Mondelez International Data Scientist 2 Interview Questions and Answers

Sample data for market clustering was provided.

Q1. Scenario Based model selection for price optimisation
Add your answer
Q2. Advantages and disadvantages of encoder decoder based models
Ans. 
Encoder-decoder models are popular in sequence-to-sequence tasks, with advantages like flexibility and disadvantages like potential information loss.
• Advantages: flexibility in handling variable length inputs/outputs, ability to learn complex patterns, widely used in machine translation tasks (e.g. Google Translate)

• Disadvantages: potential information loss during encoding/decoding process, difficulty in capturing long-r
Answered by AI
Add your answer

Q1. Questions on Generative AI models
Add your answer

Q1. What is confusion matrix
Ans. 
Confusion matrix is a table used to evaluate the performance of a classification model.
• It is a matrix with rows representing the actual classes and columns representing the predicted classes.

• It helps in visualizing the performance of a classification model by showing the counts of true positive, true negative, false positive, and false negative predictions.

• It is commonly used in machine learning to assess the accuracy ...read more
Answered by AI
Add your answer
Q2. What is r2 and adjusted r2 and their differenec
Ans. 
r2 and adjusted r2 are metrics used to evaluate the goodness of fit of a regression model.
• r2 (R-squared) measures the proportion of the variance in the dependent variable that is predictable from the independent variables.

• Adjusted r2 is a modified version of r2 that adjusts for the number of predictors in the model, providing a more accurate assessment of the model's goodness of fit.

• r2 always increases when adding more...read more
Answered by AI
Add your answer

Q1. Gini Coefficient in Random Forest
Ans. 
The Gini coefficient is used in Random Forest to measure the impurity of a node.
• Gini coefficient is a measure of impurity in a node of a decision tree in Random Forest.

• It ranges from 0 (pure node) to 0.5 (impure node).

• Random Forest uses Gini coefficient to decide how to split nodes during the tree building process.
Answered by AI
Add your answer
Q2. Random Forest, Bagging and Boosting
Add your answer

Q1. General Discussion around projects
Add your answer

Q1. Joining Formalities
Add your answer