classification

Introduction Hie there ,welcome back to one of my presentations ,This presentation will cover some basics of survival analysis, and the following series of tutorial papers can be helpful for additional reading:

Machine Learning Scientist With an R track View certificate A gentle introduction to classification Classification is a form of machine learning in which you train a model to predict which category an item belongs to.

Every time some operations have to be repeated, a loop may come in handy. Loops are good for: Doing something for every element of an object; Doing something until the processed data runs out; Doing something for every file in a folder; Doing something that can fail, until it succeeds; Iterating a calculation until it reaches convergence.

Multinomial If we have more than two categories or groups that we want to model relative to covariates (e.g., we have observations \(i = 1,\cdots,n\) and groups covariates \(j = 1,\cdots,J\)), multinomial is our candidate model