Models based, Instance Models, Train-Test Splits: The Building Blocks of Machine Learning Explained – Day 3
In machine learning and deep learning, the concepts of Model vs Instance Models and Train-Test Split are closely intertwined. A model serves as the blueprint for learning patterns from data, while an instance model represents the specific realization of that blueprint after training. The train-test split, on the other hand, plays a critical role in the creation and evaluation of these instance models by dividing the dataset into subsets for training and testing. This blog post will delve into the relationship between these concepts, first we explain model vs instance based and then we explain train- test spilt and...
