Renault-Nissan Data Scientist Interview Questions and Answers

Q1. Difference between Tuple and Dictionary
Ans. 
Tuple is an ordered collection of elements, while a dictionary is an unordered collection of key-value pairs.
• Tuples are immutable, while dictionaries are mutable.

• Tuples are accessed using indexing, while dictionaries are accessed using keys.

• Tuples are typically used to store related pieces of data, while dictionaries are used for mapping and lookups.
Answered by AI
Add your answer
Q2. What is Adjusted R square
Ans. 
Adjusted R square is a statistical measure that represents the proportion of variance in the dependent variable accounted for by the independent variables.
• Adjusted R square is an extension of R square, which measures the goodness of fit of a regression model.

• It takes into account the number of predictors in the model and adjusts for the degrees of freedom.

• Adjusted R square ranges from 0 to 1, where a higher value indic...read more
Answered by AI
Add your answer
Q3. Which is better Random forest or XG Boost
Ans. 
Both Random Forest and XG Boost are powerful machine learning algorithms, but their performance depends on the specific problem and data.
• Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.

• It is known for its ability to handle high-dimensional data and maintain good performance even with noisy or missing data.

• XG Boost, on the other hand, is a gradient boosting algorith...read more
Answered by AI
Add your answer
Q4. What is Max pooling
Ans. 
Max pooling is a pooling operation that selects the maximum value from a region of the input data.
• Max pooling is commonly used in convolutional neural networks (CNNs) for feature extraction.

• It reduces the spatial dimensions of the input data while retaining the most important features.

• Max pooling helps in achieving translation invariance, making the model more robust to variations in input position.

• For example, in a 2x...read more
Answered by AI
Add your answer

Q1. Questions on cloud computing
Add your answer

It was campus placement. We were givien the topic "future of AI and ML in automobile industry". The time given was around 15mins. The explained the process in great detail and very clearly.

Q1. CV and basic of ML
Add your answer
Q2. What if questions. For eg, if you want to launch a new EV in market then what will be your approach What if you are the CEO.. ETC
Add your answer

Q1. Ethical questions
Add your answer
Q2. Besic HR questions like why this company
Add your answer

Q1. On current project with which you are working.
Add your answer

Q1. General discussion.
Add your answer

Q1. Salary discussion.
Add your answer

Q1. Experience discussion
Add your answer

Experience related questions and some chemistry.

Q1. Experience discussion
Add your answer

Q1. Questions from basic Chemical Reaction Engineering and Fluid Dynamics Questions from projects PowerPoint presentation
Add your answer

Q1. Basic Chemical Engineering questions Project PowerPoint presentation
Add your answer

Q1. Importance of job Background
Add your answer

Q1. Introduction your self
Add your answer
Q2. What are the language you learned
Ans. 
I have learned multiple programming languages including Python, R, SQL, and Java.
• Python

• R

• SQL

• Java
Answered by AI
Add your answer

Q1. Difference between Tuple and Dictionary
Ans. 
Tuple is an ordered collection of elements, while a dictionary is an unordered collection of key-value pairs.
• Tuples are immutable, while dictionaries are mutable.

• Tuples are accessed using indexing, while dictionaries are accessed using keys.

• Tuples are typically used to store related pieces of data, while dictionaries are used for mapping and lookups.
Answered by AI
Add your answer
Q2. What is Adjusted R square
Ans. 
Adjusted R square is a statistical measure that represents the proportion of variance in the dependent variable accounted for by the independent variables.
• Adjusted R square is an extension of R square, which measures the goodness of fit of a regression model.

• It takes into account the number of predictors in the model and adjusts for the degrees of freedom.

• Adjusted R square ranges from 0 to 1, where a higher value indic...read more
Answered by AI
Add your answer
Q3. Which is better Random forest or XG Boost
Ans. 
Both Random Forest and XG Boost are powerful machine learning algorithms, but their performance depends on the specific problem and data.
• Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.

• It is known for its ability to handle high-dimensional data and maintain good performance even with noisy or missing data.

• XG Boost, on the other hand, is a gradient boosting algorith...read more
Answered by AI
Add your answer
Q4. What is Max pooling
Ans. 
Max pooling is a pooling operation that selects the maximum value from a region of the input data.
• Max pooling is commonly used in convolutional neural networks (CNNs) for feature extraction.

• It reduces the spatial dimensions of the input data while retaining the most important features.

• Max pooling helps in achieving translation invariance, making the model more robust to variations in input position.

• For example, in a 2x...read more
Answered by AI
Add your answer

Q1. Questions on cloud computing
Add your answer