Data Science Quiz

A digital illustration of data science concepts, featuring elements like graphs, algorithms, and data analysis tools, with a modern technology theme.

Data Science Quiz Challenge

Test your knowledge of data science concepts and practices with our engaging quiz! This quiz covers a range of topics from the data science lifecycle to predictive modeling techniques. Whether you're a beginner or an expert, this quiz is designed to enhance your understanding.

  • 10 thought-provoking questions
  • Multiple choice, rankings, and checkboxes
  • Interactive and educational experience
10 Questions2 MinutesCreated by AnalyzingData42
What is not a stage of the Data Science lifecycle?
Feature Engineering
Model Deployment
Business Understanding
Data Mining
Data Science is the science of analyzing raw data to make conclusions about that information
True
False
Re-order the steps of the Predictive Modeling phase.
Hyperparameters choice
Model training
Performance evaluation
The objective of Linear Regression is to assign a category to data points.
True
False
Select all correct statements for Adjusted-R2.
It is a modified version of R2 that has been adjusted for the number of features in the model
It represents the proportion of the variance for a dependent variable that is explained by an independent variable
It increases when a feature improves the model more than would be expected by chance
It is the median of all absolute differences between the target and the prediction
What is the InterQuartile Range method used for?
Encode data
Rescale features
Filter outliers out
Impute data
Which of the following methods is used to rescale features?
Standardization
Normalization
Min-Max Scaling
All of the above
Why is it important to split the dataset into train and test sets?
To test if the training phase has ended correctly
To get an unbiased estimate of model's performance on unseen data
Because having more datasets increases model's precision
To deal with Bias-Variance tradeoff
The Jensen-Shannon Distance is a metric for measuring the similarity between two statistical distributions.
True
False
Machine Learning consists of which of the following paradigms?
Reinforcement Learning
Supervised Learning
Deep Learning
Unsupervised Learning
{"name":"Data Science Quiz", "url":"https://www.quiz-maker.com/QPREVIEW","txt":"Test your knowledge of data science concepts and practices with our engaging quiz! This quiz covers a range of topics from the data science lifecycle to predictive modeling techniques. Whether you're a beginner or an expert, this quiz is designed to enhance your understanding.10 thought-provoking questionsMultiple choice, rankings, and checkboxesInteractive and educational experience","img":"https:/images/course7.png"}
Powered by: Quiz Maker