## Multicollinearity

With increasingly advanced machine learning and deep learning algorithms, you can solve almost any problem with proper datasets. However, as the complexity of the...

## Singular value decomposition

Principal component analysis and singular value decomposition are among the two common concepts of linear algebra in machine learning. After collecting raw data, is...

## Relu Activation Function

Activate function is an essential element for designing a neural network. Choosing the activation function will give you complete control over the network model’s...

## Confounding Variable

Confounding variable is a statistical term.The concept is a bit confusing for many people because of the method to use. For starters, different researchers...

## Confusion Matrix

The classification process helps with the categorization of the dataset into different classes. A machine learning model enables you to: Frame the problem, Collect...