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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

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