When have you worked with a messy dataset and how did you handle it?
Intern Data Scientist Interview Questions
3,790 intern data scientist interview questions shared by candidates
Round 3: Technical ML interview with questions on different algorithms, over fitting, under fitting, time series modeling etc..
Coding the Manhattan and Euclidean distances between two n dimensional points
Name a time you made a mistake.
Why you choose shopee and what other firms do you apply?
how would you do project differenlty if given more time
jkk 1. What is linear regression? Explain steps for modelling 2. What do you mean by R square and adjusted R square? 3. What is logistic regression? Explain steps for modelling 4. Forecasting methods like time series, ARIMA etc. 5. Basics of Tableau 6. Basic SQL queries 7. libraries of python and basic coding skills (hardly any questions related to this are asked) 8. Any analytics projects you have worked on or competitions you have participated in?
Which of the following proposition is true
Precision vs Recall, Type 1- type 2 error, assumptions of linear regression, why do we use big data, How use SVM for multiclass, how to deal with data imbalance, F statistic, F test, t test, Degree of freedom of linear regression model, Lasso vs ridge regression
1. How can you deploy a machine learning model? 2. Use cases of decision trees and matrix 3. The difference between R-square and adj R square
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