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Machine Learning

Time Series Analysis and Forecasting

Interview questions on Time Series Analysis and Forecasting.

9 questions

All subtopics Introduction Time Series Graphics Time Series Decomposition Benchmark Forecasting Methods Time Series Regression Models Exponential Smoothing ARIMA Models Dynamic regression models Prophet Model Vector Autoregressions

Introduction

Q1. What is forecasting?

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Introduction

Q2. What do you mean by time series?

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Introduction

Q3. State the difference between univariate and multivariate time series?

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Introduction

Q4. Define following terms:

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Short-term forecasts
Medium-term forecasts
Long-term forecasts

Introduction

Q5. List down factors on which predictability of an event or quantity depends?

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Introduction

Q6. Is it correct to assume that forecasts are not possible in a changing environment?

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Introduction

Q7. How would you approach forecasting if there is no available data, or if the data you have is not relevant to the forecasts?

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Introduction

Q8. When can we use Quantitative methods for forecasting use-cases?

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Introduction

Q9. State the difference between exogenous and endogenous variables?

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