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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
RELATED INTERVIEW QUESTIONS
How do you apply gradient descent in training deep neural networks?
How do you apply Shannon entropy in data analytics for feature selection?
How do you deal with skewed data in regression models?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
What is the role of Markov chains in predictive analytics for customer behavior?
Explain the difference between random forests and gradient boosting methods.
What is the role of data governance in an organization’s analytics framework?
How do you assess the impact of outliers in your data and model predictions?
What is the role of Bayesian methods in data analytics, and how do they compare to frequentist approaches?
What are the most important performance metrics for classification models?
What are data imputation techniques, and how are they used for handling missing data?
What are time-series cross-validation techniques, and how are they applied in forecasting?
What are the common pitfalls when working with real-time data in analytics?
What is dimensionality reduction, and how does it improve model performance?
What is an anomaly detection system, and how would you implement it in Python?
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