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05 Source control/055 Pycharm git flow and PRs.mp4 111.6 MB
08 Server-side python web apps/079 Template tooling(Chameleon, Jinja2).mp4 105.7 MB
04 The editor/032 working with editor demo.mp4 105.1 MB
12 Performance and profiling/106 Optimizing the machine learning.mp4 99.8 MB
01 Why Pycharm and IDEs/006 How to learn features of an IDE.mp4 99.2 MB
05 Source control/048 Accessing source control.mp4 98.1 MB
13 Unit testing/112 Writing our tests.mp4 82.5 MB
12 Performance and profiling/103 Profiling the slow app.mp4 79.4 MB
14 Data science tools/119 Activating data science mode.mp4 78.1 MB
08 Server-side python web apps/078 Creating server-side project.mp4 77.1 MB
11 Packages/098 Creating new packages.mp4 74.1 MB
09 Client-side web apps/086 Less.mp4 72.9 MB
06 Refactoring/060 Finding duplicate code.mp4 72.5 MB
03 Pycharm projects/019 Working with existing projects.mp4 72.3 MB
09 Client-side web apps/084 TypeScript tooling.mp4 68.7 MB
09 Client-side web apps/088 Electron JS demo.mp4 68.2 MB
16 Extending pycharm with plugins/133 A 1,000 extra plugins.mp4 67.9 MB
10 Debugging python applications/092 A debugging example.mp4 65.5 MB
13 Unit testing/114 Measuring test quality with code coverage.mp4 63.9 MB
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Урок 1. Введение в ООП Python.mp4 605.3 MB
Урок 4. Итераторы и генераторы в Python.mp4 69.0 MB
Урок 5. Последовательности в Python.mp4 62.8 MB
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Урок 3. Исключения в Python.mp4 60.7 MB
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6. Tree/6. Project HR.mp4 186.5 MB
7. Ensemble Machine Learning/2. Bagging.mp4 173.5 MB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 163.2 MB
3. Regression/2. EDA.mp4 159.0 MB
11. Deep Learning/3. Motivational Example - Project MNIST.mp4 152.0 MB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 150.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 148.8 MB
3. Regression/15. Data Preprocessing.mp4 142.1 MB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 134.8 MB
3. Regression/19. CV Illustration.mp4 133.4 MB
10. Unsupervised Learning Clustering/1. Clustering.mp4 131.8 MB
3. Regression/9. Multiple Regression 1.mp4 131.6 MB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 130.9 MB
4. Classification/1. Logistic Regression.mp4 125.4 MB
3. Regression/7. Robust Regression.mp4 124.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 116.5 MB
3. Regression/12. Polynomial Regression.mp4 116.2 MB
4. Classification/3. Understanding MNIST.mp4 114.3 MB
3. Regression/4. Correlation Analysis and Feature Selection.mp4 110.3 MB
4. Classification/10. Precision Recall Tradeoff.mp4 107.0 MB
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5. Transformer - Application/14. Training.mp4 182.1 MB
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4. Transformer - Intuition/4. Attention.mp4 150.1 MB
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5. Transformer - Application/11. Encoder.mp4 115.9 MB
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3. CNN for NLP - Application (sentimental analysis)/6. Model.mp4 78.6 MB
5. Transformer - Application/4. Cleaning.mp4 73.9 MB
5. Transformer - Application/15. Evaluation.mp4 73.4 MB
5. Transformer - Application/8. Positional encoding.mp4 63.4 MB
2. CNN for NLP - Intuition/3. Image to text.mp4 58.3 MB
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2. CNN for NLP - Intuition/2. Basic CNN.mp4 56.8 MB
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1. Introduction/1. Welcome! NLP introduction & course overview.mp4 48.7 MB
3. CNN for NLP - Application (sentimental analysis)/5. Inputs creation.mp4 45.7 MB
3. CNN for NLP - Application (sentimental analysis)/4. Cleaning.mp4 44.5 MB
4. Transformer - Intuition/6. Last details.mp4 42.6 MB
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02 First Project Publish a website to S3/007 Miscellaneous features.mp4 184.3 MB
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04 Third Project Analyze videos with Rekognition/004 Start Rekognition job.mp4 85.9 MB
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02 First Project Publish a website to S3/005 Sync directory tree to S3.mp4 85.2 MB
01 Getting Started/002 Machine Setup Mac.mp4 83.1 MB
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[SkillShare] Fundamentals of Python for Data Mining/6-Language Essentials 2.mp4 56.1 MB
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4. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).mp4 68.3 MB
4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).mp4 63.1 MB
4. Hidden Markov Models for Discrete Observations/9. The Viterbi Algorithm (part 2).mp4 62.2 MB
4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).mp4 58.3 MB
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6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
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4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.mp4 44.4 MB
4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).mp4 41.9 MB
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2. Markov Models/2. Markov Models.mp4 34.1 MB
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12. Заключение/1. Знакомство с машинным обучением.mp4 139.3 MB
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11. Функции и модули/10. Практикум используем numpy.mp4 36.2 MB
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7. Циклы while, for/5. Операторы break, continue, else.mp4 35.7 MB
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8. Работа со строками/11. Практикум форматирование строк.mp4 34.9 MB
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25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.srt 116.8 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
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25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
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25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
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1. Python Basics Introduction/2. Let's Begin Python.mp4 102.6 MB
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13. Python Basics Functions/10. 11.3 File Handling Find All Directory and Files in System.mp4 43.6 MB
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28. Advanced Python Modules and Packages/1. Modules and Packages.mp4 39.8 MB
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Addison-Wesley - Learn More Python the Hard Way LiveLessons/part04.mp4 2.2 GB
Addison-Wesley - Learn More Python the Hard Way LiveLessons/part05.mp4 1.9 GB
Addison-Wesley - Learn More Python the Hard Way LiveLessons/part06.mp4 1.9 GB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/5.2 Application Pages.flv 918.4 MB
Addison-Wesley - Learn More Python the Hard Way LiveLessons/part03.mp4 833.9 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/3.3 Fields.flv 782.7 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/5.3 Web Parts.flv 725.0 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/5.4 Event Receivers.flv 592.4 MB
Addison-Wesley - Learn More Python the Hard Way LiveLessons/part02.mp4 568.4 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/3.7 Document Libraries, Files, and Folders.flv 521.1 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/3.6 Content Types.flv 510.8 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/3.4 Managed Metadata.flv 477.4 MB
Addison-Wesley - Learn More Python the Hard Way LiveLessons/part00.mp4 466.1 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/5.5 Timer Jobs.flv 382.2 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/3.2 List Items.flv 377.3 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/4.3 Features.flv 348.4 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/2.2 Working with the SPSite Object.flv 309.4 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/4.2 Solutions.flv 305.1 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/3.1 Lists.flv 280.8 MB
Addison-Wesley - SharePoint 2013 Development Fundamentals LiveLessons/2.1 How SharePoint Sites are Organized.flv 259.0 MB
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- 【影视】 Complete Python Developer in 2021 Zero to Mastery
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收录时间:2020-11-24
文档个数:455
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Section 23. Bonus_Extra Bits/321. AMA - 100,000 Students!!.mp4 900.9 MB
Section 23. Bonus_Extra Bits/320. AMA - 1,000 Students!!.mp4 446.6 MB
Section 16. Py Developer Career/200. What If I Don't Have Enough Experience.mp4 212.4 MB
Section 23. Bonus_Extra Bits/307. CWD Git + Github.mp4 196.8 MB
Section 21. ML + Data Science/301. Exercise ReallySmartBrain.mp4 145.6 MB
Section 23. Bonus_Extra Bits/309. CWD Git + Github 2.mp4 138.5 MB
Section 23. Bonus_Extra Bits/310. Contributing To Open Source.mp4 136.6 MB
Section 20. Automation_Testing/281. Selenium Basics.mp4 128.3 MB
Section 19. Web Devt with Py/276. Building A Portfolio 8.mp4 125.9 MB
Section 5. Developer Environment/102. Optional Terminal Commands.mp4 123.1 MB
Section 23. Bonus_Extra Bits/311. Contributing To Open Source 2.mp4 118.5 MB
Section 11. Modules In Python/170. Python Built-in Modules.mp4 115.9 MB
Section 20. Automation_Testing/282. Selenium Basics 2.mp4 114.8 MB
Section 5. Developer Environment/109. Jupyter Notebooks.mp4 110.6 MB
Section 2. Python Introduction/4. What Is A Programming Language.mp4 109.8 MB
Section 19. Web Devt with Py/271. Building A Portfolio 7.mp4 102.3 MB
Section 21. ML + Data Science/292. Data Science 2.mp4 101.9 MB
Section 19. Web Devt with Py/269. Building A Portfolio 5.mp4 101.1 MB
Section 15. Testing In Python/196. Exercise Testing.mp4 100.4 MB
Section 10. Generators/160. Generators 2.mp4 99.5 MB
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- 【影视】 O'Reilly - Working with Unicode in Python
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收录时间:2020-11-24
文档个数:23
文档大小:489.3 MB
最近下载:2025-06-08
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03. Python String Basics/03_02-Converting Between Text And Bytes.mp4 46.5 MB
02. Text Encodings/02_04-Unicode Character Encoding Schemes Part 2.mp4 37.3 MB
03. Python String Basics/03_01-Unicode Strings Vs. Byte Strings.mp4 35.5 MB
02. Text Encodings/02_01-ASCII And Legacy Encodings.mp4 35.3 MB
02. Text Encodings/02_03-Unicode Character Encoding Schemes Part 1.mp4 35.0 MB
05. Special Unicode Functions/05_05-Example Removing Diacritics.mp4 33.6 MB
05. Special Unicode Functions/05_03-Normalization Part 2.mp4 33.1 MB
01. Introduction/01_01-Course Introduction And What To Expect.mp4 29.0 MB
01. Introduction/01_05-How To Access Your Working Files.mp4 27.7 MB
05. Special Unicode Functions/05_02-Normalization Part 1.mp4 21.2 MB
04. Reading And Writing Unicode Data/04_03-File IO Example Character Counter.mp4 17.7 MB
03. Python String Basics/03_04-Implicit Decoding In Python 2.mp4 17.2 MB
01. Introduction/01_03-Software Setup And Tips.mp4 17.0 MB
06. Conclusion/06_01-WrapUp And Further Resources.mp4 15.4 MB
03. Python String Basics/03_05-Encoding And Decoding Pitfalls In Python 2.mp4 15.0 MB
04. Reading And Writing Unicode Data/04_02-File IO.mp4 13.5 MB
05. Special Unicode Functions/05_06-Sorting The pyuca Package.mp4 12.6 MB
01. Introduction/01_04-Windows Setup Issues.mp4 12.5 MB
05. Special Unicode Functions/05_01-Accessing Unicode Character Metadata.mp4 11.9 MB
04. Reading And Writing Unicode Data/04_01-The Unicode Sandwich.mp4 10.6 MB
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