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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
Explain the difference between bagging and boosting techniques.
RELATED INTERVIEW QUESTIONS
What is the difference between precision and accuracy in the context of classification problems?
What are the ethical considerations when analyzing customer data in analytics?
What is linear programming, and how does it relate to data optimization problems?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
What is reinforcement learning, and where is it applied in business analytics?
What is the role of data normalization in machine learning?
How do you measure the generalization error of a machine learning model?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What is deep learning and how is it used for image recognition?
What are the differences between deep learning and ensemble methods in predictive analytics?
Explain data leakage and how to prevent it in machine learning models.
What are time-series cross-validation techniques, and how are they applied in forecasting?
How do you handle high-dimensional data and reduce the risk of overfitting?
What is causal inference, and how does it differ from correlation analysis?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
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