![]() Without knowing fundamentals of OOP, you would not be able to understand why you write the code in this manner. You first have to declare your model as an object and then you use a fit method. For example, you are building a regression model using scikit-learn library. All these libraries depend on OOP and its concepts. These libraries were written by experienced python developers to automate or simplify most of tasks related to data science. When it comes to data manipulation and machine learning using Python, it is generally advised to study pandas, numpy, matplotlib, scikit-learn libraries. It's one of the most common question data scientists have before learning OOP. Do Data Scientists Use Object Oriented Programming?
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