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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
RELATED INTERVIEW QUESTIONS
Explain the concept of Markov Chains and its use in data modeling.
How would you analyze customer churn using data analytics?
Explain how backpropagation works in training neural networks.
How does feature scaling improve the convergence of gradient descent algorithms?
What is the curse of dimensionality, and how does it impact data analysis?
What are the major differences between SQL and NoSQL databases in data analytics?
What are the best practices to ensure model interpretability and explainability?
How do you handle heteroscedasticity in regression models?
How does ensemble learning work, and when should it be applied?
What is the significance of data encryption in data privacy and analytics?
How would you visualize high-dimensional data using dimensionality reduction techniques?
What is stratified sampling, and when should it be used in machine learning?
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How does deep reinforcement learning work, and where can it be applied in business analytics?
How do you balance the trade-off between bias and variance in machine learning?
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