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machine learning multiple choice questions and answers pdf
Hello Friends In this Post We will discuss about Machine Learning MCQ and There Answers In Brief. We are Discussing About Data Preprocessing for Machine learning,Data Cleansing,Feature Scaling.
41.Python’s_____library provides a great sample dataset generator which will help you to create your own custom dataset
ANSWER= (C) Sklearn
Explain:-
42._____ is a technique that is used to convert the raw data into a clean data set.
ANSWER= (B) Data Preprocessing
Explain:-
43._____is a useful technique to transform attributes with a Gaussian distribution and differing means and standard deviations to a standard Gaussian distribution with a mean of 0 and a standard deviation of 1.
ANSWER= (D)Standardize Data
Explain:-
44.Which Of the Following Step is not involved in Data Cleaning
ANSWER= (C) Binarization Data
Explain:-
45_____ is a technique to standardize the independent features present in the data in a fixed range
ANSWER= (B) Feature Scaling
Explain:-
46._____ square-root of the sum of squares of differences between the coordinates of data point and centroid of each class
ANSWER= (A) Euclidean Distance
Explain:-
47._____ calculated as the sum of absolute differences between the coordinates of data point and centroid of each class.
ANSWER= (C) Manhattan Distance
Explain:-
47._____ generalization of above two methods.
ANSWER= (D) Minkowski Distance
Explain:-
49._____ technique re-scales a feature or observation value with distribution value between 0 and 1.
ANSWER= (B) Min-Max Normalization
Explain:-
50._____ is a very effective technique which re-scales a feature value so that it has distribution with 0 mean value and variance equals to 1.
ANSWER= (C) Standardization
Explain:-
