Refactoring ML/DL Algorithms: Techniques & Principles

Machine Learning    |    Intermediate
  • 14 Videos | 1h 5m 20s
  • Includes Assessment
  • Earns a Badge
Likes 6 Likes 6
Explore techniques of refactoring code, the process of changing a computer program source code without modifying its external functional behavior, in this 14-video course exploring design patterns and challenges in refactoring code. First, learn the essential machine learning principles when planning code, including how to identify what instead of how, and to look for consistencies. You will then learn to recognize the causes of technical debts that contribute to challenges in existing code. Next, you will learn code refactoring techniques and types of processes that you can use to eliminate deficiencies in the code. This course demonstrates the refactoring capabilities provided by PyCharm to refactor Python code, and the steps involved in optimizing Python code. You will learn static code analysis of Python by using Prospector, refactoring code to ensure backward compatibility, and the role of design patterns in code refactoring, and how to use rope to refactor Python code. Finally, you will learn to recall the prominent antipatterns that potentially complicate code and code refactoring.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    define the concept of refactoring and the primary coding issues that can be resolved with code refactoring
    recognize the causes of technical debts, which contribute to coding challenges
    list code refactoring techniques and types of processes that can be used to eliminate code deficiencies
    demonstrate the refactoring capabilities provided by Pycharm to refactor Python code
    demonstrate static code analysis for Python using Prospector and refactor code to ensure backward compatibility
    illustrate the role of design patterns in code refactoring
  • recall the essential principles and challenges associated with code refactoring
    recognize critical code elements and corresponding examples to illustrate the principles of good coding
    recognize techniques that can be used to refactor Python code and derive the best coding outcomes
    demonstrate the steps involved in optimizing Python code
    demonstrate how to use Rope to refactor Python code
    recall anti-patterns that can potentially complicate code and code refactoring
    recall code refactoring techniques, specify the principles and challenges associated with code refactoring, and use Rope to refactor Python code

IN THIS COURSE

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

BOOK Test Your Skills in Python: An interactive way to introduce the world of Computer Programming, 2nd Edition
BOOK Coding for Beginners - 7: Using Python
BOOK Five Lines of Code

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

COURSE Agile Software Projects: Estimation Methods
Likes 51 Likes 51  
COURSE SCRUM Meetings
Likes 97 Likes 97  
COURSE API Clean and Secure Coding: Clean Coding
Likes 48 Likes 48