Diageo Interview Questions, Process, and Tips

Autocorrelation is a statistical concept that measures the relationship between a variable's current value and its past values.

• Autocorrelation is the correlation of a signal with a delayed copy of itself.

• It is used to detect patterns or trends in time series data.

• Positive autocorrelation indicates a positive relationship between current and past values, while negative autocorrelation indicates a negative relationship.

• F...read more

Linear regression assumptions include linearity, independence, homoscedasticity, and normality.

• Assumption of linearity: The relationship between the independent and dependent variables is linear.

• Assumption of independence: The residuals are independent of each other.

• Assumption of homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

• Assumption of normality: The resid...read more

P value is a measure used in hypothesis testing to determine the significance of the results.

• P value is the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.

• A small P value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.

• A large P value (> 0.05) suggests weak evidence against the null hypothesis, lead...read more

Methods for evaluating machine learning models include accuracy, precision, recall, F1 score, ROC curve, and confusion matrix.

• Accuracy: measures the proportion of correct predictions out of the total predictions made by the model.

• Precision: measures the proportion of true positive predictions out of all positive predictions made by the model.

• Recall: measures the proportion of true positive predictions out of all actual...read more

Standard deviation is a measure of the amount of variation or dispersion of a set of values.

• Standard deviation is calculated as the square root of the variance.

• It indicates how spread out the values in a data set are around the mean.

• A low standard deviation means the values are close to the mean, while a high standard deviation means the values are more spread out.

• For example, in a data set of test scores, a high stand...read more

I have a Bachelor's degree in Mechanical Engineering from XYZ University.

• Bachelor's degree in Mechanical Engineering

• Graduated from XYZ University

• Specialized in XYZ field

Yes, I have basic knowledge about beer and wine making processes.

• I am familiar with the fermentation process involved in beer and wine making.

• I understand the importance of yeast in the fermentation process.

• I know the basic ingredients used in beer and wine making such as hops, malt, grapes, etc.

• I am aware of the different types of beer and wine and their unique characteristics.