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Download [FCO] M.L.Engineer.Nano v2.0.0

FCO Engineer Nano v2

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[FCO] M.L.Engineer.Nano v2.0.0

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3.9 GB

Total Files

3497

Last Seen

2020-03-30 23:02

Hash

7C873BE002D506151358143465CC0F1334DF4C46

/0. Websites you may like/

1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url

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2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url

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3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url

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4. (FTUApps.com) Download Cracked Developers Applications For Free.url

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5. (Discuss.FTUForum.com) FTU Discussion Forum.url

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How you can help Team-FTU.txt

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/Part 01-Module 01-Lesson 01_Welcome to Machine Learning/

01. 01 Boas-vindas ao programa IntroduçãoMLND V3-A8AnsR6e75I.en.vtt

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01. 01 Boas-vindas ao programa IntroduçãoMLND V3-A8AnsR6e75I.mp4

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01. 01 Boas-vindas ao programa IntroduçãoMLND V3-A8AnsR6e75I.pt-BR.vtt

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01. 01 Boas-vindas ao programa IntroduçãoMLND V3-A8AnsR6e75I.zh-CN.vtt

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01. Welcome to the Machine Learning Engineer Nanodegree Program.html

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02. Projects You Will Build.html

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03. Program Structure.html

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04. Udacity Support.html

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05. Community Guidelines.html

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06. Program Readiness.html

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index.html

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/img/

1-14-machine-learning-and-stanley2x.jpg

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project-prep-create-your-portfolio-2.png

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screen-shot-2018-06-12-at-5.07.10-pm.png

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semi-supervised-learning.jpg

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/Part 01-Module 01-Lesson 02_What is Machine Learning/

01. Introduction-bYeteZQrUcE.en.vtt

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01. Introduction-bYeteZQrUcE.mp4

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01. Introduction-bYeteZQrUcE.pt-BR.vtt

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01. Introduction-bYeteZQrUcE.zh-CN.vtt

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01. What Is Machine Learning.html

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02. Decision Trees Question-1RonLycEJ34.en.vtt

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02. Decision Trees Question-1RonLycEJ34.mp4

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02. Decision Trees Question-1RonLycEJ34.pt-BR.vtt

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02. Decision Trees Question-1RonLycEJ34.zh-CN.vtt

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02. Decision Trees.html

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03. Decision Trees Quiz.html

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04. Decision Trees Answer-h8zH47iFhCo.en.vtt

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04. Decision Trees Answer-h8zH47iFhCo.mp4

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04. Decision Trees Answer-h8zH47iFhCo.pt-BR.vtt

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04. Decision Trees Answer-h8zH47iFhCo.zh-CN.vtt

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04. Decision Trees Answer.html

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05. Naive Bayes Quiz-jsLkVYXmr3E.en.vtt

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05. Naive Bayes Quiz-jsLkVYXmr3E.mp4

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05. Naive Bayes Quiz-jsLkVYXmr3E.pt-BR.vtt

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05. Naive Bayes Quiz-jsLkVYXmr3E.zh-CN.vtt

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05. Naive Bayes.html

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06. Naive Bayes Quiz.html

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07. Naive Bayes Answer-YKN-fjuZ1VU.en.vtt

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07. Naive Bayes Answer-YKN-fjuZ1VU.mp4

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07. Naive Bayes Answer-YKN-fjuZ1VU.pt-BR.vtt

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07. Naive Bayes Answer-YKN-fjuZ1VU.zh-CN.vtt

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07. Naive Bayes Answer.html

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08. Gradient Descent-BEC0uH1fuGU.en.vtt

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08. Gradient Descent-BEC0uH1fuGU.mp4

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08. Gradient Descent-BEC0uH1fuGU.pt-BR.vtt

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08. Gradient Descent-BEC0uH1fuGU.zh-CN.vtt

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08. Gradient Descent.html

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09. Linear Regression Question-sf51L0RN6zc.en.vtt

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09. Linear Regression Question-sf51L0RN6zc.mp4

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09. Linear Regression Question-sf51L0RN6zc.pt-BR.vtt

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09. Linear Regression Question-sf51L0RN6zc.zh-CN.vtt

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09. Linear Regression Quiz.html

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10. Linear Regression Answer-L5QBqYDNJn0.en.vtt

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10. Linear Regression Answer-L5QBqYDNJn0.mp4

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10. Linear Regression Answer-L5QBqYDNJn0.pt-BR.vtt

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10. Linear Regression Answer-L5QBqYDNJn0.zh-CN.vtt

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10. Linear Regression Answer.html

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11. Logistic Regression Question-wQXKdeVHTmc.en.vtt

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11. Logistic Regression Question-wQXKdeVHTmc.mp4

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11. Logistic Regression Question-wQXKdeVHTmc.pt-BR.vtt

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11. Logistic Regression Question-wQXKdeVHTmc.zh-CN.vtt

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11. Logistic Regression Quiz.html

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12. Logistic Regression Answer-JuAJd9Qvs6U.en.vtt

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12. Logistic Regression Answer-JuAJd9Qvs6U.mp4

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12. Logistic Regression Answer-JuAJd9Qvs6U.pt-BR.vtt

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12. Logistic Regression Answer-JuAJd9Qvs6U.zh-CN.vtt

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12. Logistic Regression Answer.html

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13. SVM Question-Fwnjx0s_AIw.en.vtt

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13. SVM Question-Fwnjx0s_AIw.mp4

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13. SVM Question-Fwnjx0s_AIw.pt-BR.vtt

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13. SVM Question-Fwnjx0s_AIw.zh-CN.vtt

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13. Support Vector Machines.html

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14. Support Vector Machines Quiz.html

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15. SVM Answer-JrUtTwfnsfM.en.vtt

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15. SVM Answer-JrUtTwfnsfM.mp4

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15. SVM Answer-JrUtTwfnsfM.pt-BR.vtt

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15. SVM Answer-JrUtTwfnsfM.zh-CN.vtt

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15. Support Vector Machines Answer.html

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16. Neural Networks-xFu1_2K2D2U.en.vtt

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16. Neural Networks-xFu1_2K2D2U.mp4

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16. Neural Networks-xFu1_2K2D2U.pt-BR.vtt

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16. Neural Networks-xFu1_2K2D2U.zh-CN.vtt

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16. Neural Networks.html

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17. Kernel Method Quiz-x0JqH6-Dhvw.en.vtt

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17. Kernel Method Quiz-x0JqH6-Dhvw.mp4

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17. Kernel Method Quiz-x0JqH6-Dhvw.pt-BR.vtt

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17. Kernel Method Quiz-x0JqH6-Dhvw.zh-CN.vtt

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17. Kernel Method.html

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18. Kernel Method Quiz.html

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19. Kernel Method Answer-dRFd6HaAXys.en.vtt

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19. Kernel Method Answer-dRFd6HaAXys.mp4

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19. Kernel Method Answer-dRFd6HaAXys.pt-BR.vtt

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19. Kernel Method Answer-dRFd6HaAXys.zh-CN.vtt

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19. Kernel Method Answer.html

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20. Recap and Challenge-ecREasTrKu4.en.vtt

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20. Recap and Challenge-ecREasTrKu4.mp4

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20. Recap and Challenge-ecREasTrKu4.pt-BR.vtt

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20. Recap and Challenge-ecREasTrKu4.zh-CN.vtt

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20. Recap and Challenge.html

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21. K-means Clustering-pv_i08zjpQw.en.vtt

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21. K-means Clustering-pv_i08zjpQw.mp4

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21. K-means Clustering-pv_i08zjpQw.pt-BR.vtt

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21. K-means Clustering-pv_i08zjpQw.zh-CN.vtt

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21. K-means Clustering.html

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22. Hierarchical Clustering-1PldDT8AwMA.en.vtt

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22. Hierarchical Clustering-1PldDT8AwMA.mp4

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22. Hierarchical Clustering-1PldDT8AwMA.pt-BR.vtt

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22. Hierarchical Clustering-1PldDT8AwMA.zh-CN.vtt

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22. Hierarchical Clustering.html

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23. Conclusion-hJEuaOUu2yA.en.vtt

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23. Conclusion-hJEuaOUu2yA.mp4

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23. Conclusion-hJEuaOUu2yA.pt-BR.vtt

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23. Conclusion-hJEuaOUu2yA.zh-CN.vtt

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23. Summary.html

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index.html

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/img/

decision-trees.png

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kernel-trick.png

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naive-bayes-quiz.png

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svm-image.png

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/Part 01-Module 01-Lesson 03_Introductory Practice Project/

01. Overview.html

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02. Software Requirements.html

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03. Project files.html

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04. Titanic Survival Exploration.html

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index.html

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/Part 01-Module 02-Lesson 01_Nanodegree Career Services/

01. Access the Career Portal.html

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02. Prepare for the Udacity Talent Program.html

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index.html

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/img/

feb-26-2019-16-19-56.gif

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profiles-view.png

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screen-shot-2019-02-26-at-4.09.24-pm.png

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screen-shot-2019-02-26-at-4.25.04-pm.png

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talent-program.png

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/Part 01-Module 03-Lesson 01_Get Help with Your Account/

01. FAQ.html

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02. Support.html

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03. Bugcrowd.html

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index.html

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/img/

screen-shot-2018-11-09-at-7.38.47-pm.png

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screen-shot-2018-11-09-at-7.48.22-pm.png

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screen-shot-2018-11-09-at-7.49.34-pm.png

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screen-shot-2018-11-09-at-7.49.50-pm.png

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screen-shot-2019-01-14-at-4.05.23-pm.png

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/Part 01-Module 04-Lesson 01_NumPy and pandas Assessment/

01. Assessment.html

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index.html

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/Part 01-Module 05-Lesson 01_Training and Testing Models/

01. 01 Intro-4C4PuJANIdE.en.vtt

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01. 01 Intro-4C4PuJANIdE.mp4

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01. 01 Intro-4C4PuJANIdE.pt-BR.vtt

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01. 01 Intro-4C4PuJANIdE.zh-CN.vtt

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01. Intro.html

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02. 02 Intro SC V1-mIgABrjJVBY.en.vtt

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02. 02 Intro SC V1-mIgABrjJVBY.mp4

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02. 02 Intro SC V1-mIgABrjJVBY.pt-BR.vtt

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02. Outline.html

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03. Stats Refresher.html

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04. Loading data into Pandas.html

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05. NumPy Arrays.html

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06. Training models in sklearn.html

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07. Tuning Parameters Manually.html

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08. MLND Turning Paramaters-eSv2lPcnRM0.en.vtt

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08. MLND Turning Paramaters-eSv2lPcnRM0.mp4

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08. MLND Turning Paramaters-eSv2lPcnRM0.pt-BR.vtt

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08. MLND Turning Paramaters-eSv2lPcnRM0.zh-CN.vtt

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08. Tuning Parameters Automatically.html

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09. Testing your models.html

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09. Testing-gmxGRJSKEb0.en-US.vtt

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09. Testing-gmxGRJSKEb0.mp4

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09. Testing-gmxGRJSKEb0.pt-BR.vtt

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09. Testing-gmxGRJSKEb0.zh-CN.vtt

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10. Quiz Testing in sklearn.html

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index.html

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/img/

circle-data.png

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curves.png

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dataframe.png

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eggsdata.png

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linear-boundary.png

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points.png

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smalldf.png

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/Part 01-Module 06-Lesson 01_Evaluation Metrics/

01. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt

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01. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt

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01. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4

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01. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt

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01. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt

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01. Confusion Matrix.html

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02. Confusion Matrix 2.html

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02. Confusion-Matrix-Solution-ywwSzyU9rYs.en-US.vtt

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02. Confusion-Matrix-Solution-ywwSzyU9rYs.en.vtt

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02. Confusion-Matrix-Solution-ywwSzyU9rYs.mp4

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02. Confusion-Matrix-Solution-ywwSzyU9rYs.pt-BR.vtt

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02. Confusion-Matrix-Solution-ywwSzyU9rYs.zh-CN.vtt

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03. Accuracy-s6SfhPTNOHA.en-US.vtt

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03. Accuracy-s6SfhPTNOHA.en.vtt

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03. Accuracy-s6SfhPTNOHA.mp4

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03. Accuracy-s6SfhPTNOHA.pt-BR.vtt

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03. Accuracy-s6SfhPTNOHA.zh-CN.vtt

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03. Accuracy.html

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04. Accuracy 2-ueYCLfd_aNQ.en-US.vtt

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04. Accuracy 2-ueYCLfd_aNQ.en.vtt

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04. Accuracy 2-ueYCLfd_aNQ.mp4

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04. Accuracy 2-ueYCLfd_aNQ.pt-BR.vtt

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04. Accuracy 2-ueYCLfd_aNQ.pt.vtt

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04. Accuracy 2-ueYCLfd_aNQ.zh-CN.vtt

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04. Accuracy 2.html

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05. When Accuracy Wont Work-r0-O-gIDXZ0.en.vtt

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05. When Accuracy Wont Work-r0-O-gIDXZ0.mp4

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05. When Accuracy Wont Work-r0-O-gIDXZ0.pt-BR.vtt

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05. When accuracy won't work.html

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06. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.en.vtt

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06. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.mp4

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06. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.pt-BR.vtt

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06. False Negatives and Positives.html

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07. Answer False Negatives And Positives-KOytJL1lvgg.en.vtt

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07. Answer False Negatives And Positives-KOytJL1lvgg.mp4

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07. Answer False Negatives And Positives-KOytJL1lvgg.pt-BR.vtt

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07. Precision and Recall.html

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08. 06 Precision SC V1-q2wVorBfefU.en.vtt

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08. 06 Precision SC V1-q2wVorBfefU.mp4

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08. 06 Precision SC V1-q2wVorBfefU.pt-BR.vtt

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08. Precision.html

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09. 07 Recall SC V1-0n5wUZiefkQ.en.vtt

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09. 07 Recall SC V1-0n5wUZiefkQ.mp4

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09. 07 Recall SC V1-0n5wUZiefkQ.pt-BR.vtt

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09. Recall.html

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10. 08 F1 Score SC V1-TRzBeL07fSg.en.vtt

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10. 08 F1 Score SC V1-TRzBeL07fSg.mp4

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10. 08 F1 Score SC V1-TRzBeL07fSg.pt-BR.vtt

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10. F1 Score.html

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11. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.en.vtt

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11. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.mp4

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11. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.pt-BR.vtt

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11. F-beta Score.html

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12. ROC Curve-2Iw5TiGzJI4.en.vtt

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12. ROC Curve-2Iw5TiGzJI4.mp4

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12. ROC Curve-2Iw5TiGzJI4.pt-BR.vtt

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12. ROC Curve-2Iw5TiGzJI4.zh-CN.vtt

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12. ROC Curve.html

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13. Regression Metrics.html

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13. Regression-Metrics-906P4BPnl9A.en-US.vtt

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13. Regression-Metrics-906P4BPnl9A.mp4

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13. Regression-Metrics-906P4BPnl9A.pt-BR.vtt

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13. Regression-Metrics-906P4BPnl9A.zh-CN.vtt

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index.html

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/img/

accuracy-quiz.png

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confusion.png

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email.png

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fbeta.png

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medical.png

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precision-quiz.png

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recall-quiz.png

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/Part 01-Module 07-Lesson 01_Model Selection/

01. 04 L Types Of Errors-Twf1qnPZeSY.en-US.vtt

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01. 04 L Types Of Errors-Twf1qnPZeSY.mp4

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01. 04 L Types Of Errors-Twf1qnPZeSY.pt-BR.vtt

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01. 04 L Types Of Errors-Twf1qnPZeSY.zh-CN.vtt

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01. Types of Errors.html

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02. Model Complexity Graph-Question-YS5OQCA5cLY.en-US.vtt

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02. Model Complexity Graph-Question-YS5OQCA5cLY.mp4

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02. Model Complexity Graph-Question-YS5OQCA5cLY.pt-BR.vtt

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02. Model Complexity Graph-Question-YS5OQCA5cLY.zh-CN.vtt

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02. Model Complexity Graph.html

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03. Cross Validation.html

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03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.en-US.vtt

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03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.mp4

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03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.pt-BR.vtt

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03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.zh-CN.vtt

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04. K-Fold Cross Validation.html

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04. KFold Cross Validation V3 V1-9W6o6eWGi-0.en.vtt

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04. KFold Cross Validation V3 V1-9W6o6eWGi-0.mp4

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04. KFold Cross Validation V3 V1-9W6o6eWGi-0.pt-BR.vtt

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05. Learning Curves SC V1-ZNhnNVKl8NM.en.vtt

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05. Learning Curves SC V1-ZNhnNVKl8NM.mp4

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05. Learning Curves SC V1-ZNhnNVKl8NM.pt-BR.vtt

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05. Learning Curves.html

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06. Detecting Overfitting and Underfitting with Learning Curves.html

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07. Solution Detecting Overfitting and Underfitting.html

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08. Grid Search SC V1-zDw-ZGiHW5I.en.vtt

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08. Grid Search SC V1-zDw-ZGiHW5I.mp4

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08. Grid Search SC V1-zDw-ZGiHW5I.pt-BR.vtt

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08. Grid Search.html

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09. Grid Search in sklearn.html

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10. Grid Search Lab.html

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11. [Solution] Grid Search Lab.html

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12. Outro SC V1-YD1grQje9fw.en.vtt

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12. Outro SC V1-YD1grQje9fw.mp4

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12. Outro SC V1-YD1grQje9fw.pt-BR.vtt

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12. Summary.html

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13. MLND Outro-sFvMBncQjr8.en.vtt

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13. MLND Outro-sFvMBncQjr8.mp4

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13. MLND Outro-sFvMBncQjr8.pt-BR.vtt

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13. MLND Outro-sFvMBncQjr8.zh-CN.vtt

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13. Outro.html

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index.html

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/img/

circle-data.png

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complexity.png

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learning-curves.png

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models.png

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/Part 01-Module 08-Lesson 01_Model Evaluation and Validation Assessment/

01. Model Evaluation and Validation assessment.html

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index.html

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/Part 01-Module 09-Lesson 01_Predicting Boston Housing Prices/

01. Project Overview.html

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02. Starting the project.html

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03. Submitting the project.html

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04. Uploading to Workspace.html

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05. Project Workspace.html

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Project Description - Predicting Boston Housing Prices.html

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Project Rubric - Predicting Boston Housing Prices.html

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index.html

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/img/

step-0.png

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step-2-file-upload.png

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step1-file-upload.png

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/Part 01-Module 10-Lesson 01_Linear Regression/

01. Intro.html

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01. Welcome To Linear Regression-zxZkTkM34BY.en.vtt

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01. Welcome To Linear Regression-zxZkTkM34BY.mp4

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01. Welcome To Linear Regression-zxZkTkM34BY.pt-BR.vtt

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02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.en.vtt

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02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.ja-JP.vtt

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02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.mp4

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02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.pt-BR.vtt

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02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.zh-CN.vtt

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02. Quiz Housing Prices.html

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03. Solution Housing Prices-uhdTulw9-Nc.en.vtt

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13. Mini-batch Gradient Descent.html

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14. Absolute Error vs Squared Error.html

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15. Linear Regression in scikit-learn.html

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22. Regularization-PyFNIcsNma0.en.vtt

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23. Conclusion-pyeojf0NniQ.en.vtt

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/Part 01-Module 10-Lesson 02_Perceptron Algorithm/

01. Intro.html

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01. Perception Algorithm V2-ebIlG6Pqwas.en.vtt

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02. Classification Problems 1.html

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03. Classification Problems 2.html

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04. Linear Boundaries-X-uMlsBi07k.en.vtt

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05. 09 Higher Dimensions-eBHunImDmWw.en.vtt

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06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt

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06. Perceptrons.html

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07. Perceptrons as Logical Operators.html

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08. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt

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/Part 01-Module 10-Lesson 03_Decision Trees/

01. Intro.html

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01. MLND SL DT 00 Intro V2-l34ijtQhVNk.en.vtt

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02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.en.vtt

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05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.en.vtt

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05. Quiz Student Admissions.html

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07. Entropy-piLpj1V1HEk.en.vtt

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07. Entropy.html

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11. Multiclass Entropy.html

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12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.en.vtt

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13. Solution Information Gain.html

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14. Maximizing Information Gain-3FgJOpKfdY8.en.vtt

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15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.en.vtt

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15. Random Forests.html

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16. Hyperparameters.html

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17. Decision Trees in sklearn.html

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18. Titanic Survival Model with Decision Trees.html

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19. [Solution] Titanic Survival Model.html

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/Part 01-Module 10-Lesson 04_Naive Bayes/

01. Intro.html

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02. Guess the Person.html

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03. Known and Inferred.html

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04. Guess the Person Now.html

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05. Bayes Theorem.html

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06. Quiz False Positives.html

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07. Solution False Positives.html

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08. Bayesian Learning 1.html

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11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.mp4

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11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.pt-BR.vtt

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11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.zh-CN.vtt

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11. Naive Bayes Algorithm 1.html

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12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.en.vtt

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12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.mp4

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12. Naive Bayes Algorithm 2.html

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13. Building a Spam Classifier.html

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14. Project.html

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15. Spam Classifier - Workspace.html

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16. Outro.html

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index.html

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/img/

meme.png

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spam.png

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spamham.png

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/Part 01-Module 10-Lesson 05_Support Vector Machines/

01. Intro.html

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01. Support Vector Machine V2-LBmM6pZCrI0.en.vtt

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01. Support Vector Machine V2-LBmM6pZCrI0.mp4

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02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.en.vtt

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02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.mp4

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02. Which line is better.html

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03. Minimizing Distances.html

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03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.en.vtt

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03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.mp4

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04. Error Function Intuition.html

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04. SVM 03 Error Function V1-l-ahImxoi-U.en.vtt

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04. SVM 03 Error Function V1-l-ahImxoi-U.mp4

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05. Perceptron Algorithm.html

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05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.mp4

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06. Classification Error.html

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07. Margin Error.html

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07. SVM 06 Margin Error V2-dSac8Gfgbok.mp4

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08. (Optional) Margin Error Calculation.html

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09. Error Function.html

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09. SVM 07 Error Function V1-A1wbrcSYc1c.en.vtt

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09. SVM 07 Error Function V1-A1wbrcSYc1c.mp4

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10. SVM 08 The C Parameter V2-6CxPhVo0hRw.en.vtt

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10. SVM 08 The C Parameter V2-6CxPhVo0hRw.mp4

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10. The C Parameter.html

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11. Polynomial Kernel 1.html

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17. SVMs in sklearn.html

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18. Outro.html

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index.html

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/Part 01-Module 10-Lesson 06_Ensemble Methods/

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02. Bagging.html

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03. AdaBoost.html

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09. AdaBoost in sklearn.html

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10. Resources.html

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11. Outro.html

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11. Supervised Learning Outro V2-7X2SDqzGrdU.mp4

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index.html

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/Part 01-Module 10-Lesson 07_Supervised Learning Assessment/

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index.html

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/Part 01-Module 10-Lesson 08_Supervised Learning Project/

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01. ML Charity Project-aVodYHcOB8U.mp4

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01. Overview.html

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06. Project Workspace.html

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Project Description - Finding Donors for CharityML.html

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Project Rubric - Finding Donors for CharityML.html

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index.html

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/Part 01-Module 11-Lesson 01_Clustering/

01. Introduction.html

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16. Counterintuitive Clusters-aveIz1JYeAg.pt-BR.vtt

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16. Counterintuitive Clusters-aveIz1JYeAg.zh-CN.vtt

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16. Counterintuitive Clusters.html

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17. Counterintuitive Clusters 2-HyjBus7S2gY.ar.vtt

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17. Counterintuitive Clusters 2-HyjBus7S2gY.en.vtt

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17. Counterintuitive Clusters 2-HyjBus7S2gY.mp4

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17. Counterintuitive Clusters 2-HyjBus7S2gY.pt-BR.vtt

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17. Counterintuitive Clusters 2-HyjBus7S2gY.zh-CN.vtt

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17. Counterintuitive Clusters 2-xSQTzAeeoEc.ar.vtt

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17. Counterintuitive Clusters 2-xSQTzAeeoEc.mp4

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17. Counterintuitive Clusters 2-xSQTzAeeoEc.pt-BR.vtt

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17. Counterintuitive Clusters 2.html

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index.html

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/img/

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/Part 01-Module 11-Lesson 02_Clustering Mini-Project/

01. Intro.html

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02. K-means clustering of movie ratings.html

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03. Solution.html

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index.html

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/Part 01-Module 11-Lesson 03_Hierarchical and Density-based Clustering/

01. K-means considerations.html

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01. MLND - Unsupervised Learning - L2 01 V2-NHb8w_M8nDY.en.vtt

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01. MLND - Unsupervised Learning - L2 01 V2-NHb8w_M8nDY.mp4

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01. MLND - Unsupervised Learning - L2 01 V2-NHb8w_M8nDY.pt-BR.vtt

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01. MLND - Unsupervised Learning - L2 01 V2-NHb8w_M8nDY.zh-CN.vtt

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02. MLND - Unsupervised Learning - L2 02 V1-Ed6RKuBzKWA.en.vtt

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02. MLND - Unsupervised Learning - L2 02 V1-Ed6RKuBzKWA.mp4

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02. MLND - Unsupervised Learning - L2 02 V1-Ed6RKuBzKWA.pt-BR.vtt

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02. MLND - Unsupervised Learning - L2 02 V1-Ed6RKuBzKWA.zh-CN.vtt

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02. Overview of other clustering methods.html

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03. Hierarchical clustering single-link.html

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03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.en.vtt

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03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.mp4

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03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.pt-BR.vtt

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03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.zh-CN.vtt

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04. Examining single-link clustering.html

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04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.en.vtt

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04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.mp4

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04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.pt-BR.vtt

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04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.zh-CN.vtt

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05. Complete-link, average-link, Ward.html

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05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.en.vtt

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05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.mp4

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05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.pt-BR.vtt

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05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.zh-CN.vtt

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06. Hierarchical clustering implementation.html

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06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.en.vtt

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06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.mp4

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06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.pt-BR.vtt

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06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.zh-CN.vtt

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07. [Lab] Hierarchical clustering .html

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08. [Lab Solution] Hierarchical Clustering.html

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09. HC examples and applications.html

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09. MLND - Unsupervised Learning - L2 07 HC Examples Applications MAIN V1 V2-HTahFoQwk2g.en.vtt

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09. MLND - Unsupervised Learning - L2 07 HC Examples Applications MAIN V1 V2-HTahFoQwk2g.mp4

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09. MLND - Unsupervised Learning - L2 07 HC Examples Applications MAIN V1 V2-HTahFoQwk2g.pt-BR.vtt

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09. MLND - Unsupervised Learning - L2 07 HC Examples Applications MAIN V1 V2-HTahFoQwk2g.zh-CN.vtt

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10. [Quiz] Hierarchical clustering.html

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11. DBSCAN.html

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11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.en.vtt

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11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.mp4

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11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.pt-BR.vtt

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11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.zh-CN.vtt

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12. DBSCAN implementation.html

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12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.en.vtt

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12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.mp4

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12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.pt-BR.vtt

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12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.zh-CN.vtt

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13. [Lab] DBSCAN.html

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14. [Lab Solution] DBSCAN.html

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15. DBSCAN examples applications.html

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15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples Applications MAIN V1 V2-GhyFsjQ4FkA.en.vtt

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15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples Applications MAIN V1 V2-GhyFsjQ4FkA.mp4

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15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples Applications MAIN V1 V2-GhyFsjQ4FkA.pt-BR.vtt

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15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples Applications MAIN V1 V2-GhyFsjQ4FkA.zh-CN.vtt

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16. [Quiz] DBSCAN.html

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index.html

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/Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/

01. Intro.html

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01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.en.vtt

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01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.mp4

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01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.pt-BR.vtt

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01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.zh-CN.vtt

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02. Gaussian Mixture Model (GMM) Clustering.html

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02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.en.vtt

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02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.mp4

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02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.pt-BR.vtt

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02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.zh-CN.vtt

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03. Gaussian Distribution in One Dimension.html

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03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.en.vtt

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03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.mp4

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03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.pt-BR.vtt

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03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.zh-CN.vtt

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04. GMM Clustering in One Dimension.html

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04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.en.vtt

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04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.mp4

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04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.pt-BR.vtt

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04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.zh-CN.vtt

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05. Gaussian Distribution in 2D.html

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05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.en.vtt

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05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.mp4

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05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.pt-BR.vtt

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05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.zh-CN.vtt

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06. GMM in 2D.html

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06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.en.vtt

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06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.mp4

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06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.pt-BR.vtt

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06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.zh-CN.vtt

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07. Quiz Gaussian Mixtures.html

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08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.en.vtt

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08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.mp4

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08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.pt-BR.vtt

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08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.zh-CN.vtt

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08. Overview of The Expectation Maximization (EM) Algorithm.html

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09. Expectation Maximization Part 1.html

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09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.en.vtt

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09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.mp4

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09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.pt-BR.vtt

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09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.zh-CN.vtt

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10. Expectation Maximization Part 2.html

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10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.en.vtt

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10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.mp4

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10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.pt-BR.vtt

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10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.zh-CN.vtt

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11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.en.vtt

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11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.mp4

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11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.pt-BR.vtt

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11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.zh-CN.vtt

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11. Visual Example of EM Progress.html

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12. Expectation Maximization.html

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13. GMM Implementation.html

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13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.en.vtt

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13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.mp4

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13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.pt-BR.vtt

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13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.zh-CN.vtt

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14. GMM Examples Applications.html

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14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.en.vtt

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14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.mp4

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14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.pt-BR.vtt

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14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.zh-CN.vtt

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15. Cluster Analysis Process.html

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15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.en.vtt

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15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.mp4

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15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.pt-BR.vtt

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15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.zh-CN.vtt

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16. Cluster Validation.html

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16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.en.vtt

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16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.mp4

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16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.pt-BR.vtt

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16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.zh-CN.vtt

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17. External Validation Indices.html

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17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.en.vtt

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17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.mp4

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17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.pt-BR.vtt

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17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.zh-CN.vtt

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18. Quiz Adjusted Rand Index.html

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19. Internal Validation Indices.html

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19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.en.vtt

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19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.mp4

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19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.pt-BR.vtt

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19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.zh-CN.vtt

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20. Silhouette Coefficient .html

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21. GMM Cluster Validation Lab.html

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22. GMM Cluster Validation Lab Solution.html

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index.html

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/img/

external-indices-quiz.png

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gmm-1d-quiz.png

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/Part 01-Module 12-Lesson 01_Feature Scaling/

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01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.mp4

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01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.pt-BR.vtt

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01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.en.vtt

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01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.mp4

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01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.pt-BR.vtt

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01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.zh-CN.vtt

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01. Chris's T-Shirt Size (Intuition).html

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02. A Metric for Chris-O0bvLU4l0is.ar.vtt

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02. A Metric for Chris-O0bvLU4l0is.en.vtt

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02. A Metric for Chris-O0bvLU4l0is.mp4

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02. A Metric for Chris-O0bvLU4l0is.pt-BR.vtt

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02. A Metric for Chris-O0bvLU4l0is.zh-CN.vtt

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02. A Metric for Chris-Thj7e55iSlA.ar.vtt

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