Model Training Using Scaled Features
Explore how to train a K-Nearest Neighbors model using scaled features, evaluate its performance, and understand the impact of parameter choices like k-value on model accuracy and efficiency. Learn why scaling is crucial in distance-based algorithms.
We'll cover the following...
We'll cover the following...
We have the scaled data from the previous lesson. Let’s split the data into the train and test parts. We can either use our newly created data frame (df_scaled_features) or NumPy ...