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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 regression models?
RELATED INTERVIEW QUESTIONS
Explain the concept of a precision-recall curve and when to use it.
What is Collaborative Filtering, and how is it used in building recommendation systems?
What are the major differences between SQL and NoSQL databases in data analytics?
What is the role of decision trees in building interpretable machine learning models?
How do you balance the trade-off between bias and variance in machine learning?
What is the role of unsupervised learning in anomaly detection?
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
What are the most important performance metrics for classification models?
What are the key differences between a decision tree and a random forest?
How do you perform feature importance analysis for model interpretability?
How do you detect data imbalances in a classification problem and address them?
What are the common types of clustering algorithms, and how do you choose between them?
What is reinforcement learning, and where is it applied in business analytics?
How do you handle multicollinearity in regression models?
How do you handle high-dimensional data and reduce the risk of overfitting?
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