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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is Boosting in machine learning, and how does it work?
RELATED INTERVIEW QUESTIONS
What is the importance of using dropout in deep learning models?
How would you perform real-time data analysis using Kafka and Spark?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
What is the difference between correlation and causality?
What are the best practices to ensure model interpretability and explainability?
What is data anonymization, and why is it essential in data analytics?
Explain how principal component analysis (PCA) works for dimensionality reduction.
How do you analyze multi-class classification problems with machine learning?
What are the advantages of support vector machines (SVM) in classification tasks?
What are the advantages of using XGBoost over other machine learning algorithms?
What is the difference between random forests and decision trees?
How do you implement feature selection techniques for high-dimensional data?
How do you implement supervised learning for predictive modeling in healthcare analytics?
Explain how backpropagation works in training neural networks.
What is the role of Shannon entropy in feature selection?
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