review/3. (Review) Classification in Code.mp4
139.48MB
9. Machine Learning Basics Review/4. (Review) What is Regression.mp4
49.56MB
9. Machine Learning Basics Review/5. (Review) Regression in Code.mp4
69.37MB
9. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp4
37.99MB
9. Machine Learning Basics Review/7. (Review) Machine Learning is Nothing but Geometry.mp4
22.74MB
9. Machine Learning Basics Review/8. (Review) All Data is the Same.mp4
24.8MB
9. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4
53.55MB
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