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Forecasting Interview Questions | Day 6

Forecasting is one of the popular domains in Data Science. If you are exploring Data Science then you should definitely look into this domain.
Today is Day 6 and we will have 10 Forecasting interview questions for you. These forecasting interview questions are of intermediate level and are asked very often in the interviews

Before we get started, do create your profile on the website. The โ€˜Loginโ€™ area is at your extreme left ๐Ÿ™‚

You can get previous days questions here

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Forecasting interview questions
Forecasting using Telescope

There are multiple ways to do forecasting, you can use Linear Regression, You can use XGBoost, or any other regression algorithm.
Today we will concentrate on ARIMA time series model. If you are completely unfamiliar of Time Series or ARIMA model, then comment your email id below and I will send you a book ‘Master Forecasting in R’

Following are the 10 Forecasting interview Questions

Forecast Number of Pizzas(Case Study Hike Messenger) –
Degree of Freedom –
ARIMA in simplest terms –
ADF Test for Time Series –
Cyclicity and Seasonality-
Seasonality –
Trend –
ARIMA sample code –

In order to practice more courses on Data Science, we definitely recommend Data Camp

Practice all the questions posted over here, try to make sure that you attempt the questions. we evaluate answers every now and then and provide particular feedback on your performace

If you want any guidance or want to make a career in Data Science, then you can take a look on our proposed Data science path

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Keep Learning ๐Ÿ™‚

The Data Monk

About TheDataMonkMaster

I am the Co-Founder of The Data Monk. I have a total of 4+ years of analytics experience with 3+ years at Mu Sigma and 1 year at OYO. I am an active trader and a logically sarcastic idiot :)

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Comments ( 5 )

  1. Please send me the master forecasting with R material

  2. Please send me the master forecasting with R material

  3. Please send me this e – book on the below mentioned email id:

  4. please send me the ebook of forecasting mail –

  5. Hey! Please mail me the book of forecasting .

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