Corner Stone Solution Data Scientist Intern Interview Questions and Answers for Experienced

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

• Collect data on the variables of interest

• Plot the data to visualize the relationship between the variables

• Choose a suitable linear regression model (simple or multiple)

• Fit the model to the data using a regression algorithm (e.g. least squares)

• Evaluate the model's performance using ...read more

Linear Regression minimizes noise by fitting a line that best represents the relationship between variables.

• Linear Regression minimizes the sum of squared errors between the actual data points and the predicted values on the line.

• It assumes that the noise in the data is normally distributed with a mean of zero.

• Outliers in the data can significantly impact the regression line and its accuracy.

• Regularization techniques l...read more

Use linear algebra to solve for coefficients in two equations.

• Set up the two equations with unknown coefficients

• Solve the equations simultaneously using methods like substitution or elimination

• Example: 2x + 3y = 10 and 4x - y = 5, solve for x and y