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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 high-cardinality categorical features in machine learning models?
RELATED INTERVIEW QUESTIONS
Explain how an ensemble learning method like Random Forest improves model performance.
How would you implement real-time data analytics for fraud detection?
What is the difference between regression and classification models in machine learning?
How do you ensure that your data pipeline is scalable for large datasets?
How do you apply Shannon entropy in data analytics for feature selection?
What is the difference between segmentation and clustering in data analytics?
How do you apply gradient descent in training deep neural networks?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
What are data imputation techniques, and how are they used for handling missing data?
What is the purpose of a ROC curve in model evaluation?
How do you implement feature selection techniques for high-dimensional data?
What is AdaBoost, and how does it improve the performance of weak learners?
What is ensemble learning, and why is it useful in machine learning?
What is time-series forecasting, and how do you approach it using machine learning algorithms?
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
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