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Learn Prophet Data Science Tutorial, validate concepts with Prophet Data Science MCQ Questions, and prepare interviews through Prophet Data Science Interview Questions and Answers.
Prophet Q&A
1What is Prophet?
Answer: Forecasting library for business time series with trend and seasonality.
2Core model components?
Answer: Trend, seasonality, holidays/events, and noise.
3Data format required?
Answer: Columns: ds (datetime) and y (target).
4How Prophet handles seasonality?
Answer: Built-in yearly/weekly/daily patterns plus custom seasonality.
5How include holidays?
Answer: Provide holiday dataframe to model special effects.
6What are changepoints?
Answer: Times where trend slope can shift.
7Prophet vs ARIMA?
Answer: Prophet is easier for business seasonality/holidays; ARIMA is classical statistical baseline.
8Can Prophet use extra regressors?
Answer: Yes, additional predictors can be added.
9Common Prophet pitfall?
Answer: Ignoring data quality and unrealistic future regressor assumptions.
10One-line summary?
Answer: Prophet enables fast, interpretable forecasting for business time series.