Earn Your CS Degree, Tuition-Free, 100% Online!
Learn EDR Internals: Research & Development From The Masters
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
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.
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