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Machine Learning Interview Questions | Day 6

Welcome to the 6th Day of Machine Learning Interview Questions.
You can go through the question and answer for
Day 1
Day 2
Day 3
Day 4
Day 5

Machine Learning Interview Questions

In this series, all you need to do is to go through the questions and try to attempt it with whatever knowledge you have.

Before or after you attempt the questions, do go through the complete road map about what you need to study to crack an analytics role. We have covered from 3rd year college student to 8 years of analytics or non-analytic experience. Make sure you understand where to emphasize more(after all by the end of the day you want to crack an interview)

Complete Roadmap for cracking an Analytics Role in the next 30 days

Now, coming back to our questions. Remember, these are the most asked questions in any interview, if you are shy to answer the questions in the comment section, then do make sure to Google the answer and jot it down in your notebook.

Machine Learning Interview Questions

Following are the topic wise questions


  1. List the employees with names starting with N and containing 5 alphabets. Table name – Employee, columns – Name, emp_id
    Cover all the corner cases
  2. List the detail of all the employees whose salary is less than that of Aman
    Employee Table
    Columns – Employee_Name, Salary, Department


  1. When you don’t know how many arguments will be passed to a function, then you need to pass a variable number of arguments. Show by an example.

Case Study

  1. What are the main KPIs for OYO Rooms?
    Think on the lines of revenue, operations, inventory, supply, demand, and conversion

Machine Learning

  1. What is the chi-square test?
  2. Give an example of Normal Distribution from daily life.

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 that might be very useful for your preparation

The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews with 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

About TheDataMonkGrand Master

I am the Co-Founder of The Data Monk. I have a total of 6+ years of analytics experience 3+ years at Mu Sigma 2 years at OYO 1 year and counting at The Data Monk I am an active trader and a logically sarcastic idiot :)

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Comment ( 1 )

  1. SQL
    1. select name from employee
    where name like ‘N%’ or name like ‘n%’ and len(name)=5
    2. select employee_Name, Salary, Department from Employee
    where salary < (select salary from Employee where employee_Name = 'Aman')

    def function_name(*args) – can be used when we do not know how many arguments the function may receive.

    Case Study
    Problem Statement – List main KPIs for OYO rooms.
    Clarification question – Do we assume the definition of KPI as the usual one (Key Process Indicators), or is it something else?
    Solution (listing some I can think of) –
    1. revenue – % growth in partner hotels/properties, avg revenue per room/property, avg booking value.
    2. operations – No. of partner / non-zero revenue hotels currently, employee costs, property onboarding and customer acquisition costs, property management expenses.
    3. conversion – no. of bookings successfully made/cancelled/refunded, no. of new users onboarded, avg. customer score/ NPS, avg. occupancy rate in properties, avg stay duration.

    Machine Learning
    1. chi-squared test is used for checking relationship/independence between categorical variables. (Can you help me with a more elaborate and layman definition? This is all I know right now)
    2. the marks obtained by students of a particular grade across all schools, follow normal distribution.