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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
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
What is the bootstrap method, and how is it used for confidence interval estimation?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
Explain the concept of bias-variance tradeoff in machine learning.
What are the differences between Ridge and Lasso regression?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
Explain the concept of model overfitting and how can it be mitigated.
What is Bagging in machine learning, and how does it reduce overfitting?
How do you optimize the hyperparameters of machine learning algorithms?
What are the most important performance metrics for classification models?
How do you evaluate model performance when the dataset is small and unbalanced?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
How do you handle high-velocity data in real-time analytics applications?
What is an anomaly detection system, and how would you implement it in Python?
How do you handle categorical data in machine learning models?
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