Udacity - AI Programming with Python Nanodegree nd089 v1.0.0

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Udacity - AI Programming with Python Nanodegree nd089 v1.0.0

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种子哈希：22c596cdd2d199da2e53afd0e81242f0e0f3f512
文件大小： 1.96G
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收录时间：2021-03-18
最近下载：2025-09-28

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文件列表

  • Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
  • Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
  • Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
  • Part 10-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4 28.1 MB
  • Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 26.1 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4 24.9 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 22.7 MB
  • Part 10-Module 01-Lesson 05_Naive Bayes/02. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4 22.1 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.mp4 22.0 MB
  • Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/09. Linear Transformations 1-99jYIxBRDww.mp4 21.8 MB
  • Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/11. Linear Transformations 3-g_yTyRwMzXU.mp4 21.1 MB
  • Part 02-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4 20.9 MB
  • Part 02-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.mp4 19.9 MB
  • Part 10-Module 01-Lesson 06_Support Vector Machines/07. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.mp4 19.5 MB
  • Part 02-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.mp4 19.3 MB
  • Part 02-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.mp4 19.2 MB
  • Part 02-Module 01-Lesson 03_Control Flow/31. List Comprehensions-6qxo-NV9v_s.mp4 18.2 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.mp4 18.1 MB
  • Part 02-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.mp4 17.8 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.mp4 17.6 MB
  • Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 16.7 MB
  • Part 02-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.mp4 16.7 MB
  • Part 02-Module 01-Lesson 03_Control Flow/28. Zip and Enumerate-bSJPzVArE7M.mp4 16.5 MB
  • Part 02-Module 01-Lesson 04_Functions/02. Defining Functions-IP_tJYhynbc.mp4 16.2 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/08. Números inteiros e floats-MiJ1vfWp-Ts.mp4 16.2 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.mp4 16.1 MB
  • Part 02-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.mp4 15.8 MB
  • Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 15.3 MB
  • Part 03-Module 01-Lesson 03_NumPy/05. NumPy 2 V1-KR3hHf9Zxxg.mp4 14.9 MB
  • Part 04-Module 01-Lesson 03_Linear Combination/02. Linear Combinations 2-RsKJNDTb8nw.mp4 14.9 MB
  • Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 14.5 MB
  • Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/10. Linear Transformations 2-imtEd8M6__s.mp4 14.1 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.mp4 14.0 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.mp4 13.9 MB
  • Part 02-Module 01-Lesson 03_Control Flow/25. Break and Continue-F6qJAv9ts9Y.mp4 13.9 MB
  • Part 02-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.mp4 13.4 MB
  • Part 08-Module 01-Lesson 03_Review a Repo's History/01. A Repository's History - Intro-UBmg3syQS0E.mp4 12.9 MB
  • Part 02-Module 01-Lesson 05_Scripting/20. Importing Files-qjeSn6zZbR0.mp4 12.0 MB
  • Part 05-Module 01-Lesson 02_Implementing Gradient Descent/03. Gradient Descent-Math-7sxA5Ap8AWM.mp4 11.8 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.mp4 11.6 MB
  • Part 02-Module 01-Lesson 03_Control Flow/20. L3 08 While Loops V3-7Sf5tcPlKQw.mp4 11.4 MB
  • Part 02-Module 01-Lesson 05_Scripting/17. Reading And Writing Files-w-ZG6DMkVi4.mp4 11.3 MB
  • Part 09-Module 01-Lesson 01_Shell Workshop/01. Shell Intro--EtN5oD8MM0.mp4 11.3 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.mp4 11.2 MB
  • Part 02-Module 01-Lesson 05_Scripting/21. The Standard Library-Fw3vf0tDrJM.mp4 11.1 MB
  • Part 08-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.mp4 10.8 MB
  • Part 03-Module 01-Lesson 01_Anaconda/02. Why Anaconda-VXukXZv7SCQ.mp4 10.8 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/05. Assignment Operators-p_qfzL-x3Cs.mp4 10.6 MB
  • Part 03-Module 01-Lesson 03_NumPy/08. NumPy 4 V1-jeU7lLgyMms.mp4 10.3 MB
  • Part 10-Module 01-Lesson 08_Outro/01. Conclusion-hJEuaOUu2yA.mp4 10.2 MB
  • Part 07-Module 01-Lesson 01_How Do I Continue From Here/01. Next Steps Into The AI World Outro-40CCUu30w8c.mp4 10.2 MB
  • Part 10-Module 01-Lesson 06_Support Vector Machines/05. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.mp4 10.2 MB
  • Part 11-Module 01-Lesson 01_Visualizing The Importance Of The Learning Rate/01. 学习率简介-HLMjeDez7ps.mp4 10.1 MB
  • Part 01-Module 01-Lesson 01_Welcome to AI Programming with Python/01. AIPND Intro FINAL-CeXA-uzNFp4.mp4 10.1 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.mp4 9.9 MB
  • Part 10-Module 01-Lesson 06_Support Vector Machines/09. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.mp4 9.7 MB
  • Part 02-Module 02-Lesson 01_Lab Classifying Images/16. AIPND Python Lab - Printing Results Solutions Video-XRnoQry3ubU.mp4 9.7 MB
  • Part 02-Module 01-Lesson 04_Functions/05. Variable Scope-rYubQlAM-gw.mp4 9.5 MB
  • Part 08-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 01 Welcome-lbR82UD5F0c.mp4 9.3 MB
  • Part 02-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.mp4 9.3 MB
  • Part 02-Module 02-Lesson 01_Lab Classifying Images/13. AIPND Python Lab - Classify Images Solutions Video-sBbY6HmJG9M.mp4 9.2 MB
  • Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/03. Dolly Inside Head 1 -tyam5ZncjNw.mp4 9.1 MB
  • Part 04-Module 01-Lesson 01_Introduction/03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.mp4 9.0 MB
  • Part 03-Module 01-Lesson 03_NumPy/07. NumPy 3 V1-Rt4aydeo9F8.mp4 8.9 MB
  • Part 10-Module 01-Lesson 05_Naive Bayes/01. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4 8.9 MB
  • Part 02-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.mp4 8.8 MB
  • Part 02-Module 02-Lesson 01_Lab Classifying Images/09. AIPND Python Lab - Mutable Data Types and Functions Video-LIOmuZdLymw.mp4 8.8 MB
  • Part 08-Module 02-Lesson 01_Working With Remotes/01. Intro-SBUOhyXcR1Q.mp4 8.7 MB
  • Part 04-Module 01-Lesson 03_Linear Combination/01. Linear Combinations 1-fmal7UE7dEE.mp4 8.7 MB
  • Part 02-Module 02-Lesson 01_Lab Classifying Images/14. AIPND Python Lab - Solutions Video-Jfsbtm6yPXY.mp4 8.6 MB
  • Part 02-Module 02-Lesson 01_Lab Classifying Images/04. AIPND Python Lab - Workspace How-to Video-EQTttywUnXQ.mp4 8.6 MB
  • Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Action-cL6ehKtJLUM.mp4 8.6 MB
  • Part 03-Module 01-Lesson 04_Pandas/12. Pandas 7 V1-ruTYp-twXO0.mp4 8.5 MB
  • Part 02-Module 01-Lesson 04_Functions/11. L4 08 Lambda Expressions V3-wkEmPz1peJM.mp4 8.4 MB
  • Part 01-Module 01-Lesson 01_Welcome to AI Programming with Python/02. AIPND Instructors FINAL V5-h0_y3eb_3m4.mp4 8.3 MB
  • Part 03-Module 01-Lesson 04_Pandas/10. Pandas 6 V1-GS1kj04XQcM.mp4 8.3 MB
  • Part 03-Module 01-Lesson 04_Pandas/09. Pandas 5 V1-lClsJnZn_7w.mp4 8.2 MB
  • Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-resolve-merge-conflict.gif 8.1 MB
  • Part 02-Module 01-Lesson 03_Control Flow/02. Indentation-G8qUNOTHtrM.mp4 8.0 MB
  • Part 08-Module 02-Lesson 02_Working On Another Developer's Repository/02. L2 - Pushing To A Fork-WRgNpr19t48.mp4 8.0 MB
  • Part 05-Module 01-Lesson 03_Training Neural Networks/07. Regularization-ndYnUrx8xvs.mp4 7.9 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction-tn-CrUTkCUc.mp4 7.9 MB
  • Part 03-Module 01-Lesson 03_NumPy/04. NumPy 1 V1-EOHW29kDg7w.mp4 7.9 MB
  • Part 08-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.mp4 7.8 MB
  • Part 02-Module 02-Lesson 01_Lab Classifying Images/15. AIPND Python Lab - Calculate Results Solutions Video-b8dsDty8HDc.mp4 7.8 MB
  • Part 02-Module 01-Lesson 05_Scripting/06. Programming Environment Setup-EKxDnCK0NAk.mp4 7.8 MB
  • Part 02-Module 01-Lesson 05_Scripting/26. Third Party Libraries And Package Managers-epOze9gC6T4.mp4 7.7 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/14. Error Functions-jfKShxGAbok.mp4 7.6 MB
  • Part 03-Module 01-Lesson 02_Jupyter Notebooks/02. Jupyter-qiYDWFLyXvg.mp4 7.5 MB
  • Part 10-Module 01-Lesson 06_Support Vector Machines/04. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.mp4 7.4 MB
  • Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/04. DataVis L3 03 V2-srRhFrSPdvs.mp4 7.3 MB
  • Part 03-Module 01-Lesson 04_Pandas/08. Pandas 4 V1-eMHUn9v9dds.mp4 7.3 MB
  • Part 08-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.mp4 7.1 MB
  • Part 10-Module 01-Lesson 01_Intro/01. Introduction-bYeteZQrUcE.mp4 7.1 MB
  • Part 02-Module 01-Lesson 05_Scripting/02. Python Installation-2_P05aYChqQ.mp4 7.0 MB
  • Part 03-Module 01-Lesson 03_NumPy/11. NumPy 6 V1-wtLRuGK0kW4.mp4 6.9 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/21. CrossEntropy V1-1BnhC6e0TFw.mp4 6.9 MB
  • Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.mp4 6.9 MB
  • Part 04-Module 02-Lesson 02_Linear Combination Lab/02. AIPND Linear Algebra Linear Combination Solution v2-eMYcAqnR8N4.mp4 6.9 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/34. Backpropagation V2-1SmY3TZTyUk.mp4 6.8 MB
  • Part 05-Module 01-Lesson 03_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.7 MB
  • Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/04. L3 031 Bar Charts V3-ybXcduB6cXA.mp4 6.7 MB
  • Part 10-Module 01-Lesson 04_Decision Trees/03. Recommending Apps-nEvW8B1HNq4.mp4 6.6 MB
  • Part 08-Module 01-Lesson 06_Undoing Changes/01. Undoing Changes - Intro-Kfi7l41wUVc.mp4 6.6 MB
  • Part 04-Module 01-Lesson 02_Vectors/03. Vectors 3-mWV_MpEjz9c.mp4 6.6 MB
  • Part 08-Module 01-Lesson 03_Review a Repo's History/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.mp4 6.5 MB
  • Part 10-Module 01-Lesson 05_Naive Bayes/03. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4 6.4 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/22. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.mp4 6.4 MB
  • Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/08. L3 071 Pie Charts V3-kSrJGJHTKV8.mp4 6.3 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/29. L2 03 Sets V2-eIHNFgTFfnA.mp4 6.2 MB
  • Part 02-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Part II-1GRv1S6K8gQ.mp4 6.2 MB
  • Part 02-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.mp4 6.2 MB
  • Part 10-Module 01-Lesson 06_Support Vector Machines/03. SVM 03 Error Function V1-l-ahImxoi-U.mp4 6.2 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 1-1yJx-QtlvNI.mp4 6.0 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 6.0 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/22. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.mp4 5.9 MB
  • Part 02-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.mp4 5.9 MB
  • Part 02-Module 01-Lesson 05_Scripting/27. Experimenting With An Interpreter-hspPtnQwMPg.mp4 5.9 MB
  • Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/07. LinearAlgebra 07 FeedForward PAIND85 V3-pvF6jpS_-cU.mp4 5.8 MB
  • Part 10-Module 01-Lesson 04_Decision Trees/05. Student Admissions-TdgBi6LtOB8.mp4 5.7 MB
  • Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/15. L4 151 Lesson Summary V1-5igqM44KEmw.mp4 5.6 MB
  • Part 02-Module 02-Lesson 01_Lab Classifying Images/11. AIPND Python Lab - Check Images Solutions Video-2jaZfP7otSs.mp4 5.6 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4 5.6 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.6 MB
  • Part 02-Module 01-Lesson 05_Scripting/24. Techniques For Importing Modules-jPGyFgcIvsM.mp4 5.6 MB
  • Part 08-Module 02-Lesson 02_Working On Another Developer's Repository/02. Forking a Repository - What Is Forking-z4mkVwqVztc.mp4 5.5 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/25. L2 05 Lists Methods V1-WXkPm4rv6ng.mp4 5.5 MB
  • Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.mp4 5.5 MB
  • Part 02-Module 01-Lesson 05_Scripting/08. Scripting With Raw Input-Fs9uLV2qfgI.mp4 5.5 MB
  • Part 02-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.mp4 5.5 MB
  • Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/09. DataVis L3 08 V2-f1we_0dUSXg.mp4 5.4 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4 5.4 MB
  • Part 03-Module 01-Lesson 03_NumPy/09. NumPy 5 V1-vGjI-WTnEbY.mp4 5.3 MB
  • Part 10-Module 01-Lesson 06_Support Vector Machines/08. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.mp4 5.3 MB
  • Part 08-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.mp4 5.3 MB
  • Part 02-Module 01-Lesson 05_Scripting/24. Techniques For Importing Modules Part II-aASigWQ_XU0.mp4 5.2 MB
  • Part 08-Module 01-Lesson 04_Add Commits To A Repo/07. Outro-5eyvsMvAPYs.mp4 5.2 MB
  • Part 05-Module 01-Lesson 03_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.mp4 5.1 MB
  • Part 02-Module 02-Lesson 01_Lab Classifying Images/08. AIPND Python Lab - Command Line Arguments Solutions Video-tuBIyuPrXFY.mp4 5.1 MB
  • Part 04-Module 01-Lesson 02_Vectors/01. Vectors 1-oPBz-MLVUHk.mp4 5.1 MB
  • Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/14. L3 121 Scales And Transformations V3-PE53ga2bOME.mp4 5.1 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/23. Error Function-V5kkHldUlVU.mp4 5.1 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/22. L2 07 Lists And Membership Operators II V3-3Nj-b-ZzqH8.mp4 5.1 MB
  • Part 10-Module 01-Lesson 04_Decision Trees/01. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.mp4 5.0 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/32. Combinando modelos-Boy3zHVrWB4.mp4 5.0 MB
  • Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. L4 031 Overplotting Transparency And Jitter 1 V4-BGqR-nxgMtg.mp4 4.9 MB
  • Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. L4 111 Faceting V2-oUYRqI6wFGw.mp4 4.9 MB
  • Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/13. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.mp4 4.8 MB
  • Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/06. Linear Algebra 06 FeedForward A V7 PAIND83 V1-kQ6rNndcA1I.mp4 4.8 MB
  • Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Action-d3AGtKmHxUk.mp4 4.8 MB
  • Part 02-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.mp4 4.7 MB
  • Part 09-Module 01-Lesson 01_Shell Workshop/02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.mp4 4.6 MB
  • Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing Introduction-mRbeT2XVL9w.mp4 4.6 MB
  • Part 08-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.mp4 4.6 MB
  • Part 08-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.mp4 4.6 MB
  • Part 03-Module 01-Lesson 03_NumPy/03. NumPy 0 V1-vyjMs8KFHlE.mp4 4.6 MB
  • Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/05. DataVis L3 04 V2-HLum_ys7RJ0.mp4 4.5 MB
  • Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. L4 041 Heat Maps V4-RyCdvsmBjtE.mp4 4.5 MB
  • Part 02-Module 01-Lesson 05_Scripting/13. Handling Errors Try Except Finally-S6hwBZG0KwM.mp4 4.4 MB
  • Part 02-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.mp4 4.4 MB
  • Part 08-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.mp4 4.4 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/20. Cross Entropy 1-iREoPUrpXvE.mp4 4.4 MB
  • Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.mp4 4.4 MB
  • Part 05-Module 01-Lesson 03_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.mp4 4.4 MB
  • Part 02-Module 01-Lesson 02_Data Types and Operators/35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.mp4 4.4 MB
  • Part 10-Module 01-Lesson 04_Decision Trees/02. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.mp4 4.4 MB
  • Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. L4 121 Adaptations Of Univariate Plots V3-MXcqplnUB0o.mp4 4.4 MB
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  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4 4.3 MB
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  • Part 02-Module 01-Lesson 01_Why Python Programming/03. L1 03 Programming In Python V4-O1cTNYAjeeg.mp4 4.2 MB
  • Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. L4 071 Box Plots V4-3gxJag12T0g.mp4 4.2 MB
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  • Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. L4 131 Line Plots V1-kSntEWPuOa0.mp4 4.0 MB
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  • Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. Data Vis L4 C06 V2-f8Kh4PByiEA.mp4 3.2 MB
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  • Part 10-Module 01-Lesson 06_Support Vector Machines/02. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.mp4 3.1 MB
  • Part 04-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Plotting a Transformed Vector v3-lmF-V8emukA.mp4 3.0 MB
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  • Part 04-Module 02-Lesson 01_Vectors Lab/02. AIPND Linear Algebra Vectors Lab Solution2 v1-UJGRYNl2ZFo.mp4 2.8 MB
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  • Part 02-Module 02-Lesson 01_Lab Classifying Images/03. AIPND Python Lab - Lab Instructions Video-Pv4yi_OJtuU.mp4 2.7 MB
  • Part 04-Module 01-Lesson 02_Vectors/02. Vectors 2-R7WiQYixvRQ.mp4 2.6 MB
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  • Part 05-Module 01-Lesson 02_Implementing Gradient Descent/02. Gradient Descent-29PmNG7fuuM.mp4 2.6 MB
  • Part 04-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Matrix Multiplication v2-TavNlmrIuwI.mp4 2.6 MB
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  • Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/05. L3 041 Absolute V Relative Frequency V5-FpnZ7dH4FqU.mp4 2.5 MB
  • Part 10-Module 01-Lesson 07_Ensemble Methods/02. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.mp4 2.5 MB
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  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.mp4 2.4 MB
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  • Part 10-Module 01-Lesson 07_Ensemble Methods/03. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.mp4 2.3 MB
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  • Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. Data Vis L4 C12 V2-aJncRqqJUYI.mp4 2.2 MB
  • Part 08-Module 01-Lesson 06_Undoing Changes/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.mp4 2.2 MB
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  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.mp4 2.2 MB
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  • Part 02-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Using With-OQ-Y0mMjm00.mp4 2.0 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/32. Multiclass Classification-uNTtvxwfox0.mp4 2.0 MB
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  • Part 08-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.mp4 1.9 MB
  • Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. Data Vis L4 C07 V1-f6v3L3IDo24.mp4 1.9 MB
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  • Part 05-Module 01-Lesson 03_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.mp4 1.8 MB
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  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding-AePvjhyvsBo.mp4 1.7 MB
  • Part 10-Module 01-Lesson 03_Logistic Regression/02. Classification Example-46PywnGa_cQ.mp4 1.7 MB
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  • Part 02-Module 02-Lesson 01_Lab Classifying Images/02. AIPND Python Lab - Introduction Video-T_cjVqDULQI.mp4 1.6 MB
  • Part 10-Module 01-Lesson 06_Support Vector Machines/01. SVM 01 Which Line Is Better V1-NCml_NCvd1I.mp4 1.6 MB
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  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/12. Non-Linear Regions-B8UrWnHh1Wc.mp4 1.4 MB
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  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons-07-JJ-aGEfM.mp4 1.2 MB
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  • Part 10-Module 01-Lesson 02_Linear Regression/02. Solution Housing Prices-uhdTulw9-Nc.mp4 1.0 MB
  • Part 05-Module 01-Lesson 01_Introduction to Neural Networks/08. Why Neural Networks-zAkzOZntK6Y.mp4 1.0 MB
  • Part 08-Module 01-Lesson 02_Create A Git Repo/img/ud123-l2-course-git-blog-project-in-browser.png 991.8 kB
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  • Part 04-Module 01-Lesson 01_Introduction/img/grant.png 583.6 kB
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  • Part 02-Module 01-Lesson 01_Why Python Programming/img/screen-shot-2018-03-19-at-2.30.59-pm.png 519.6 kB
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  • Part 10-Module 01-Lesson 05_Naive Bayes/img/spamham.png 138.3 kB
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  • Part 05-Module 01-Lesson 02_Implementing Gradient Descent/img/admissions-data.png 121.2 kB
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