$1.$ THE MACHINE LEARNING PROCESS:

Let us assume that you have some problem that you are interested in using machine learning on$,$ such as a coin classification problem. Let us briefly examine the process by which machine learning algorithms can be selected, applied, and evaluated for the problem.

$($a$)$ Data Collection and Preparation

$($b$)$ Feature Selection

$($c$)$ Algorithm Choice

$($d$)$ Parameter and Model Selection

$($e$)$ Training

$($f$)$ Evaluation

Explain each step in a little more detail.