MachineLearning1

What will be the shape of the array after reshaping a 1D array with 12 elements to a 2D array with 3 rows and 4 columns?

• 12,3

• 3,4

• 4,3

• 6,2

What is the result of the following operation: np.dot([1, 2], [3, 4])?

• 3,8

• 11

• 4,6

• 7,10

Which function in Matplotlib is used to display a plot?

• plt.show()

• plt.display()

• show()

• display()

How do you set the labels for the x-axis and y-axis in Matplotlib?

• plt.label("x-axis", "y-axis")

• plt.xaxis("Label") and plt.yaxis("Label")

• plt.xlabel("x-axis") and plt.ylabel("y-axis")

• plt.set_xlabel("x-axis") and plt.set_ylabel("y-axis")

Which of the following is a method to handle missing values in a dataset?

• Remove the rows with missing values

• Replace missing values with the mean or median

• Use imputation techniques

• To perform statistical tests

Which of the following methods is used for encoding categorical variables into numerical values?

• One-hot encoding

• Min-Max scaling

• Z-score normalization

• Principal Component Analysis (PCA)

What type of plot would you typically use to visualize the distribution of a numerical variable?

• Bar plot

• Line plot

• Histogram

• Scatter plot

In EDA, what does the correlation matrix represent?

• The relationship between two categorical variables

• The strength and direction of the linear relationship between numerical variables

• The distribution of the data

• The frequency of values in the dataset

Which of the following is a technique used for feature scaling in feature engineering?

• Label encoding

• Min-Max scaling

• One-hot encoding

• Recursive Feature Elimination (RFE)

When should you apply log transformation to a feature?

• When the feature is already normally distributed

• When the feature has a skewed distribution and needs to be made more symmetric

• When the feature is categorical

• When the feature contains missing values