What is Principal Component Analysis? Principal Component Analysis (PCA) is a statistical procedure and an Unsupervised Learning Algorithm for reducing the dimensionality of a data set while retaining as much information as possible. PCA does this by finding a set of new variables, called “Principal Components”, that are linear combinations of the original variables. The principal components are chosen so ...

The Runge-Kutta method is a numerical technique used to solve ordinary differential equations by iteratively approximating the solution. This essential technique is pivotal for solving ordinary differential equations, commonly employed in modeling dynamic systems. Python and MATLAB serve as ideal platforms for hands-on learning, offering robust libraries. Mastering Runge-Kutta is crucial for applications in physics, engineering, and biology. Join our ...