Python Prowess

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combione usm
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8 questions
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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
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