Ernst & Young Data Scientist Staff Interview Questions and Answers

Combination logic on python

Q1. Explain classification
Ans. 
Classification is a machine learning technique used to categorize data into different classes or categories based on past observations.
• Classification involves training a model on labeled data to predict the class of new, unseen data points.

• Common algorithms for classification include logistic regression, decision trees, support vector machines, and k-nearest neighbors.

• Examples of classification tasks include spam email...read more
Answered by AI
Add your answer

Q1. What is stemming and lematization
Ans. 
Stemming and lemmatization are techniques used in natural language processing to reduce words to their base or root form.
• Stemming is a process of reducing words to their base form by removing suffixes.

• Lemmatization is a process of reducing words to their base form by considering the context and part of speech.

• Stemming is faster but may not always produce a valid word, while lemmatization is slower but produces valid wo...read more
Answered by AI
Add your answer
Q2. Python coding about default values in class and funtions
Add your answer
Q3. Kmeans clustering evaluation
Add your answer
Q4. How to measure multicollinearity
Ans. 
Multicollinearity can be measured using correlation matrix, variance inflation factor (VIF), or eigenvalues.
• Calculate the correlation matrix to identify highly correlated variables.

• Use the variance inflation factor (VIF) to quantify the extent of multicollinearity.

• Check for high eigenvalues in the correlation matrix, indicating multicollinearity.

• Consider using dimensionality reduction techniques like principal componen
Answered by AI
Add your answer

It had python based questions

It had ml based questions

Machine Learning, Metrics

Q1. 1. What is the role of beta value in Logistic regression? 2. What is bias variance trade off? 3. How did you decide on the list of variables that would be used in a model?
Ans. 
Beta value in logistic regression measures the impact of independent variables on the log odds of the dependent variable.
• Beta value indicates the strength and direction of the relationship between the independent variables and the log odds of the dependent variable.

• A positive beta value suggests that as the independent variable increases, the log odds of the dependent variable also increase.

• A negative beta value sugges...read more
Answered by AI
Add your answer

1. You are the data scientist of a digital store. You have to recommend top 10 products to a customer. What variables and techniques will you use to recommend the top 10 products?

Simple Data Science Case Study

Q1. Python knowledge related questions
Add your answer

Data Science Case Study

Q1. Asked questions regarding my current role and responsibilities
Add your answer

Q1. Lots of questions related to Data Science coding test
Add your answer

Q1. Taken two rounds of test to check cultural and team fitment.
Add your answer

Q1. ML, DL, Data Science, Python
Add your answer

Q1. AI,ML, Data Science, Use cases
Add your answer