Explain Normal Distribution.

1.	Explain Normal Distribution.
Answer» Known as the BELL CURVE or the Gauss distribution, the Normal Distribution plays a key role in STATISTICS and is the basis of Machine Learning. It generally defines and measures how the values of a variable differ in their means and standard deviations, that is, how their values are distributed. The above IMAGE illustrates how data usually TEND to be distributed around a central value with no bias on either side. In addition, the random variables are distributed according to symmetrical bell-shaped curves.

Answer»

Known as the BELL CURVE or the Gauss distribution, the Normal Distribution plays a key role in STATISTICS and is the basis of Machine Learning. It generally defines and measures how the values of a variable differ in their means and standard deviations, that is, how their values are distributed.

The above IMAGE illustrates how data usually TEND to be distributed around a central value with no bias on either side. In addition, the random variables are distributed according to symmetrical bell-shaped curves.

Discussion

No Comment Found

Related InterviewSolutions

What do you mean by collisions in a hash table? Explain the ways to avoid it.
Explain a hash table.
Mention some of the python libraries used in data analysis.
How does data visualization help you?
What do you mean by data visualization?
Explain Normal Distribution.
Explain the KNN imputation method.
Write difference between data analysis and data mining.
What are the ways to detect outliers? Explain different ways to deal with it.
Explain Outlier.