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1
- Video Starts
2
- What is covered?
3
- Code review
4
- Create DatasetSelector Class
5
- Adding methods to class
6
- Instantiate class object
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- Adding Scikit-learn support
8
- Create DatasetManager class
9
- Adding Method to Class
10
- Instantiate 2nd class object
11
- Scikit-learn dataset loading
12
- Sample Size Error
Description:
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

Prodramp
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