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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
Explain the concept of ensemble methods and give examples of algorithms used in ensemble learning.
RELATED INTERVIEW QUESTIONS
Explain the concept of gradient boosting and its advantages over traditional decision trees.
What is the significance of hypothesis testing in data analysis?
How would you handle an imbalanced dataset in a classification problem?
What is the difference between segmentation and clustering in data analytics?
Explain how data integrity is maintained in a multi-source data environment.
Explain how latent variable models work in data analytics.
What is the F1-score in classification tasks, and why is it important?
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Explain the concept of ensemble learning and its applications in classification and regression problems.
How do you perform outlier detection in data analytics?
How would you measure the impact of an analytics model in a business setting?
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