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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are the differences between bagging and boosting in ensemble methods?
RELATED INTERVIEW QUESTIONS
How do you prevent model bias in machine learning algorithms?
What is the role of data normalization in machine learning?
What are the differences between deep learning and ensemble methods in predictive analytics?
What are the differences between bagging and boosting in ensemble methods?
How do you apply Shannon entropy in data analytics for feature selection?
What are support vector machines (SVM) and how do they classify data?
How does regularization help to reduce overfitting in machine learning models?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
How do you balance the trade-off between bias and variance in machine learning?
What are the common types of clustering algorithms, and how do you choose between them?
How do you assess model accuracy when working with time-series data?
How do support vector machines (SVM) work, and why are they used in classification problems?
Explain the difference between random forests and gradient boosting methods.
Explain how an ensemble learning method like Random Forest improves model performance.
What are decision trees, and how are they used in classification tasks?
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