Model Training Using Unscaled Data

Explore the process of training a K-Nearest Neighbors model using unscaled features. Learn to separate data, create a training set, fit the model with an initial neighbor value, and evaluate its performance with confusion matrix and classification metrics. Understand the impact of unscaled data on model accuracy and prepare for optimizing parameters.