Depending on the variables, various factors come into play to predict the weather. Because decision

tree evaluation can be quantified and is simple to use, a model based on decision tree has been

proposed by data analysts to predict events such as temperature, humidity, and so on$.$ Given the values

of Temperature which are ;

Hot, Mid, & Cool that is THOT has values two positive and two negative, where TMID has four positive

and two negative and finally TCOOL has the values three positive and one negative respectively.

With and already established Entropy of $0\mathrm{.}94$ that is derived from nine negative and five positive $,$ using

the Decision Trees algorithm under machine learning, Interpret the following and find the Temperature

Gain as a Data Scientist? $[20$ marks$]$

The field of data analytics comprises four fundamental categories. Please enumerate and elaborate

on each type of data analytics. $[20$ marks $]$