Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet: Code Preparation
Interactive Video
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Computers
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11th - 12th Grade
•
Practice Problem
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Hard
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10 questions
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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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