Data Science Data Science-FREE Data Science 1

Question 1

Which measure of central tendency is most resistant to the influence of outliers in a dataset?

Accepted Answer

Median

Answer

Mean

Answer

Mode

Answer

Standard deviation

Question 2

In the context of machine learning, what is the primary purpose of a validation set?

Accepted Answer

To tune hyperparameters and select the best model configuration

Answer

To train the model's parameters

Answer

To evaluate the final model performance on unseen data

Answer

To preprocess and clean the raw input data

Question 3

Which probability distribution is commonly used to model the number of events occurring within a fixed time interval when events happen independently?

Accepted Answer

Poisson distribution

Answer

Normal distribution

Answer

Binomial distribution

Answer

Uniform distribution

Question 4

What is the purpose of the 'learning rate' hyperparameter in gradient descent optimization?

Accepted Answer

It controls how much the model's weights are updated at each step

Answer

It determines the number of training epochs

Answer

It sets the proportion of data used for training versus validation

Answer

It defines the depth of a decision tree

Question 5

Which of the following best describes the concept of 'feature engineering'?

Accepted Answer

Transforming or creating input variables to improve model performance

Answer

Selecting the optimal machine learning algorithm for a task

Answer

Splitting data into training and test sets

Answer

Evaluating a model using cross-validation

Question 6

In a linear regression model, what does the R-squared (R²) value indicate?

Accepted Answer

The proportion of variance in the target variable explained by the model

Answer

The average error between predicted and actual values

Answer

The number of independent variables in the model

Answer

The probability that the model's coefficients are statistically significant