Model implementation and evaluation are two important steps in machine learning. Model implementation is the process of applying a machine learning model to a given data set and performing the necessary computations to obtain predictions or classifications. Model evaluation is the process of assessing the quality and performance of a machine learning model using various metrics and techniques.
Write a reflection about one of the following topics:
Include how you expect to apply Key takeaways in your daily activities as a data analyst/scientist.
The reflection paper should be (2-3) pages following APA 7th edition format.