70 Regression Analysis Interview Questions & Practice Tests

0

This page lists down practice tests (questions and answers), links to PDF files (consisting of interview questions) on Linear / Logistic Regression for machine learning / data scientist enthusiasts. These questions can prove to be useful, especially for machine learning / data science interns / freshers / beginners to check their knowledge from time-to-time or for upcoming interviews.

Practice Tests on Linear / Multilinear Regression

These are a set of four practice tests (consisting of 40 questions) covering linear (univariate) and multilinear (multivariate) regression in detail.

Some of the following topics have been covered in these tests:

  • Introduction to linear, multilinear regression
  • Linear regression examples
  • Evaluation of linear / multilinear regression models and related techniques including t-test and ANOVA F-tests
  • Sum of squares calculations
  • Topics such as coefficient of determination, pearson correlation coefficient




Practice Tests on Logistic Regression

These are a set of three practice tests (consisting of 30 questions) covering logistic regression in detail.

Some of the following topics have been covered in these tests:

  • Introduction to logistic regression
  • Evaluation of logistic regression model and related techniques such as AIC, Deviance (Null and Residual), ROC curve etc.

Linear, Logistic Regression Interview Questions (PDF)

 

Ajitesh Kumar

Ajitesh Kumar

Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc.

He has also authored the book, Building Web Apps with Spring 5 and Angular.
Ajitesh Kumar

Leave A Reply

Time limit is exhausted. Please reload the CAPTCHA.