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I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
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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...
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...
I applied via Referral and was interviewed in May 2022. There were 3 interview rounds.
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