A Practical Approach to Timeseries Forecasting Using Python - Data Preparation
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Information Technology (IT), Architecture, Social Studies, Mathematics
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University
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Hard
13:53
10 questions
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1.
Multiple Choice
Why is data preprocessing crucial in machine learning?
It reduces the need for algorithms.
It increases the size of the dataset.
It ensures the data is clean and structured.
It helps in visualizing the data.
2.
Multiple Choice
What is the primary reason for checking stationarity in time series data?
To ensure the data is normally distributed.
To apply machine learning algorithms effectively.
To increase the data size.
To reduce computation time.
3.
Multiple Choice
Which library is NOT mentioned as important for time series analysis?
NumPy
Pandas
Matplotlib
Scikit-learn
4.
Multiple Choice
What is the purpose of setting the date column as an index in a data frame?
To increase data security.
To remove duplicate entries.
To perform time series analysis.
To sort the data alphabetically.
5.
Multiple Choice
What does a lag of 1 in time series data imply?
The data is shifted by one hour.
The data is shifted by one month.
The data is shifted by one day.
The data is shifted by one year.
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