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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 accuracy paradox and how does it affect model evaluation?
RELATED INTERVIEW QUESTIONS
Explain how hyperparameter optimization improves machine learning model performance.
What is the significance of feature importance in decision tree algorithms?
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
Explain how data integrity is maintained in a multi-source data environment.
Explain how you would deal with missing data in a large dataset.
How do you use clustering for market segmentation in customer analytics?
How do you evaluate the predictive accuracy of a machine learning model?
How would you handle an imbalanced dataset in a classification problem?
How do you select relevant features from a dataset to improve model accuracy?
How do you implement a Markov Chain for predictive analytics in customer behavior?
What is data lineage, and how does it help in tracking data flow?
Explain the difference between bagging and boosting techniques.
What are decision trees, and how are they used in classification tasks?
How does ensemble learning work, and when should it be applied?
How do you assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
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