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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
How do you evaluate model robustness to different types of input data?
RELATED INTERVIEW QUESTIONS
Explain the concept of data wrangling and its importance in data analytics.
Explain the difference between bagging and boosting techniques.
How do you detect data imbalances in a classification problem and address them?
What is the importance of heteroscedasticity in regression models?
What is the role of data governance in an organization’s analytics framework?
How do you perform feature importance analysis for model interpretability?
How does ensemble learning work, and when should it be applied?
How would you perform data aggregation for summarizing large datasets?
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
What is time-series analysis, and what techniques do you use for it?
What is the difference between precision and accuracy in the context of classification problems?
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
What is the curse of dimensionality, and how does it impact data analysis?
How do you handle and process categorical data in machine learning algorithms?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
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