A Practical Approach to Timeseries Forecasting Using Python - Future Predictions Using SARIMA

Interactive Video
•
Computers
•
9th - 10th Grade
•
Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of using date offsets in pandas?
To delete rows from a data frame
To create future dates based on a given offset
To modify the structure of a data frame
To sort data in a data frame
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do you specify the offset when creating future dates?
By setting the offset in days
By setting the offset in weeks
By setting the offset in years
By setting the offset in months
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in creating a future date data frame?
Sorting the data
Adding new columns
Getting the dates
Deleting old data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What should be ensured when creating a future date data frame?
It should have more rows than the existing data frame
It should have different columns from the existing data frame
It should have fewer rows than the existing data frame
It should have the same columns as the existing data frame
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of concatenating the future data frame with the existing data frame?
To prepare for predictions
To delete unnecessary data
To reduce the size of the data frame
To change the data type
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a method used for forecasting?
K-Means Clustering
ARIMA
Linear Regression
Decision Trees
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key consideration when choosing a forecasting model?
The model should be the simplest
The model should be the most complex
The model should fit the data best
The model should be the fastest to compute
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