Machine Learning Interview Questions – Updated 2022

Today is Day 9 and we will try to solve the top 10 Machine Learning Interview questions. These questions will revolve around statistics and algorithms with a couple of questions

Before we get started, do create your profile on the website. The ‘Login’ area is at your extreme left ?

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/
Day 7 – ARIMA – https://thedatamonk.com/arima-interview-questions/
Day 8 – Python – https://thedatamonk.com/python-interview-questions/

Machine Learning Interview Questions

These questions will not take more than 20 minutes to answer, but if you are able to find solution to these questions and jot it down in the comment box then you will surely be able to answer these in the interviews.

So, Start answering 🙂

Trade of between Bias and Variance – https://thedatamonk.com/question/what-is-the-trade-off-between-bias-and-variance/
Supervised vs Unsupervised Algorithms – https://thedatamonk.com/question/supervised-and-unsupervised-difference/
Explain any algorithm in less than 1 minute – https://thedatamonk.com/question/explain-your-favourite-ml-algorithm-in-less-than-a-minute/
Missing Value Treatment – https://thedatamonk.com/question/what-to-do-if-one-of-my-column-with-integer-value-is-having-more-than-30-missing-values/
F1 score – https://thedatamonk.com/question/whats-the-f1-score/
Overfitting in a model – https://thedatamonk.com/question/how-do-you-ensure-youre-not-overfitting-with-a-model/
Evaluation of Logistic Regression model – https://thedatamonk.com/question/how-would-you-evaluate-a-logistic-regression-model/
Variable identification- https://thedatamonk.com/question/i-have-10-independent-variable-how-to-identify-the-important-variable-for-my-linear-regression-model/
SQL most asked output question – https://thedatamonk.com/question/sql-output-interview-question/
Low Bias High Variance Question – https://thedatamonk.com/question/low-bias-high-variance/

The Data Monk e-books

Tired of online courses costing 2 to 8 lakh and taking more than a year to complete?
Tired of going through 500+ hours of videos at a super slow pace?
We at The Data Monk believe that you have to start and complete things as quickly as possible. We believe in a target-based study where we break a topic into 100 questions and make sure that if you cover these questions you will surely be able to crack the interview questions. Rest all theory and practical can ONLY be learned while working in an organization.

Pick any of our books from our e-shop page and complete it in 6-8 hours, learn the 100 questions and write it in your resume. We guarantee you that you will nail 8 out of 10 interviews

We also have 3 bundles at a price that is affordable to everyone. We are a group of people placed in best of the product-based companies and we take 100+ interviews per week. Do we know what is being asked and what is not? So, just grab any of the following book bundles and give not more than 30 days to LEARN all the questions. We guarantee you that you will become a very strong candidate in any analytics interview

Set A – [3rd/4th year/ and 0 to 3 years of experience]

Crack any analytics or data science interview with our 1400+ interview questions which focus on multiple domains i.e. SQL, R, Python, Machine Learning, Statistics, and Visualization. – https://thedatamonk.com/product/books-to-crack-analytics-interview/

Set B – [0-5 Years of Experience]

1200+ Interview Questions on all the important Machine Learning algorithms (including complete Python code) Ada Boost, CNN, ANN, Forecasting (ARIMA, SARIMA, ARIMAX), Clustering, LSTM, SVM, Linear Regression, Logistic Regression, Sentiment Analysis, NLP, K-Mean – https://thedatamonk.com/product/machine-learning-interview-questions/

Set C – [0-7 Years of Experience]

2000+ interview questions that include 100 questions each on 12 most asked Machine Learning Algorithms, Python, Numpy and Pandas – 300 Interview Questions, Pandas,PCA,AWS,Data Preprocessing,Case Studies, and many more
https://thedatamonk.com/product/the-data-monk-e-book-bundle/

Note – Set C contains all the questions of Set B

Youtube Channel – The Data Monk

Unlike any other youtube channel, we do not teach basic stuff, we teach only topics that are asked in interviews. If the interviewer asks about p-value, we will have a video on that topic,
If the interviewer is interested in asking the sequence of execution of SQL commands then we will give you an overview of all the commands but stress so much on the question that can answer it comfortably in the interview. We definitely recommend you to follow our youtube channel for any topic that you are interested in or weak at.

If you wish to get all the study material and topics to cover for an interview at one place, then you can subscribe to our channel. We have covered the complete syllabus of
Get all the youtube videos playlist on our youtube Channel – The Data Monk

Code in Python for Data Science – Understand one algorithm at a time in 30 minutes (theory and python code)
Company-wise Data Science Interview Questions – 15 videos on how to crack analytics interview
Complete Numpy Tutorial – 14 videos on all the functions and questions on Numpy
Complete Python Pandas Tutorial – 15 videos to completely cover Pandas
SQL Complete Playlist – 20 highly recommended videos to cover all the interview questions
Case Study and Guesstimates Complete Playlist –  Real-life interview case study asked in 2021
Statistics– 10 videos to completely cover Statistics for interviews

Lastly,
If you are in dire need of any help, be it book-wise or guidance-wise, then you can definitely connect with me on Linkedin. We will try to help as much as possible