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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
Explain how an ensemble learning method like Random Forest improves model performance.
RELATED INTERVIEW QUESTIONS
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
Explain the concept of hyperparameter tuning and its role in model optimization.
Explain the concept of a data pipeline and its components in an analytics workflow.
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
How do you deal with skewed data in regression models?
How do you optimize the performance of an algorithm when the dataset size is enormous?
How would you perform data aggregation for summarizing large datasets?
What are the advantages of using XGBoost over other machine learning algorithms?
What are the major differences between SQL and NoSQL databases in data analytics?
What is the role of decision trees in building interpretable machine learning models?
How do you perform dimensionality reduction, and why is it essential in machine learning?
What are the ethical considerations when analyzing customer data in analytics?
What are the differences between Ridge and Lasso regression?
What is the role of natural language processing in analyzing customer feedback?
What is the role of data governance in an organization’s analytics framework?
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