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

Prodramp
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