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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Holidays and Exogenous Regress

Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Holidays and Exogenous Regress

Assessment

Interactive Video

Computers

11th - 12th Grade

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The lecture continues with building profit models for time series, focusing on incorporating holidays and exogenous regressors. It demonstrates creating a new profit model, M3, and adding country holidays for demonstration purposes. The lecture then explains adding exogenous regressors, including state and school holidays, and creating a new model, M4. The process involves dummy encoding categorical data and fitting the model with added regressors. The lecture concludes with forecasting and analyzing results, highlighting the importance of removing non-relevant days from the time series.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary focus of the lecture in building profit models?

Improving computational efficiency

Developing new algorithms

Enhancing data visualization

Incorporating holidays and exogenous regressors

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which country is used as an example for adding holidays in the profit model?

France

Germany

United States

Italy

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of plotting components in the model?

To visualize the influence of each holiday

To compare different models

To reduce computational time

To enhance data accuracy

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the state holiday column in the dataset represent?

Customer demographics

Sales data

Store opening hours

Different types of holidays

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is dummy encoding used for the state holiday column?

To reduce data size

To enhance data security

To simplify data entry

To convert categorical data into numerical format

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the name of the new model created after adding regressors?

M4

M3

M2

M1

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the default mode for incorporating regressors into the model?

Multiplicative

Additive

Seasonality

Linear

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