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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 linear programming, and how does it relate to data optimization problems?
RELATED INTERVIEW QUESTIONS
What is XGBoost, and how does it differ from other boosting algorithms?
What is dimensionality reduction, and how does it improve model performance?
What is recurrent neural network (RNN), and how is it different from traditional neural networks? In what kind of problems would you apply
How do you handle multicollinearity in regression models?
What is the role of Bayesian methods in data analytics, and how do they compare to frequentist approaches?
How do you ensure that your analysis is unbiased when working with large datasets?
Explain the role of backpropagation in training neural networks.
What is tuning in machine learning, and how do you apply it to hyperparameters?
How do you evaluate model performance when the dataset is small and unbalanced?
What is the ROC-AUC curve, and how do you interpret it?
How do you analyze multi-class classification problems with machine learning?
Explain the concept of Big Data and its challenges in the context of data analytics.
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
How do you deal with class imbalance in classification models?
How do you identify and resolve data leakage in machine learning models?
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