✅ Quiz M1.01

Question

In the notebook “First look at our dataset”, we used pandas and specifically adult_census = pd.read_csv("../datasets/adult-census.csv") to:

• a) load a comma-separated values file

• b) load a dataset already included in the pandas package

• c) load a file only containing the survey features

• d) load a file only containing the target of our classification problem: whether or not a person has a low or high income salary

• e) load a file containing both the features and the target for our classification problem

Select all answers that apply

Question

In the previous notebook, we used:

• a) pandas to gain insights about the dataset

• b) pandas and seaborn to visually inspect the dataset

• c) numpy and scipy to perform numerical inspection (for instance using scipy.optimize.minimize)

• d) scikit-learn to fit some machine learning models

Select all answers that apply

Question

How is a tabular dataset organized?

• a) a column represents a sample and a row represents a feature

• b) a column represents a feature and a row represents a sample

• c) the target variable is represented by a row

• d) the target variable is represented by a column

Select all answers that apply

Question

A categorical variable is:

• a) a variable with only two different possible values

• b) a variable with continuous numerical values

• c) a variable with a finite set of possible values

Select a single answer