Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet: Code Preparation

Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet: Code Preparation

Assessment

Interactive Video

Computers

11th - 12th Grade

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial provides an overview of the Facebook Profit library, highlighting its ease of use and the simplicity of creating models with minimal code. It covers model customization options, data preparation, and fitting processes. The tutorial explains how to make predictions, plot results, and perform cross-validation. It also discusses change point detection and how to evaluate model performance using various metrics.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary advantage of using Facebook Prophet for time series forecasting?

It only works with financial data.

It is highly customizable with complex code.

It requires no data input.

It provides quick results with simple function calls.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which variable is commonly used in Prophet documentation to represent the model object?

F

Model

P

M

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the default growth model used in Prophet?

Polynomial

Exponential

Logistic

Linear

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you specify holidays in a Prophet model?

By listing them in a text file

By passing a specially formatted data frame

By using a JSON file

By using a CSV file

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What format should the data frame have for fitting a Prophet model?

Columns named 'DS' and 'Y'

Columns named 'Date' and 'Value'

Columns named 'Time' and 'Series'

Columns named 'X' and 'Y'

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the 'make_future_dataframe' function in Prophet?

To merge multiple data frames

To delete old data

To visualize past data

To create a data frame with future timestamps for predictions

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Prophet handle cross-validation differently from other libraries?

It uses a fixed training set size.

It allows overlapping predictions with flexible step sizes.

It does not support cross-validation.

It requires manual calculation of metrics.

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