Data Science Data Science/Questions/Trivia 1

Question 1

Which Python library is primarily used for numerical computing and working with multi-dimensional arrays?

Accepted Answer

NumPy

Answer

NumPy (Numerical Python) is the foundational library for numerical computing in Python, providing support for large multi-dimensional arrays and matrices along with a collection of mathematical functions.

Question 2

What does 'NaN' stand for in data science and programming contexts?

Accepted Answer

Not a Number

Answer

NaN stands for 'Not a Number' and is used to represent missing, undefined, or unrepresentable numeric values in datasets and computations.

Question 3

In machine learning, what term describes a model that learns the training data too well, including its noise, and fails to generalize to new data?

Accepted Answer

Overfitting

Answer

Overfitting occurs when a model is too complex and captures noise in the training data, resulting in high accuracy on training data but poor performance on unseen test data.

Question 4

What type of plot uses rectangular bars whose heights represent the frequency of data falling within specified ranges?

Accepted Answer

Histogram

Answer

A histogram displays the distribution of a single continuous variable by dividing data into intervals (bins) and showing the count or frequency of observations in each bin.

Question 5

What does 'SQL' stand for in the context of database management?

Accepted Answer

Structured Query Language

Answer

SQL stands for Structured Query Language, the standard language used to communicate with and manipulate relational databases — a core skill in data science for retrieving and transforming data.

Data Science Practice Test

Data Science Practice Test

Data Science Data Science/Questions/Trivia 1