- SQL & Python (Basics) * Basic questions on SQL Joins, Unions, Filtering, String & Date functions, Aggregate functions. * Basic user defined functions, visualizations, pandas functions - SQL (Advanced) * Queries using window functions (Row Number, Rank, Dense Rank), sub-queries in SQL to check approach and logic to solve a problem - Python (Advanced) + ML * user defined functions * Asked to explain one of the projects listed on my resume, few basic ML questions * Exploratory data analysis questions - Apti & HR * questions on Number series and puzzles, basic statistical questions. * HR questions on background, personality check questions, why analytics, why dhiOmics.
Machine Learning Scientist Interview Questions
510 machine learning scientist interview questions shared by candidates
In SQL questions were more related to window functions, joins, subqueries etc. In python questions were based on dataset filtering and visualization. In ML, questions were more related to concepts behind algorithms.(Linear regression, logistic regression etc)
Pruning of decision tree
Tell me about a data science project you have done
If there was a bag filled with x red, y blue and z yellow balls, what is the probability you will pick a yellow ball. (Represent solution in code)
- Retail Chain sales data analysis
Small python quiz, modern neural networks architectures, if I run JinaAI product (seems like a must)
Probabilities, leetcode hard questions, dimension curses
What is over fitting and overfitting? what kind of data is more prone to overfitting?
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