Python Functions and DataFrame Operations Quiz

Podcast Beta

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What does the function factor([1, 2, 3], [4, 5, 6]) return?

[[1], [1, 2, 3]]

[[1, 2], , [1, 2, 3]]

[[2], [1, 2, 3]]

[[1, 2], [1, 2, 3]] (correct)

What is the result of executing a = df['width'] > 5, assuming 'width' contains integers in a DataFrame?

An array of True/False values based on each element in 'width'.

An empty Series since comparisons cannot be made directly.

A DataFrame with Boolean values for each value in 'width'.

A Series with Boolean values for each row in df. (correct)

In Python's object-oriented programming, what action is generally needed to make an object's print representation informative about its attributes?

Defining a showInfo() function.

Overriding the str() method. (correct)

Creating a custom print() function.

Using a predefined display() method.

What change is required for a function to calculate 2N when N is an integer and N > 1?

Adding a base case that returns 1 when N == 0. Signup and view all the answers

What is a key difference between a linked list and a standard Python list?

In Python lists, elements are accessed through references to other elements. Signup and view all the answers

Which scenario indicates that overfitting may be occurring in a predictive model?

Higher accuracy on the training set compared to the test set. Signup and view all the answers

What is the main advantage of embeddings over one-hot encodings in natural language processing?

Allow learning about one word to affect the system's behavior toward words with similar meanings Signup and view all the answers

Which best describes the concept of 'refactoring' code?

Rewriting the code to be stylistically cleaner Signup and view all the answers

Which data structure is most similar to the structure of a JSON file?

Dictionary Signup and view all the answers

What does it mean when an object attribute starts with an underscore character?

The attribute cannot be accessed from outside the class Signup and view all the answers

What common mistake could lead a recursive function to run indefinitely?

Omitting the base case Signup and view all the answers

What underlying data structure does a Python list use?

Dynamic Array Signup and view all the answers

What is the best practice for training and evaluating a machine learning system?

Train on the training set, optimize based on validation set performance, and finally evaluate on the test set. Signup and view all the answers

In which machine learning algorithm is scaling numerical features most important before feeding them to the algorithm?

K-nearest Neighbors Signup and view all the answers

What should be the cosine value between two word embedding vectors to provide strong evidence that the meanings of the words are similar?

Close to 1 Signup and view all the answers

Why is it important to have separate training, validation, and test sets in machine learning model evaluation?

To prevent overfitting and select the best model based on unbiased performance Signup and view all the answers

What step should follow training on the training set in a machine learning system?

Optimize based on validation set performance Signup and view all the answers

Study Notes

Machine Learning Best Practices

Best practice for training and evaluating a machine learning system is to randomly choose examples for training, validation, and test sets, and evaluate on the test set after optimizing on the validation set.

Feature Scaling

In K-nearest Neighbor algorithm, it is most important to scale numerical features before feeding them to the algorithm.

Word Embeddings

A cosine of the angle between two word embedding vectors close to 1 is strong evidence that the meanings of the words are similar.