[FreeCourseSite.com] Udemy - Machine Learning Classification Bootcamp in Python - 磁力管家

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文档大小：6.1 GB
文档个数：165个文档
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收录时间：2021-05-06
最近下载：2025-04-28
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文档列表

4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
1. Introduction/2.1 ML Classification Package.zip 138.2 MB
8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
1. Introduction/5. Course Overview.mp4 99.5 MB
5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB
5. Support Vector Machines/8. Support Vector Machines - Project #1 - Part #6.mp4 99.0 MB
4. Logistic Regression/15. Logistic Regression - Project #2 - Part #3.mp4 98.1 MB
4. Logistic Regression/2. Logistic Regression Intuition.mp4 96.4 MB
7. Decision Trees and Random Forest/8. Decision Trees & Random Forest - Project #1 - Part #5.mp4 96.3 MB
8. Naive Bayes Classifiers/10. Project #2 - Overview.mp4 95.5 MB
8. Naive Bayes Classifiers/4. Project #1 - Part #1.mp4 91.9 MB
4. Logistic Regression/16. Logistic Regression - Project #2 - Part #4.mp4 89.9 MB
8. Naive Bayes Classifiers/5. Project #1 - Part #2.mp4 88.4 MB
8. Naive Bayes Classifiers/14. Project #2 - Part #4.mp4 87.0 MB
7. Decision Trees and Random Forest/5. Decision Trees & Random Forest - Project #1 - Part #2.mp4 81.8 MB
4. Logistic Regression/13. Logistic Regression - Project #2 - Part #2.mp4 80.7 MB
7. Decision Trees and Random Forest/14. Decision Trees & Random Forest - Project #2 - Part #2.mp4 76.7 MB
5. Support Vector Machines/6. Support Vector Machines - Project #1 - Part #4.mp4 76.2 MB
7. Decision Trees and Random Forest/6. Decision Trees & Random Forest - Project #1 - Part #3.mp4 74.1 MB
8. Naive Bayes Classifiers/7. Project #1 - Part #4.mp4 72.0 MB
4. Logistic Regression/4. Logistic Regression - Project #1 - Part #1.mp4 69.0 MB
7. Decision Trees and Random Forest/11. Decision Trees & Random Forest - Project #1 - Part #8.mp4 67.5 MB
4. Logistic Regression/10. Logistic Regression - Project #1 - Part #7.mp4 67.2 MB
8. Naive Bayes Classifiers/12. Project #2 - Part #2.mp4 65.3 MB
7. Decision Trees and Random Forest/7. Decision Trees & Random Forest - Project #1 - Part #4.mp4 65.0 MB
4. Logistic Regression/11. Logistic Regression - Project #2 Overview.mp4 64.7 MB
7. Decision Trees and Random Forest/3. Random Forest - Intuition.mp4 64.2 MB
4. Logistic Regression/8. Logistic Regression - Project #1 - Part #5.mp4 63.7 MB
6. K-Nearest Neighbors/5. KNN - Project #1 - Part #3.mp4 62.8 MB
6. K-Nearest Neighbors/10. KNN - Project #2 - Part #3.mp4 61.9 MB
8. Naive Bayes Classifiers/9. Project #1 - Part #6.mp4 61.9 MB
6. K-Nearest Neighbors/4. KNN - Project #1 - Part #2.mp4 61.2 MB
7. Decision Trees and Random Forest/15. Decision Trees & Random Forest - Project #3 - Part #3.mp4 61.0 MB
6. K-Nearest Neighbors/3. KNN - Project #1 - Part #1.mp4 60.8 MB
5. Support Vector Machines/14. Support Vector Machines - Project #2 - Part #4.mp4 59.7 MB
6. K-Nearest Neighbors/9. KNN - Project #2 - Part #2.mp4 59.6 MB
6. K-Nearest Neighbors/6. KNN - Project #1 - Part #4.mp4 57.9 MB
5. Support Vector Machines/12. Support Vector Machines - Project #2 - Part #2.mp4 57.7 MB
4. Logistic Regression/3. Confusion Matrix Overview.mp4 56.4 MB
6. K-Nearest Neighbors/7. KNN - Project #2 Overview.mp4 55.7 MB
5. Support Vector Machines/11. Support Vector Machines - Project #2 - Part #1.mp4 55.3 MB
1. Introduction/1. Introduction and Welcome Message.mp4 54.7 MB
4. Logistic Regression/5. Logistic Regression - Project #1 - Part #2.mp4 54.6 MB
7. Decision Trees and Random Forest/1. Decision Trees and Random Forest Intro and Learning Outcomes.mp4 54.3 MB
7. Decision Trees and Random Forest/9. Decision Trees & Random Forest - Project #1 - Part #6.mp4 53.9 MB
7. Decision Trees and Random Forest/12. Decision Trees & Random Forest - Project #2 Overview.mp4 53.5 MB
4. Logistic Regression/1. Logistic Regression Introduction and Learning Outcomes.mp4 52.7 MB
7. Decision Trees and Random Forest/10. Decision Trees & Random Forest - Project #1 - Part #7.mp4 50.6 MB
5. Support Vector Machines/13. Support Vector Machines - Project #2 - Part #3.mp4 50.4 MB
5. Support Vector Machines/7. Support Vector Machines - Project #1 - Part #5.mp4 49.6 MB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/1. What is Anaconda and How to download it.mp4 46.9 MB
4. Logistic Regression/14. Logistic Regression - Project #2 - Part #2.mp4 45.9 MB
5. Support Vector Machines/1. Support Vector Machines Intro and Learning Outcomes.mp4 43.1 MB
8. Naive Bayes Classifiers/8. Project #1 - Part #5.mp4 42.3 MB
8. Naive Bayes Classifiers/13. Project #2 - Part #3.mp4 40.7 MB
6. K-Nearest Neighbors/1. K-Nearest Neighbors Intro and Learning Outcomes.mp4 39.0 MB
4. Logistic Regression/12. Logistic Regression - Project #2 - Part #1.mp4 38.8 MB
5. Support Vector Machines/3. Support Vector Machines - Project #1 - Part #1.mp4 37.4 MB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/2. What are Jupyter Notebooks.mp4 34.0 MB
7. Decision Trees and Random Forest/4. Decision Trees & Random Forest - Project #1 - Part #1.mp4 31.8 MB
4. Logistic Regression/9. Logistic Regression - Project #1 - Part #6.mp4 30.3 MB
5. Support Vector Machines/10. Project #2 Overview.mp4 30.2 MB
8. Naive Bayes Classifiers/1. Naive Bayes Intro and Learning Outcomes.mp4 30.0 MB
1. Introduction/4. Updates on Udemy Reviews.mp4 24.3 MB
4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.srt 34.7 kB
7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.srt 33.5 kB
5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.srt 29.3 kB
2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.srt 27.6 kB
8. Naive Bayes Classifiers/2. Naive Bayes Intuition.srt 26.9 kB
6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.srt 26.2 kB
7. Decision Trees and Random Forest/2. Decision Trees - Intuition.srt 25.9 kB
8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.srt 24.3 kB
6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.srt 23.9 kB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.srt 23.7 kB
4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.srt 23.4 kB
4. Logistic Regression/2. Logistic Regression Intuition.srt 23.3 kB
8. Naive Bayes Classifiers/6. Project #1 - Part #3.srt 22.2 kB
5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.srt 22.1 kB
4. Logistic Regression/3. Confusion Matrix Overview.srt 20.7 kB
7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.srt 19.3 kB
1. Introduction/5. Course Overview.srt 19.0 kB
5. Support Vector Machines/2. Support Vector Machines - Intuition.srt 19.0 kB
4. Logistic Regression/15. Logistic Regression - Project #2 - Part #3.srt 18.7 kB
7. Decision Trees and Random Forest/8. Decision Trees & Random Forest - Project #1 - Part #5.srt 18.7 kB
5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.srt 18.1 kB
2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.srt 17.4 kB
5. Support Vector Machines/8. Support Vector Machines - Project #1 - Part #6.srt 17.2 kB
8. Naive Bayes Classifiers/11. Project #2 - Part #1.srt 16.5 kB
4. Logistic Regression/13. Logistic Regression - Project #2 - Part #2.srt 16.3 kB
7. Decision Trees and Random Forest/14. Decision Trees & Random Forest - Project #2 - Part #2.srt 16.3 kB
7. Decision Trees and Random Forest/6. Decision Trees & Random Forest - Project #1 - Part #3.srt 16.2 kB
8. Naive Bayes Classifiers/5. Project #1 - Part #2.srt 15.7 kB
4. Logistic Regression/16. Logistic Regression - Project #2 - Part #4.srt 15.4 kB
7. Decision Trees and Random Forest/5. Decision Trees & Random Forest - Project #1 - Part #2.srt 15.3 kB
5. Support Vector Machines/6. Support Vector Machines - Project #1 - Part #4.srt 15.2 kB
8. Naive Bayes Classifiers/4. Project #1 - Part #1.srt 15.1 kB
8. Naive Bayes Classifiers/7. Project #1 - Part #4.srt 14.3 kB
7. Decision Trees and Random Forest/11. Decision Trees & Random Forest - Project #1 - Part #8.srt 14.0 kB
4. Logistic Regression/8. Logistic Regression - Project #1 - Part #5.srt 14.0 kB
8. Naive Bayes Classifiers/10. Project #2 - Overview.srt 13.9 kB
6. K-Nearest Neighbors/4. KNN - Project #1 - Part #2.srt 13.4 kB
4. Logistic Regression/10. Logistic Regression - Project #1 - Part #7.srt 13.2 kB
7. Decision Trees and Random Forest/7. Decision Trees & Random Forest - Project #1 - Part #4.srt 13.0 kB
6. K-Nearest Neighbors/5. KNN - Project #1 - Part #3.srt 12.9 kB
8. Naive Bayes Classifiers/14. Project #2 - Part #4.srt 12.9 kB
7. Decision Trees and Random Forest/15. Decision Trees & Random Forest - Project #3 - Part #3.srt 12.7 kB
7. Decision Trees and Random Forest/3. Random Forest - Intuition.srt 12.1 kB
5. Support Vector Machines/12. Support Vector Machines - Project #2 - Part #2.srt 12.1 kB
4. Logistic Regression/11. Logistic Regression - Project #2 Overview.srt 11.5 kB
6. K-Nearest Neighbors/10. KNN - Project #2 - Part #3.srt 11.5 kB
6. K-Nearest Neighbors/9. KNN - Project #2 - Part #2.srt 11.4 kB
6. K-Nearest Neighbors/6. KNN - Project #1 - Part #4.srt 11.2 kB
8. Naive Bayes Classifiers/9. Project #1 - Part #6.srt 11.2 kB
4. Logistic Regression/4. Logistic Regression - Project #1 - Part #1.srt 11.0 kB
5. Support Vector Machines/13. Support Vector Machines - Project #2 - Part #3.srt 10.7 kB
6. K-Nearest Neighbors/3. KNN - Project #1 - Part #1.srt 10.6 kB
5. Support Vector Machines/14. Support Vector Machines - Project #2 - Part #4.srt 10.3 kB
7. Decision Trees and Random Forest/9. Decision Trees & Random Forest - Project #1 - Part #6.srt 10.1 kB
5. Support Vector Machines/11. Support Vector Machines - Project #2 - Part #1.srt 9.9 kB
5. Support Vector Machines/7. Support Vector Machines - Project #1 - Part #5.srt 9.9 kB
7. Decision Trees and Random Forest/10. Decision Trees & Random Forest - Project #1 - Part #7.srt 9.8 kB
4. Logistic Regression/5. Logistic Regression - Project #1 - Part #2.srt 9.4 kB
8. Naive Bayes Classifiers/13. Project #2 - Part #3.srt 9.1 kB
8. Naive Bayes Classifiers/12. Project #2 - Part #2.srt 8.9 kB
7. Decision Trees and Random Forest/12. Decision Trees & Random Forest - Project #2 Overview.srt 8.8 kB
6. K-Nearest Neighbors/7. KNN - Project #2 Overview.srt 8.7 kB
4. Logistic Regression/14. Logistic Regression - Project #2 - Part #2.srt 8.7 kB
8. Naive Bayes Classifiers/8. Project #1 - Part #5.srt 7.4 kB
4. Logistic Regression/12. Logistic Regression - Project #2 - Part #1.srt 7.2 kB
5. Support Vector Machines/3. Support Vector Machines - Project #1 - Part #1.srt 7.2 kB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/1. What is Anaconda and How to download it.srt 6.6 kB
4. Logistic Regression/9. Logistic Regression - Project #1 - Part #6.srt 6.4 kB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/2. What are Jupyter Notebooks.srt 5.3 kB
5. Support Vector Machines/10. Project #2 Overview.srt 5.2 kB
7. Decision Trees and Random Forest/4. Decision Trees & Random Forest - Project #1 - Part #1.srt 4.7 kB
1. Introduction/1. Introduction and Welcome Message.srt 3.5 kB
7. Decision Trees and Random Forest/1. Decision Trees and Random Forest Intro and Learning Outcomes.srt 3.3 kB
4. Logistic Regression/1. Logistic Regression Introduction and Learning Outcomes.srt 3.2 kB
5. Support Vector Machines/1. Support Vector Machines Intro and Learning Outcomes.srt 2.7 kB
6. K-Nearest Neighbors/1. K-Nearest Neighbors Intro and Learning Outcomes.srt 2.7 kB
8. Naive Bayes Classifiers/1. Naive Bayes Intro and Learning Outcomes.srt 1.8 kB
1. Introduction/4. Updates on Udemy Reviews.srt 1.7 kB
1. Introduction/3. BONUS Learning Paths.html 1.4 kB
9. Bonus Lectures/1. YOUR SPECIAL BONUS.html 1.2 kB
1. Introduction/6. Get the Materials.html 357 Bytes
0. Websites you may like/[FCS Forum].url 133 Bytes
0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
0. Websites you may like/[CourseClub.ME].url 122 Bytes
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/1.1 Anaconda SetupDownload Page.html 103 Bytes
1. Introduction/2. Introduction and Welcome Message [Course Material Download].html 32 Bytes

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