Expleo Group Data Scientist Interview Questions and Answers

Q1. Data science related areas
Add your answer

Case study related to semantic search

Q1. Questions based on case study
Add your answer

Basic coding in python and getting setting data using pandas

Understanding ML fundamentals and python understanding

Q1. Offer was given
Add your answer

The first was a mcq based coding round for campus placement

This was a pairing coding round

Q1. Explain different unsupervised algo
Ans. 
Unsupervised algorithms are used to find patterns in data without labeled outcomes.
• K-means clustering: partitions data into K clusters based on similarity

• Hierarchical clustering: creates a tree of clusters based on similarity

• Principal Component Analysis (PCA): reduces dimensionality by finding orthogonal components

• Association rule mining: discovers interesting relationships between variables in large datasets
Answered by AI
Add your answer

Q1. How to treat multicollinearity, imbalanced dataset
Ans. 
Multicollinearity can be treated by using techniques like feature selection, PCA, or regularization. Imbalanced datasets can be addressed by resampling techniques like oversampling or undersampling.
• For multicollinearity, consider using techniques like feature selection to remove redundant variables, PCA to reduce dimensionality, or regularization like Lasso or Ridge regression.

• For imbalanced datasets, try resampling te...read more
Answered by AI
Add your answer

Q1. Logistic regression in detail
Ans. 
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
• Logistic regression is used when the dependent variable is binary (0/1, True/False, Yes/No, etc.)

• It estimates the probability that a given observation belongs to a particular category.

• The output of logistic regression is a probability score between 0 and 1.

• It uses the logistic function...read more
Answered by AI
Add your answer
Q2. Project related questions based on Machine learning
Add your answer

Q1. Concepts and tools
Add your answer

Coding on the tools we use

Q1. Not cleared the round
Add your answer

Basic coding in python and getting setting data using pandas

Understanding ML fundamentals and python understanding

Q1. Offer was given
Add your answer