Introduction to Principal Component Analysis (PCA) and implementation in R and Python
Principal Component Analysis (PCA) is a statistical technique used for dimensionality reduction, which simplifies the complexity in high-dimensional data while…
The fun you can't miss!
Principal Component Analysis (PCA) is a statistical technique used for dimensionality reduction, which simplifies the complexity in high-dimensional data while…
Here, we denote by the event NOT . Example 1: Magical Investment Returns In the magical forest, gnomes invest in…
Here, we denote by the event NOT . Example 1: Squirrel Flu Testing In a forest, a group of squirrels…
Understanding the relationship between univariate and multivariate normal distributions can provide a clearer framework for remembering the definition and properties…
Understanding the relationship between derivatives and antiderivatives can significantly help in remembering and applying the rules for finding antiderivatives (also…
Mutually exclusive events are events that cannot occur at the same time. In other words, the occurrence of one event…
A permutation refers to the arrangement of objects in a specific order. The order of arrangement is important in permutation.…
The exponential distribution is commonly used to model the time between events in a Poisson process. It is defined by…
The chain rule is a fundamental technique in calculus for finding the derivative of a composite function. Here are some…