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Machine Learning Interview Questions | Day 9

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 – http://thedatamonk.com/data-science-interview-question-day1/
Day 2- SQL – http://thedatamonk.com/sql-interview-questions/
Day 3- Joins in SQL –http://thedatamonk.com/joins-in-sql/
Day 4 – Statistics – http://thedatamonk.com/statistics-interview-question/
Day 5 – Machine Learning – http://thedatamonk.com/machine-learning-interview-question/
Day 6 – Forecasting – http://thedatamonk.com/forecasting-interview-questions/
Day 7 – ARIMA – http://thedatamonk.com/arima-interview-questions/
Day 8 – Python – http://thedatamonk.com/python-interview-questions/

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

Try to answer all these questions by yourself or with the help of google 😛

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

Connect with me on Linkedin for latest updates and Data Science e-books giveaways- https://www.linkedin.com/in/nitin-kamal-a2841a80/

Our Linkedin Page for latest updates and giveaways- https://www.linkedin.com/company/14573769

Keep Learning 🙂

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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