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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 overfitting and underfitting affect the performance of a machine learning model.
RELATED INTERVIEW QUESTIONS
Explain how latent variable models work in data analytics.
What is the role of data enrichment in data analytics, and how is it achieved?
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
What are the main differences between batch processing and real-time processing in data analytics?
What is dimensionality reduction, and how does it improve model performance?
How do you apply nearest neighbor algorithms for recommendation systems?
How do you handle outliers in time-series data?
How do you deal with skewed data in regression models?
How do you evaluate the effectiveness of an outlier detection model?
How would you apply cross-validation techniques in a deep learning model?
What are the advantages of using XGBoost over other machine learning algorithms?
What is Principal Component Analysis (PCA) used for in data reduction?
How do you implement supervised learning for predictive modeling in healthcare analytics?
What is the accuracy paradox and how does it affect model evaluation?
What is the difference between deterministic and stochastic models in analytics?
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