A Practical Approach to Timeseries Forecasting Using Python - Data Manipulation in Time Series

Interactive Video
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Computers
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9th - 10th Grade
•
Hard
Wayground Content
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which libraries are primarily discussed for data manipulation and processing?
seaborn and plotly
keras and pytorch
scikit-learn and tensorflow
pandas, numpy, and matplotlib
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of using matplotlib in data analysis?
Data collection
Data cleaning
Data visualization
Data storage
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which type of plot is NOT mentioned in the basic visualization section?
Line graph
Scatter plot
Area plot
Histogram
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the significance of data representation in machine learning?
It helps in data storage
It reduces data size
It ensures data is ready for machine learning
It speeds up data processing
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Before starting time series forecasting, what must be ensured about the data?
Data is collected from multiple sources
Data is visualized using pie charts
Data is stored in a database
Data is well-represented
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