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.

- Linear, Multiple regression interview questions and answers – Set 1
- Linear, Multiple regression interview questions and answers – Set 2
- Linear, Multiple regression interview questions and answers – Set 3
- Linear, Multiple regression interview questions and answers – Set 4

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.

- Logistic regression practice test – Set 1
- Logistic regression practice test – Set 2
- Logistic regression practice test – Set 3

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)

- Linear Regression Cost Function: Python Example - December 2, 2023
- KNN vs Logistic Regression: Differences, Examples - December 2, 2023
- Linear Regression vs Logistic Regression: Differences - December 1, 2023

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