>>>>>>Machine Learning Interview Questions
##### Explain Ordinal variable?
These are nominal variables which have logical order. Examples include team ranks in cricket or football, merit list of students appearing for grade students.
##### Explain Continuous variables?
These are variables which can take can any value on the measurement scale example includes pitch of voice which can take any possible value within the range.
##### Explain Discrete variables?
These are variables which can take fixed values in range. For example, number of customers in a bank.
##### Is it possible to convert continuous values to discrete and vice versa?
Yes, based upon the motive of study, it is possible to convert discrete values to continuous and vice versa, for example, Level of water in the tank can take any value in the range and as such a continuous variable.
But we can approximate the same to three different levels like empty, full, or half empty and this now becomes discrete in nature.
##### What are interval variables?
These are variables which are grouped on interval. Example is age can be divided in range like 10-20, 20-30 and so on and, person with particular age would be placed in one of the above groups. When intervals are equal, they represent difference in equal property being measured.

##### Description
• Machine Learning Interview Questions can be used to give quizzes by any candidate who is preparing for Data Scientist Interview
• This Machine Learning Questions Answers section will help you test your analytical skills in a tricky method, thereby giving you an edge over other students
• All candidates who have to appear for the IT Officer  can also refer to this short questions answers section.
• You can also get access to the Machine Learning Interview ebook.
• Machine Learning Questions can be used in the preparation of B.Sc (IT) , M. Sc (IT), BCA, MCA and various other exams.