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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
What is the curse of dimensionality and how does it affect machine learning models?
Explain data leakage and how to prevent it in machine learning models.
What is data normalization, and why is it important in machine learning?
What is the role of data normalization in machine learning?
How do you balance the trade-off between bias and variance in machine learning?
How do you deal with skewed data in regression models?
Explain how you would deal with missing data in a large dataset.
How do you handle high-cardinality categorical features in machine learning models?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
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What are data imputation techniques, and how are they used for handling missing data?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
What are the differences between Ridge and Lasso regression?
What are semantic networks, and how are they used in knowledge extraction from text?
How do you implement feature selection techniques for high-dimensional data?
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