Explore advanced Python programming techniques for data processing in this 28-minute video tutorial, part 3b of a 4-part series. Learn how to write smarter code using classes, focusing on creating a DatasetSelector and DatasetManager class. Dive into adding methods to classes, instantiating class objects, and incorporating Scikit-learn support. Follow along as the tutorial covers code review, class creation, method implementation, and handling sample size errors. Gain practical insights into efficient data processing and management using object-oriented programming principles in Python.
Data Processing Fundamentals - Smarter Python Code With Classes
Overview
Syllabus
- Video Starts
- What is covered?
- Code review
- Create DatasetSelector Class
- Adding methods to class
- Instantiate class object
- Adding Scikit-learn support
- Create DatasetManager class
- Adding Method to Class
- Instantiate 2nd class object
- Scikit-learn dataset loading
- Sample Size Error
Taught by
Prodramp
