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- 【影视】 [FreeCoursesOnline.Me] LetsBuildThatApp - Intermediate Training Core Data [LBTA]
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收录时间:2022-04-14
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10. Core Data Migration/32. Custom Manual Migration/32. Custom Manual Migration.mp4 424.7 MB
02. Creating a New Company/05. Sending our Company Back through Delegation/05. Sending our Company Back through Delegation.mp4 410.1 MB
08. Background Threads and Contexts/28. Auto UI Updates NSFetchedResultsController/28. Auto UI Updates NSFetchedResultsController.mp4 349.3 MB
07. UITableView Sections for Employee Types/24. Employee Type Enumeration Grouping/24. Employee Type Enumeration Grouping.mp4 338.9 MB
02. Creating a New Company/04. Dynamic List and Create Company/04. Dynamic List and Create Company.mp4 313.4 MB
10. Core Data Migration/31. Automatic Lightweight Migration/31. Automatic Lightweight Migration.mp4 287.4 MB
03. Core Data Entities/09. Editing Company Entities/09. Editing Company Entities.mp4 270.2 MB
07. UITableView Sections for Employee Types/22. UITableView Sections Filtering/22. UITableView Sections Filtering.mp4 261.1 MB
06. Core Data Relationships/21. Form Validation/21. Form Validation.mp4 258.1 MB
04. Core Data Attribute Types/10. Company Founded Date/10. Company Founded Date.mp4 244.5 MB
04. Core Data Attribute Types/14. Custom Company Cell/14. Custom Company Cell.mp4 239.9 MB
05. Creating List of Employees/18. List Employees and Tuples/18. List Employees and Tuples.mp4 225.8 MB
04. Core Data Attribute Types/11. Photo Selector/11. Photo Selector.mp4 222.0 MB
01. Overview and List Creation/02. Stylizing Our UI/02. Stylizing Our UI.mp4 219.9 MB
09. JSON Decodable Companies/29. JSON Decodable Companies/29. JSON Decodable Companies.mp4 219.1 MB
08. Background Threads and Contexts/26. Background Thread Updates/26. Background Thread Updates.mp4 216.1 MB
03. Core Data Entities/06. Set Up Core Data and Save Company/06. Set Up Core Data and Save Company.mp4 215.4 MB
05. Creating List of Employees/17. Creating our Employee Entity/17. Creating our Employee Entity.mp4 209.2 MB
08. Background Threads and Contexts/27. Nested Parent Child Context Relationship/27. Nested Parent Child Context Relationship.mp4 205.6 MB
05. Creating List of Employees/16. Employees UI and Useful Extensions/16. Employees UI and Useful Extensions.mp4 198.2 MB
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- 【影视】 [FreeTutorials.Us] Udemy - JavaScript Algorithms and Data Structures Masterclass
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收录时间:2018-09-04
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10. Searching Algorithms/10.1 binary_search.js.js 886 Bytes
10. Searching Algorithms/10. Binary Search Solution.mp4 114.9 MB
10. Searching Algorithms/10. Binary Search Solution.srt 25.6 kB
10. Searching Algorithms/10. Binary Search Solution.vtt 21.8 kB
10. Searching Algorithms/11. Binary Search BIG O.mp4 30.8 MB
10. Searching Algorithms/11. Binary Search BIG O.srt 9.7 kB
10. Searching Algorithms/11. Binary Search BIG O.vtt 8.4 kB
10. Searching Algorithms/12. Naive String Search.mp4 16.6 MB
10. Searching Algorithms/12. Naive String Search.srt 8.9 kB
10. Searching Algorithms/12. Naive String Search.vtt 7.6 kB
10. Searching Algorithms/13.1 string_search.js.js 305 Bytes
10. Searching Algorithms/13. Naive String Search Implementation.mp4 80.5 MB
10. Searching Algorithms/13. Naive String Search Implementation.srt 18.5 kB
10. Searching Algorithms/13. Naive String Search Implementation.vtt 15.8 kB
10. Searching Algorithms/14. KNP COMING SOON.html 90 Bytes
10. Searching Algorithms/1. PREREQUISITES.html 220 Bytes
10. Searching Algorithms/2.1 Slides.html 103 Bytes
10. Searching Algorithms/2. Intro to Searching.mp4 34.2 MB
10. Searching Algorithms/2. Intro to Searching.srt 6.7 kB
10. Searching Algorithms/2. Intro to Searching.vtt 5.9 kB
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- 【影视】 [FreeCourseSite.com] Udemy - JavaScript Algorithms and Data Structures Masterclass
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收录时间:2018-09-12
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1. Introduction/1. Curriculum Walkthrough.mp4 153.0 MB
1. Introduction/1. Curriculum Walkthrough.srt 13.4 kB
1. Introduction/1. Curriculum Walkthrough.vtt 11.6 kB
1. Introduction/2. What Order Should You Watch In.mp4 56.0 MB
1. Introduction/2. What Order Should You Watch In.srt 4.7 kB
1. Introduction/2. What Order Should You Watch In.vtt 4.1 kB
1. Introduction/3. How I'm Running My Code.mp4 59.0 MB
1. Introduction/3. How I'm Running My Code.srt 5.7 kB
1. Introduction/3. How I'm Running My Code.vtt 4.9 kB
10. Searching Algorithms/1. PREREQUISITES.html 220 Bytes
10. Searching Algorithms/10. Binary Search Solution.mp4 114.9 MB
10. Searching Algorithms/10. Binary Search Solution.srt 25.6 kB
10. Searching Algorithms/10. Binary Search Solution.vtt 21.8 kB
10. Searching Algorithms/10.1 binary_search.js.js 886 Bytes
10. Searching Algorithms/11. Binary Search BIG O.mp4 30.8 MB
10. Searching Algorithms/11. Binary Search BIG O.srt 9.7 kB
10. Searching Algorithms/11. Binary Search BIG O.vtt 8.4 kB
10. Searching Algorithms/12. Naive String Search.mp4 16.6 MB
10. Searching Algorithms/12. Naive String Search.srt 8.9 kB
10. Searching Algorithms/12. Naive String Search.vtt 7.6 kB
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- 【影视】 [UdemyCourseDownloader] JavaScript Algorithms and Data Structures Masterclass
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收录时间:2018-11-10
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28. Dijkstra's Algorithm!/8. Implementing Dijkstra's Algorithm.mp4 203.3 MB
udemycoursedownloader.com.url 132 Bytes
1. Introduction/1. Curriculum Walkthrough.mp4 153.0 MB
1. Introduction/1. Curriculum Walkthrough.srt 13.4 kB
1. Introduction/1. Curriculum Walkthrough.vtt 11.6 kB
1. Introduction/2. What Order Should You Watch In.mp4 56.0 MB
1. Introduction/2. What Order Should You Watch In.srt 4.7 kB
1. Introduction/2. What Order Should You Watch In.vtt 4.1 kB
1. Introduction/3. How I'm Running My Code.mp4 59.0 MB
1. Introduction/3. How I'm Running My Code.srt 5.7 kB
1. Introduction/3. How I'm Running My Code.vtt 4.9 kB
2. Big O Notation/1. Intro to Big O.mp4 31.9 MB
2. Big O Notation/1. Intro to Big O.srt 12.6 kB
2. Big O Notation/1. Intro to Big O.vtt 11.1 kB
2. Big O Notation/1.1 BIG O Slides.html 109 Bytes
2. Big O Notation/2. Timing Our Code.mp4 48.7 MB
2. Big O Notation/2. Timing Our Code.srt 16.8 kB
2. Big O Notation/2. Timing Our Code.vtt 14.5 kB
2. Big O Notation/2.1 add_up_to_slower.js.js 245 Bytes
2. Big O Notation/2.2 add_up_to_faster.js.js 197 Bytes
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- 【影视】 Criacao.de.Dashboards.com.Google.Data.Studio
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收录时间:2023-12-17
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Seção 10 - Construção de Relatório Completo/65. Design & Compartilhamento.mp4 712.0 MB
Seção 10 - Construção de Relatório Completo/62. Página 1 Criando Gráficos.mp4 410.3 MB
Seção 8 - Recursos Avançados/57. 8.3 Criação de Campos Calculados.mp4 343.2 MB
Seção 10 - Construção de Relatório Completo/64. Adicionando Controles.mp4 312.6 MB
Seção 10 - Construção de Relatório Completo/63. Página 2 Criando Gráficos.mp4 308.8 MB
Seção 6 - Tipos de gráficos/30. 6.3 Gráfico de série temporal.mp4 251.3 MB
Seção 8 - Recursos Avançados/58. 8.4 Criação de Parâmetros.mp4 233.7 MB
Seção 6 - Tipos de gráficos/24. 6.1.1 Tabela.mp4 229.6 MB
Seção 10 - Construção de Relatório Completo/61. Adicionando e editando dados.mp4 228.2 MB
Seção 7 - Design/45. Página.mp4 215.2 MB
Seção 6 - Tipos de gráficos/36. 6.6.1 Mapa de balão & preenchido.mp4 188.2 MB
Seção 6 - Tipos de gráficos/31. 6.4.1 Gráfico de colunas.mp4 187.9 MB
Seção 4 - Google Big Query/16. Visão Geral.mp4 155.9 MB
Seção 7 - Design/46. Organização de gráficos e elementos.mp4 155.4 MB
Seção 8 - Recursos Avançados/48. 8.1 Combinação de Dados.mp4 148.1 MB
Seção 6 - Tipos de gráficos/35. 6.5 Gráfico de pizza & rosca.mp4 147.0 MB
Seção 3 - Google Data Studio/13. Visão Geral.mp4 130.2 MB
Seção 4 - Google Big Query/17. Criando gráfico através de consulta SQL.mp4 128.0 MB
Seção 8 - Recursos Avançados/54. 8.2.6 Controle Caixa de seleção.mp4 124.0 MB
Seção 6 - Tipos de gráficos/41. 6.10 Gráfico de dispersão & de bolhas.mp4 121.8 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
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收录时间:2018-10-24
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01 Welcome to the course/001 Applications of Machine Learning-en.srt 5.4 kB
01 Welcome to the course/001 Applications of Machine Learning-es.srt 5.7 kB
01 Welcome to the course/001 Applications of Machine Learning-it.srt 5.8 kB
01 Welcome to the course/001 Applications of Machine Learning-ja.srt 6.7 kB
01 Welcome to the course/001 Applications of Machine Learning-pt.srt 5.9 kB
01 Welcome to the course/001 Applications of Machine Learning-tr.srt 5.6 kB
01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
01 Welcome to the course/002 Why Machine Learning is the Future-en.srt 9.5 kB
01 Welcome to the course/002 Why Machine Learning is the Future-es.srt 9.9 kB
01 Welcome to the course/002 Why Machine Learning is the Future-it.srt 9.9 kB
01 Welcome to the course/002 Why Machine Learning is the Future-ja.srt 11.0 kB
01 Welcome to the course/002 Why Machine Learning is the Future-pt.srt 10.0 kB
01 Welcome to the course/002 Why Machine Learning is the Future-tr.srt 9.5 kB
01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
01 Welcome to the course/003 Important notes tips tricks for this course.html 4.3 kB
01 Welcome to the course/004 Machine-Learning-A-Z-Q-A.pdf 2.4 MB
01 Welcome to the course/004 This PDF resource will help you a lot.html 2.4 kB
01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-en.srt 12.1 kB
01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-es.srt 12.5 kB
01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-it.srt 12.3 kB
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- 【影视】 [UdemyCourseDownloader] Machine Learning A-Z™ Hands-On Python & R In Data Science
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12 Logistic Regression/096 Logistic Regression in R - Step 5.mp4 98.3 MB
31 Artificial Neural Networks/225 ANN in Python - Step 2.mp4 89.0 MB
17 Decision Tree Classification/123 Decision Tree Classification in R.mp4 71.5 MB
14 Support Vector Machine (SVM)/105 SVM in R.mp4 68.5 MB
18 Random Forest Classification/127 Random Forest Classification in R.mp4 67.2 MB
32 Convolutional Neural Networks/256 CNN in Python - Step 9.mp4 65.4 MB
18 Random Forest Classification/126 Random Forest Classification in Python.mp4 65.1 MB
07 Support Vector Regression (SVR)/068 SVR in Python.mp4 63.1 MB
05 Multiple Linear Regression/045 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4 62.0 MB
27 Upper Confidence Bound (UCB)/178 Upper Confidence Bound in R - Step 3.mp4 60.6 MB
36 Kernel PCA/274 Kernel PCA in R.mp4 59.3 MB
24 Apriori/161 Apriori in R - Step 3.mp4 59.3 MB
08 Decision Tree Regression/073 Decision Tree Regression in R.mp4 59.0 MB
13 K-Nearest Neighbors (K-NN)/101 K-NN in R.mp4 58.5 MB
28 Thompson Sampling/183 Thompson Sampling in Python - Step 1.mp4 58.2 MB
15 Kernel SVM/111 Kernel SVM in Python.mp4 57.5 MB
06 Polynomial Regression/063 Polynomial Regression in R - Step 3.mp4 57.5 MB
06 Polynomial Regression/058 Polynomial Regression in Python - Step 3.mp4 57.1 MB
05 Multiple Linear Regression/046 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 56.9 MB
29 -------------------- Part 7 Natural Language Processing --------------------/210 Natural Language Processing in R - Step 10.mp4 56.8 MB
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- 【影视】 [FreeAllCourse.Com] Udemy - R Programming A-Z™ R For Data Science With Real Exercises!
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7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
4. Matrices/12. Basketball Insights.mp4 180.7 MB
4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
5. Data Frames/10. Building Dataframes.mp4 154.6 MB
6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
4. Matrices/9. Subsetting.mp4 142.3 MB
5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
4. Matrices/11. Creating Your First Function.mp4 130.6 MB
3. Fundamentals Of R/6. The power of vectorized operations.mp4 128.8 MB
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7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
4. Matrices/12. Basketball Insights.mp4 180.7 MB
4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
5. Data Frames/10. Building Dataframes.mp4 154.6 MB
6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
4. Matrices/9. Subsetting.mp4 142.3 MB
5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
4. Matrices/11. Creating Your First Function.mp4 130.6 MB
3. Fundamentals Of R/6. The power of vectorized operations.mp4 128.8 MB
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7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
4. Matrices/12. Basketball Insights.mp4 180.7 MB
4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
5. Data Frames/10. Building Dataframes.mp4 154.6 MB
6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
4. Matrices/9. Subsetting.mp4 142.3 MB
5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
4. Matrices/11. Creating Your First Function.mp4 130.6 MB
3. Fundamentals Of R/6. The power of vectorized operations.mp4 128.8 MB
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- 【影视】 Monster.Energy.NASCAR.Cup.Series.2019.R33.First.Data.500.Матч!Арена.720P.Rus.mkv
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DC Course 1 videos/sess 11/11.3 Cisco UCS Manager - Designing Cisco Data Center Infrastructure.mp4 176.8 MB
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DC Course 1 videos/sess 22/22.3 Organizations in Cisco UCS Manager - Designing Cisco Data Center Infrastructure.mp4 137.3 MB
DC Course 1 videos/sess 1/1.4.2 Cisco FabricPath - Designing Cisco Data Center Infrastructure.mp4 131.0 MB
DC Course 1 videos/sess 15/15.3 FCoE Communication - Designing Cisco Data Center Infrastructure.mp4 127.6 MB
DC Course 1 videos/sess 3/1.4 Video Playlist - Designing Cisco Data Center Infrastructure_4.mp4 109.5 MB
DC Course 1 videos/sess 8/8.4 Cisco FEX Topologies - Designing Cisco Data Center Infrastructure.mp4 107.0 MB
DC Course 1 videos/sess 1/1.2 Overview of Layer 2 High-Availability Mechanisms - Designing Cisco Data Center Infrastructure.mp4 104.5 MB
DC Course 1 videos/sess 13/13.3.1 Fibre Channel Communication - Designing Cisco Data Center Infrastructure.mp4 101.0 MB
DC Course 1 videos/sess 21/21.3 Cisco UCS Traffic Management - Designing Cisco Data Center Infrastructure.mp4 100.3 MB
DC Course 1 videos/sess 14/14.2 SAN Parameterization - Designing Cisco Data Center Infrastructure.mp4 100.2 MB
DC Course 1 videos/sess 13/13.3.2 Fibre Channel Communication - Designing Cisco Data Center Infrastructure_2.mp4 97.3 MB
DC Course 1 videos/sess 1/1.3 Virtual Port Channels - Designing Cisco Data Center Infrastructure.mp4 95.2 MB
DC Course 1 videos/sess 13/13.4 Virtualization in Fibre Channel SAN - Designing Cisco Data Center Infrastructure.mp4 92.1 MB
DC Course 1 videos/sess 15/15.6 FCoE Design Options - Designing Cisco Data Center Infrastructure.mp4 90.1 MB
DC Course 1 videos/sess 15/15.2 FCoE Protocol Characteristics - Designing Cisco Data Center Infrastructure.mp4 88.6 MB
DC Course 1 videos/sess 1/1.4.1 Cisco FabricPath - Designing Cisco Data Center Infrastructure.mp4 88.1 MB
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- 【影视】 DS4B 101-P Python for Data Science Automation
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[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson328.mp4 59.8 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson262.mp4 58.3 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson239.mp4 55.6 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson295.mp4 53.2 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson64.mp4 53.1 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson61.mp4 51.8 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson194.mp4 51.6 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson166.mp4 51.5 MB
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[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson327.mp4 50.1 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson63.mp4 50.0 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson62.mp4 47.7 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson230.mp4 47.3 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson331.mp4 45.8 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson145.mp4 43.3 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson57.mp4 43.2 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson231.mp4 42.9 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson346.mp4 42.8 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson41.mp4 42.1 MB
[TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson85.mp4 41.9 MB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/12. Normalization.mp4 195.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB
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磁力链接
06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
03 Data Preprocessing/012 Normalization.mp4 195.9 MB
05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
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文档个数:88
文档大小:7.2 GB
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磁力链接
06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
03 Data Preprocessing/012 Normalization.mp4 195.9 MB
05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
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磁力链接
06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
03 Data Preprocessing/012 Normalization.mp4 195.9 MB
05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
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磁力链接
9. Data Ingestion using Lambda Functions/26. Deploying lambda function.mp4 103.2 MB
17. Streaming Pipeline using Kinesis/9. Start and Validate Agent.mp4 103.2 MB
5. Storage - All about AWS s3 (Simple Storage Service)/17. Managing Objects in S3 using CLI - Lab.mp4 102.2 MB
13. Deep Dive into Glue Catalog/17. Managing Glue Catalog using Python Boto3.mp4 96.3 MB
17. Streaming Pipeline using Kinesis/2. Rotating Logs.mp4 90.7 MB
7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/5. Launch EC2 Instance.mp4 80.7 MB
14. Exploring Glue Job APIs/5. Running baseline Glue Job.mp4 79.8 MB
11. Overview of Glue Components/9. Create and Run the Glue Job.mp4 76.7 MB
19. Populating GitHub Data to Dynamodb/7. Processing Data.mp4 71.8 MB
6. User Level Security - Managing Users, Roles and Policies using IAM/13. Overview of Custom Policies.mp4 71.4 MB
9. Data Ingestion using Lambda Functions/19. Validating files incrementally.mp4 70.6 MB
18. Consuming Data from s3 using boto3/6. Read Content from s3 object.mp4 69.9 MB
6. User Level Security - Managing Users, Roles and Policies using IAM/11. Managing IAM Roles.mp4 69.7 MB
8. Infrastructure - AWS EC2 Advanced/7. Using Bootstrapping Scripts.mp4 69.3 MB
6. User Level Security - Managing Users, Roles and Policies using IAM/7. IAM Identity-based Policies.mp4 68.2 MB
9. Data Ingestion using Lambda Functions/13. Develop upload functionality to s3.mp4 66.8 MB
10. Development Lifecycle for Pyspark/8. Read data from files.mp4 66.7 MB
7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/17. Managing EC2 Using AWS CLI.mp4 66.5 MB
5. Storage - All about AWS s3 (Simple Storage Service)/9. Cross-Region Replication.mp4 66.5 MB
9. Data Ingestion using Lambda Functions/11. Validating s3 access for local development.mp4 66.4 MB
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[TutsNode.com] - Statistics for Data Analysis Using Python/4. Pandas Package/10. DataFrame - Dealing with Rows.mp4 162.3 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4 134.1 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4 133.4 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4 113.3 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4 109.3 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4 107.5 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4 107.2 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.mp4 105.4 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.mp4 104.9 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.mp4 101.2 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.mp4 101.1 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.mp4 100.6 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.mp4 99.6 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.mp4 98.0 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.mp4 95.0 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.mp4 94.7 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.mp4 94.0 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.mp4 93.3 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.mp4 93.2 MB
[TutsNode.com] - Statistics for Data Analysis Using Python/8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.mp4 92.6 MB
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