A Practical Approach to Timeseries Forecasting Using Python - Feature Engineering

Interactive Video
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Computers
•
10th - 12th Grade
•
Hard
Wayground Content
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7 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is feature engineering and how does it relate to time series data?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the significance of handling missing values and outliers in feature engineering?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe the process of extracting day, month, and year from a date in a dataset.
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the importance of resetting the index in a dataset.
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
How can you ensure that a column in your dataset has a maximum of three decimal places?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
What are some numerical transformations that can be performed on a dataset?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
Discuss the concept of stationarity in time series analysis.
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