
Machine Learning Quiz
Quiz
•
Computers
•
Professional Development
•
Practice Problem
•
Hard
Vijay Agrawal
Used 6+ times
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A retail company wants to predict customer churn based on past purchase behavior, customer service interactions, and demographic data. Which type of machine learning problem is this?
Unsupervised learning - clustering
Supervised learning - classification
Supervised learning - regression
Reinforcement learning
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main goal of supervised learning?
To find hidden patterns in data without labeled output
To predict outcomes based on labeled input-output pairs
To reduce dimensionality of data
To cluster data into groups
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following best describes the difference between classification and regression?
Classification predicts numerical outcomes, while regression predicts categorical outcomes
Regression predicts numerical outcomes, while classification predicts categorical outcomes
Regression clusters data, while classification reduces dimensions
Classification uses unsupervised learning, while regression uses supervised learning
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a data science project, after data cleaning, what is typically the next step?
Training the model
Feature engineering
Algorithm selection
Evaluation
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is an example of a real-life use case for classification?
Predicting future sales revenue of a company
Predicting whether an email is spam or not spam
Forecasting next week's weather temperature
Identifying clusters of customers based on buying habits
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
You are tasked with predicting housing prices in different neighborhoods based on features like square footage, number of bedrooms, and location. Which type of model would you use?
Classification
Clustering
Regression
Reinforcement learning
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In unsupervised learning, which of the following techniques is commonly used to group data?
Decision trees
Clustering
Linear regression
K-nearest neighbors
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