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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 recurrent neural networks (RNNs), and how do they handle time-series data?
RELATED INTERVIEW QUESTIONS
What is the concept of Feature Extraction in computer vision analytics?
How do you deal with class imbalance in classification models?
PHP vs Python: Features, Differences and Benefits in 2025
Explain the difference between random forests and gradient boosting methods.
Explain the concept of ensemble methods and give examples of algorithms used in ensemble learning.
Explain how backpropagation works in training neural networks.
What is multi-objective optimization, and how does it differ from single-objective optimization?
What is the role of data imputation in handling missing data?
What is the significance of A/B testing in optimizing data-driven decisions?
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
What are the most important performance metrics for classification models?
What is the curse of dimensionality, and how does it impact data analysis?
How do you assess model accuracy when working with time-series data?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
What is feature selection, and how does it impact the model’s performance?
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