Data Cleaning using Object Oriented Programming - Handling Missing Values
14:42
YouTubeData to Decisions
Data Cleaning using Object Oriented Programming - Handling Missing Values
In this video, we handle missing values using an Object-Oriented Programming (OOP) approach in Python. We create custom Cleaning class and apply it to multiple datasets. Instead of rewriting the same code again and again, we define the cleaning logic once and reuse it for any number of datasets. This makes the code reusable, organized and scalable.
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