Classification using Neural Networks using R - A Complete Guide
In this video we will learn :-
Loading data set & how to prepare it as training, validation and test samples.
Justification and Reasoning behind creating Validation Set.
Concept of Generalization, Overfiting & Underfitting
What is Hyper-Parameters and Parameters.
Step-wise Classification to crate Confusion Matrix.
Understanding Confusion Matrix.
Visualizing Neural Network Architecture in the context of data features and Understanding the reasoning behind number of nodes in input and output layer.
Understanding Apply Function.
Understanding "best" Keyword.
Reasoning behind Data Shuffling.