Refactoring A Data Science Project Part 1 - Abstraction and Composition скачать в хорошем качестве

Refactoring A Data Science Project Part 1 - Abstraction and Composition

💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide. This is the first part of a 3-part miniseries in which I refactor a hand-written digit recognition data science project based on the MNIST dataset to improve the software design so it's easier to reuse and adapt. In this first part I cover using abstract classes and protocols to better separate the various aspects of the application, and I talk about function composition as a generic solution to dealing with data pipelines. Links to Pytorch and Scikit learn functional composition tools: https://pytorch.org/docs/stable/gener... https://scikit-learn.org/stable/modul... Part 1:    • Refactoring A Data Science Project Pa...   Part 2:    • Refactoring A Data Science Project Pa...   🎓 ArjanCodes Courses: https://www.arjancodes.com/courses/ 🔖 Chapters: 0:00 Intro 1:29 Explaining the code 6:41 About data science 7:35 Separating experiment tracking from the rest of the code 16:52 Improving data type consistency 19:44 Improving the way variables are handled 22:26 About function composition 29:03 Final thoughts #arjancodes #softwaredesign #python