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Udacity Machine Learning Engineer Nanodegree

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Udacity - Machine Learning Engineer Nanodegree

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5.8 GB

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/.../Part 10-Module 02-Lesson 08_Technical Interview - Python/

07. Coding-zhQYREUI8Z0.mp4

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01. Interview Introduction-dRsHYt1Lddc.en-US.vtt

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01. Interview Introduction-dRsHYt1Lddc.mp4

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01. Interview Introduction.html

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02. Clarifying the Question-XvvKBmKC_84.en-US.vtt

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05. Brainstorming-LJFYhMDCCsU.en-US.vtt

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07. Coding-zhQYREUI8Z0.en-US.vtt

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07. Coding.html

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08. Coding 2-qEteyPNRSwU.en.vtt

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08. Coding 2-qEteyPNRSwU.mp4

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08. Coding 2.html

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09. Debugging-Bz1tlvkql9Q.en-US.vtt

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10. Interview Wrap-Up.html

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11. Time for Live Practice with Pramp.html

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12. Next Steps.html

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13. Resources in Your Career Portal.html

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14. Project Description.html

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index.html

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Project Description - Technical Interview Practice.html

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Project Rubric - Technical Interview Practice.html

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/

Visit Coursedrive.net.url

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Course Downloaded from coursedrive.net.txt

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/Udacity - Machine Learning Engineer Nanodegree nd009t v1.0.0/

index.html

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ReadMe.txt

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/assets/css/

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/assets/img/

udacimak.png

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bootstrap.min.js

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

01. 01 MLNDIntro Program Welcome V3-A8AnsR6e75I.en.vtt

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01. 01 MLNDIntro Program Welcome V3-A8AnsR6e75I.mp4

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01. 01 MLNDIntro Program Welcome 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-P7YK47GUGWk.en.vtt

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02. Projects You Will Build-P7YK47GUGWk.mp4

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02. Projects You Will Build.html

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03. Program Structure-rjk8-r-Aa5U.en.vtt

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03. Program Structure-rjk8-r-Aa5U.mp4

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03. Program Structure.html

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04. Deadline Policy.html

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05. Udacity Support.html

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06. Community Guidelines.html

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07. Program Readiness.html

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08. Week 1 Plan.html

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09. Week 2 Plan.html

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index.html

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

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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. 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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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.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.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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08. Gradient Descent-BEC0uH1fuGU.en.vtt

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09. Linear Regression Question-sf51L0RN6zc.en.vtt

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11. Logistic Regression Question-wQXKdeVHTmc.en.vtt

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12. Logistic Regression Answer.html

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13. Support Vector Machines.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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14. Support Vector Machines Quiz.html

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15. Support Vector Machines Answer.html

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15. SVM Answer-JrUtTwfnsfM.en.vtt

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15. SVM Answer-JrUtTwfnsfM.mp4

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16. Neural Networks-xFu1_2K2D2U.en.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.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.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.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.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.html

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23. Conclusion-hJEuaOUu2yA.en.vtt

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23. Summary.html

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index.html

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

decision-trees.png

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kernel-trick.png

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naive-bayes-quiz.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_Career Services Available to You/

01. Meet the Careers Team-cuKecPpZ7PM.en.vtt

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01. Meet the Careers Team-cuKecPpZ7PM.mp4

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01. Meet the Careers Team.html

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02. Access Your Career Portal.html

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03. Your Udacity Professional Profile.html

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index.html

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/.../Part 01-Module 02-Lesson 01_Career Services Available to You/img/

get-hired-with-the-udacity-career-portal.gif

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/.../Part 02-Module 01-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. 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. 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. 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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10. Quiz Testing in sklearn.html

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index.html

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/.../Part 02-Module 01-Lesson 01_Training and Testing Models/img/

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/.../Part 02-Module 02-Lesson 01_Evaluation Metrics/

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01. Confusion Matrix.html

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02. Confusion Matrix 2.html

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03. Accuracy-s6SfhPTNOHA.en-US.vtt

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03. Accuracy.html

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

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

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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 03-Module 01-Lesson 03_Decision Trees/img/

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/.../Part 03-Module 01-Lesson 04_Naive Bayes/

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02. Guess the Person.html

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08. Bayesian Learning 1.html

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/.../Part 03-Module 01-Lesson 05_Support Vector Machines/

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07. Margin Error.html

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09. Error Function.html

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10. The C Parameter.html

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11. Polynomial Kernel 1.html

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/.../Part 03-Module 01-Lesson 06_Ensemble Methods/

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/.../Part 03-Module 01-Lesson 08_Supervised Learning Project/

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/.../Part 04-Module 02-Lesson 01_Clustering/

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16. Counterintuitive Clusters-aveIz1JYeAg.ar.vtt

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index.html

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/.../Part 04-Module 02-Lesson 01_Clustering/img/

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/.../Part 04-Module 02-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 04-Module 02-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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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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04. Examining single-link clustering.html

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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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06. Hierarchical clustering implementation.html

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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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10. [Quiz] Hierarchical clustering.html

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11. DBSCAN.html

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12. DBSCAN implementation.html

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13. [Lab] DBSCAN.html

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16. [Quiz] DBSCAN.html

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index.html

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/.../Part 04-Module 02-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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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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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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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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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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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.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. 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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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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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. Visual Example of EM Progress.html

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12. Quiz Expectation Maximization.html

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13. GMM Implementation.html

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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.mp4

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15. Cluster Analysis Process.html

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/.../Part 05-Module 01-Lesson 05_Deep Learning for Cancer Detection with Sebastian Thrun/

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10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt

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/.../Part 06-Module 01-Lesson 03_The RL Framework The Solution/

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/.../Part 06-Module 01-Lesson 04_Dynamic Programming/

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/.../Part 06-Module 02-Lesson 05_Teach a Quadcopter How to Fly/

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/.../Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/

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/.../Part 08-Module 03-Lesson 01_Craft Your Cover Letter/

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/.../Part 09-Module 01-Lesson 01_Develop Your Personal Brand/

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/.../Part 09-Module 01-Lesson 02_LinkedIn Review/

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/.../Part 09-Module 01-Lesson 03_Udacity Professional Profile/

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/.../Part 09-Module 02-Lesson 01_GitHub Review/

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/.../Part 10-Module 01-Lesson 01_Ace Your Interview/

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02. Interviewing Conversations-klqXp09Pen4.en.vtt

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03. STAR Method.html

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/.../Part 10-Module 01-Lesson 02_Practice Behavioral Questions/

01. Introduction.html

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04. Time When You Showed Initiative-29mkriaGT0E.en.vtt

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04. Time When You Showed Initiative-29mkriaGT0E.mp4

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05. What Motivates You at the Workplace-Aa9SFwiRbho.en.vtt

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06. A Problem and How You Dealt With It-7IKqdW30GvQ.en.vtt

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07. What Do You Know About the Company-CcTfHemUvbM.en.vtt

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08. Time When You Dealt With Failure-Qb4o_4hCuyg.en.vtt

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/.../Part 10-Module 01-Lesson 02_Practice Behavioral Questions/media/

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/.../Part 10-Module 01-Lesson 03_Interview Fails/

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/.../Part 10-Module 01-Lesson 04_Land a Job Offer/

01. Land a Job Offer-ZQJoT8QL_hw.en.vtt

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/.../Part 10-Module 01-Lesson 05_Interview Practice/

01. Introduction.html

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01. Machine Learning Interview-y0yKRmgDKY4.en.vtt

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02. Mindset and Skills-OvjI0rveWnM.en.vtt

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04. Q1 - Predict Rain-2HY0Yr5FRn0.en.vtt

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05. Q2 - Identify Fish-bXpONCq5ePE.en.vtt

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06. Q3 - Detect Plagiarism-B3w_msqHP68.en.vtt

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07. Q4 - Reduce Data Dimensionality-NzzpasA9GsM.en.vtt

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08. Q5 - Describe Your ML Project-jjdbGD4CBGk.en.vtt

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09. Q6 - Explain How SVMs Work-pMjG1IJRSb8.en.vtt

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10. Arpan's Analysis of the Interview.html

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10. Conclusion-mnQ2n026Y2o.en.vtt

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11. Keep Practicing!.html

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index.html

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/.../Part 10-Module 02-Lesson 01_Introduction and Efficiency/

01. Course Introduction-NKBUbUiedzc.en-US.vtt

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04. Syntax-08M93RaBSgU.en-US.vtt

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05. Python Practice.html

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07. Efficiency-I-RASDPbDrI.en-US.vtt

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08. Notation Intro-xHwIU4j3gBc.en-US.vtt

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10. Worst Case and Approximation-ZYcmui02J40.en-US.vtt

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/.../Part 10-Module 02-Lesson 01_Introduction and Efficiency/img/

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/.../Part 10-Module 02-Lesson 02_List-Based Collections/

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/.../Part 10-Module 02-Lesson 02_List-Based Collections/img/

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/.../Part 10-Module 02-Lesson 03_Searching and Sorting/

01. Binary Search-0VN5iwEyq4c.en-US.vtt

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06. Intro to Sorting-Z6yuIen71zM.en-US.vtt

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/.../Part 10-Module 02-Lesson 04_Maps and Hashing/

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/.../Part 11-Module 03-Lesson 01_Intro to Neural Networks/

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