Learn to write smarter Python code using classes for data processing in this 32-minute video tutorial. Explore the creation of a DatasetSelector class, add methods to enhance functionality, and instantiate class objects. Discover how to incorporate Scikit-learn support and create a DatasetManager class with additional methods. Practice instantiating multiple class objects and loading Scikit-learn datasets. Address common issues like sample size errors while gaining practical insights into object-oriented programming for efficient data handling.
Data Processing Fundamentals - Writing 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
