Philips Innovation Campus Data Scientist Interview Questions and Answers

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. 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. Basics of regression, bias variance
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2 leetcode easy questions were asked

Data science case study

Q1. Why would you join us
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Q1. Different type od joins
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Different types of joins are used in SQL to combine rows from two or more tables based on a related column between them.
• INNER JOIN: Returns rows when there is at least one match in both tables.

• LEFT JOIN (or LEFT OUTER JOIN): Returns all rows from the left table, and the matched rows from the right table.

• RIGHT JOIN (or RIGHT OUTER JOIN): Returns all rows from the right table, and the matched rows from the left table.

• FUL...read more
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Q2. Python assessment question
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