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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 principal component analysis (PCA) works for dimensionality reduction.
RELATED INTERVIEW QUESTIONS
Explain the concept of hyperparameter tuning and its role in model optimization.
How would you evaluate model performance in an imbalanced dataset problem?
How does feature scaling improve the convergence of gradient descent algorithms?
What is the K-nearest neighbors algorithm, and when would you use it?
How do you balance the trade-off between bias and variance in machine learning?
Explain the role of backpropagation in training neural networks.
How does bootstrapping improve model accuracy in statistical analysis?
What is multi-objective optimization, and how does it differ from single-objective optimization?
PHP vs Python: Features, Differences and Benefits in 2025
What is the importance of data privacy in analytics, and how do you ensure compliance?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
What is regression analysis, and how do you apply it in business analytics?
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
What is XGBoost, and how does it differ from other boosting algorithms?
Explain data leakage and how to prevent it in machine learning models.
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