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Listening Quiz: Đề Xuất Một Thư Viện Python Để Dự Báo Chuỗi Thời Gian – Easy Level
Th4 27, 2024
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà khoa học dữ liệu (English for Data Scientist)
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1.
What is the conversation mainly about?
Comparing different math formulas for data analysis
Recommending a Python library for forecasting time series
Discussing why monthly data is harder to predict
Explaining how to install Python on a computer
Explanation:
William recommends Prophet as a Python library for time series forecasting and explains what it does and how to start using it.
2.
According to William, what does Prophet do?
It creates monthly reports automatically
It cleans up missing files in a dataset
It helps forecast future data points from past data
It teaches users advanced math concepts
Explanation:
William says Prophet helps forecast future data points from past data.
3.
What does William say about Prophet and data frequency?
It works well with both daily and monthly data
It cannot be used for regularly spaced data
It only works with daily data
It only works with monthly data
Explanation:
William states that Prophet works well with both daily and monthly data.
4.
What does William say about the math required to use Prophet?
Users need to know a lot of math
Users must write all the math themselves
Prophet is user-friendly and does most math for the user
Math knowledge is unnecessary for programming
Explanation:
William says Prophet is user-friendly and does most math for you.
5.
What does William suggest Emma do to start using Prophet?
Install it with pip and read the official guide
Ask a colleague to write the code for her
Read a textbook on statistics first
Wait until she learns monthly forecasting theory
Explanation:
William directly says to install Prophet with pip and read the official guide.
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