ARIMA interview questions | Day 7
Today is Day 6 and we will have 10 ARIMA interview questions for you. These ARIMA interview questions are of intermediate level and are asked very often in the interviews
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You can get previous days questions here
Day 1- Overview – https://thedatamonk.com/data-science-interview-question-day1/
Day 2- SQL – https://thedatamonk.com/sql-interview-questions/
Day 3- Joins in SQL –https://thedatamonk.com/joins-in-sql/
Day 4 – Statistics – https://thedatamonk.com/statistics-interview-question/
Day 5 – Machine Learning – https://thedatamonk.com/machine-learning-interview-question/
Day 6 – Forecasting – https://thedatamonk.com/forecasting-interview-questions/
ARIMA is a classic Time series algorithm which works on
Trend
Seasonality
Moving Average
Apart from ARIMA there are other similar and efficient algorithms like
– ARIMAX
– SARIMA
– Holt Winters
– Long Short Term Memory
These ARIMA interview questions will help you understand Time Series in a better way. If you think you know nothing about Time Series, then try to google it or you can find good blogs at Analytics vidhya as well.
This is one of those algorithms which will help you in a lot of Hackathons.
So, solve the following
R Squared error – https://thedatamonk.com/question/how-does-the-value-of-r-squared-and-adjusted-r-squared-error-change-when-you-add-new-variable-in-your-model/
Low R Squared error – https://thedatamonk.com/question/what-is-better-a-low-r-squared-or-a-high-r-squared/
p,d,q in ARIMA – https://thedatamonk.com/question/what-is-the-acceptable-value-range-for-pd-and-q-in-arima/
LSTM – https://thedatamonk.com/question/explain-long-short-term-memory-algorithm-in-brief/
Holt Winters – https://thedatamonk.com/question/explain-holt-winters-in-brief/
SARIMA – https://thedatamonk.com/question/what-is-sarima-and-how-is-it-different-from-arima/
ARIMAX vs ARIMA – https://thedatamonk.com/question/how-is-arimax-different-from-arima/
How to get value of p,d,q – https://thedatamonk.com/question/how-to-get-the-value-of-d-in-pdq-in-arima/
PACF graph – https://thedatamonk.com/question/how-to-read-pacf-graph/
ACF graph – https://thedatamonk.com/question/how-to-read-acf-graph-what-is-lag-in-acf-graph/
The Data Monk Interview Books – Don’t Miss
Now we are also available on our website where you can directly download the PDF of the topic you are interested in. At Amazon, each book costs ~299, on our website we have put it at a 60-80% discount. There are ~4000 solved interview questions prepared for you.
10 e-book bundle with 1400 interview questions spread across SQL, Python, Statistics, Case Studies, and Machine Learning Algorithms – Ideal for 0-3 years experienced candidates
23 E-book with ~2000 interview questions spread across AWS, SQL, Python, 10+ ML algorithms, MS Excel, and Case Studies – Complete Package for someone between 0 to 8 years of experience (The above 10 e-book bundle has a completely different set of e-books)
12 E-books for 12 Machine Learning algorithms with 1000+ interview questions – For those candidates who want to include any Machine Learning Algorithm in their resume and to learn/revise the important concepts. These 12 e-books are a part of the 23 e-book package
Individual 50+ e-books on separate topics
Important Resources to crack interviews (Mostly Free)
There are a few things which might be very useful for your preparation
The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews for Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics managers, etc.
Go through the watchlist which makes you uncomfortable:-
All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics
