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306.1 MB |
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14.6 MB |
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7.8 MB |
/03. Datasets in Depth/07 - Challenge Implement ioredis.en.srt |
9.4 KB |
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6.4 KB |
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Machine Learning, Data Science and Deep Learning with Python |
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8.5 GB |
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/4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4 |
93.4 MB |
/4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.srt |
17.8 KB |
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7.1 GB |
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/5. Security Aspect/12. Real World example on DOS Implementation.mp4 |
102.5 MB |
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9.0 KB |
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13.7 GB |
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/Day 4/Day 4 - Implementation Day - Spaced Repetition Concept.MP3 |
9.3 MB |
/Day 4/Day 4 - Implementation Day - Spaced Repetition Concept.mp4 |
164.5 MB |
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11.9 MB |
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211.5 MB |
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14.1 MB |
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Udemy - Spring & Hibernate for Beginners (includes Spring Boot |
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18.0 GB |
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87.3 MB |
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6.9 KB |
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103.2 MB |
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9.5 KB |
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80.9 MB |
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17.7 GB |
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69.3 MB |
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139.8 MB |
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112.0 MB |
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70.8 MB |
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376.8 MB |
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/02-Manage_Modern_Messaging_Infrastructure/009-Implement_and_perform_backups-en.srt |
5.2 KB |
/02-Manage_Modern_Messaging_Infrastructure/009-Implement_and_perform_backups.mp4 |
7.7 MB |
/03-Manage_Mail_Flow_Topology/008-Implement_a_multisite_mail_flow-en.srt |
6.3 KB |
/03-Manage_Mail_Flow_Topology/008-Implement_a_multisite_mail_flow.mp4 |
6.8 MB |
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7.7 GB |
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32.7 MB |
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[FreeCourseSite.com] Udemy - Spring Framework 5 Creando webapp de cero a experto (2019) |
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18.8 GB |
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122.9 MB |
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8.5 KB |
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132.6 MB |
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9.9 KB |
/16. View Technologies Convertir a Documento XML/5. Implementando Link en vista listar clientes.mp4 |
67.0 MB |
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[FreeCourseLab.com] Udemy - DevOps with AWS CodePipeline, Jenkins and AWS CodeDeploy |
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722.6 MB |
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6.3 MB |
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3.7 KB |
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1.5 GB |
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12.1 MB |
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5.8 KB |
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[FreeCourseSite.com] Udemy - MERN Stack Front To Back Full Stack React, Redux & Node.js |
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8.8 GB |
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/6. Getting Started With React & The Frontend/2. Implementing React.mp4 |
105.5 MB |
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15.5 KB |
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[FreeCourseLab.com] Udemy - Learn Python Programming Masterclass |
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6.1 GB |
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/12. Object Oriented Python/12. Implement Revised Load_Data Algorithm.mp4 |
37.5 MB |
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21.4 KB |
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0.1 KB |
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15.5 GB |
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83.7 MB |
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20.8 KB |
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72.3 MB |
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19.4 KB |
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1.1 GB |
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60.5 MB |
/4. Expression Tree/3. Implementation of Expression Tree.mp4 |
16.5 MB |
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4.5 KB |
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16.3 KB |
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17.8 MB |
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3.4 GB |
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/4. Project #2 - RPG Battle Script/9. Implementing different item types.mp4 |
40.6 MB |
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12.1 KB |
/10. Project #6 - Django Web Framework/8. Implementing Bootstrap.mp4 |
8.7 MB |
/10. Project #6 - Django Web Framework/8. Implementing Bootstrap.srt |
3.5 KB |
/12. Project #8 - PyQt Web Browser/3. QWebEngine implementation.mp4 |
42.4 MB |
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254.3 MB |
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/7.6. Interceptors and Priority/25.Implement a logging use case.en.srt |
9.9 KB |
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21.2 MB |
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[rwnd.cx] [OTUS] Математика для Data Science. Продвинутый курс. Часть 2 |
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1.4 GB |
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/17. Применения мат.анализа в ML/neural_network_implementation.ipynb |
1.4 MB |
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6.9 GB |
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/08 Multi-functioning Reverse Shell/052 Implementing send & receive functions-en.srt |
14.4 KB |
/08 Multi-functioning Reverse Shell/052 Implementing send & receive functions.mp4 |
69.1 MB |
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1.2 GB |
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/3.Linear Algebra/19.A2. Activity for Vectors Implementation.mp4 |
19.8 MB |
/3.Linear Algebra/20.A3. Activity for Matrix Implementation.mp4 |
18.2 MB |
/4.Statistics/26.A4. Activity for implementation of statistics.mp4 |
16.1 MB |
/9.Hypothesis and Gradient Descent/50.Implementation of hypothesis in Python.mp4 |
37.5 MB |
/9.Hypothesis and Gradient Descent/52.Implementation of Gradient Descent.mp4 |
36.9 MB |
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