LG Electronics Data Scientist Interview Questions and Answers

Q1. Exptected salary
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Q2. What do you expect for work
Ans. 
I expect challenging projects, opportunities for growth, collaborative team environment, and work-life balance.
• Challenging projects that allow me to apply my data science skills and learn new techniques

• Opportunities for growth and advancement within the company

• Collaborative team environment where I can share ideas and work together towards common goals

• Work-life balance to ensure I can perform at my best both profession
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Topic was joining and calculating

Q1. Explain xgboost
Ans. 
XGBoost is a popular machine learning algorithm known for its speed and performance in gradient boosting.
• XGBoost stands for eXtreme Gradient Boosting.

• It is an implementation of gradient boosted decision trees designed for speed and performance.

• XGBoost is widely used in machine learning competitions and has become a popular choice for data scientists.

• It can handle missing data and is optimized for parallel processing.

• XG...read more
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Q2. Explain decision tree
Ans. 
Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.
• Decision tree is a supervised learning algorithm used for classification and regression tasks.

• It breaks down a dataset into smaller subsets based on different attributes.

• Each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome...read more
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Q1. Data science basics fundamental questions
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Q1. Data science project based
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Q1. Behavioural project based and technical
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Q1. Motivation, behavioral and informative
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I was asked to solve various problems (your typical algorithm and data structure subjects), as well as explain the various projects I worked on in my most recent position.

Divide candidates in a group of around 15 people, and put you through different activities such as role play exercises to measure your communication and team working skills.

Q1. Interview questions were mostly based on basic SQL and python queries
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Q1. Question were asked on machine learning algorithms. There were few questions related to deep learning and image processing.Interviewer has asked me write live code on some moderate level DSA question.
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Q1. Questions related to Python , ML, Deep Learning and resume based questions
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Q1. Project related
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Q1. Usual HR questions
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Q1. Describe a decision tree
Ans. 
A decision tree is a flowchart-like model that shows the possible outcomes of a decision based on certain conditions.
• It is a tree-like structure with nodes representing decisions and branches representing outcomes

• Each node has a condition that determines which branch to follow

• It is commonly used in machine learning for classification and regression tasks

• Example: A decision tree for predicting whether a customer will bu...read more
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Q2. What is random forest
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Random forest is an ensemble learning method for classification, regression and other tasks.
• Random forest builds multiple decision trees and combines their outputs to improve accuracy.

• It is a popular machine learning algorithm due to its high accuracy and ability to handle large datasets.

• Random forest can be used for both classification and regression tasks.

• It is resistant to overfitting and can handle missing data.

• Exa...read more
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Q3. What is neural network
Ans. 
Neural network is a type of machine learning algorithm inspired by the structure and function of the human brain.
• Consists of layers of interconnected nodes that process information

• Used for tasks such as image recognition, natural language processing, and prediction

• Can be trained using supervised, unsupervised, or reinforcement learning

• Examples include convolutional neural networks, recurrent neural networks, and deep n
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Leetcode style coding