Python Prowess

Python Prowess

University

8 Qs

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Python Prowess

Python Prowess

Assessment

Quiz

Other

University

Medium

Created by

combione usm

Used 2+ times

FREE Resource

8 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which of the following statistical measures provides information about the central tendency of a dataset?

Median

Variance

Interquartile range

Standard deviation

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which of the following visualization techniques is commonly used to explore the relationship between two continuous variables?

Box plot

bar chart

Histogram

Scatter plot

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the term "outlier" typically refer to in data exploration?

The average value of a dataset.

The standard deviation of a dataset.

A data point that lies within the main cluster of the dataset.

A data point that is significantly different from other observations in the dataset.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes a decision tree?

A linear model used for regression analysis.

A clustering algorithm for grouping similar data points.

A graphical representation of decision-making based on probabilities.

A hierarchical structure composed of nodes and branches, representing decisions and outcomes.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What distinguishes Random Forest from a single Decision Tree?

Random Forest applies a different splitting criterion.

Random Forest uses a gradient boosting technique.

Random Forest requires fewer computational resources.

Random Forest combines the predictions of multiple decision trees.

6.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

___________  is the process of transforming raw data into features that are suitable for machine learning algorithms.

Transfer

Feature design

Transfer design

Feature engineering

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the reason for overfitting or underfitting?

Loss is high

Accuracy is low

Training data is not cleaned

Model capacity is too small or too big

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A good fit (optimization) for a model can be defined as  __________

line or curve overfit the data

line or curve underfit the data

line or curve that best fit the data

using a random mathematical function to represent the model