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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How does ensemble learning work, and when should it be applied?
RELATED INTERVIEW QUESTIONS
Explain the concept of Markov Chains and its use in data modeling.
Explain the concept of gradient boosting and its advantages over traditional decision trees.
What is feature importance, and how do you evaluate it for machine learning models?
How do support vector machines (SVM) work, and why are they used in classification problems?
Explain the Naive Bayes algorithm and its application in data analytics.
Explain the concept of bias-variance tradeoff in machine learning.
How would you apply ensemble learning techniques for improving the accuracy of machine learning models?
What are the steps involved in building a recommendation system for e-commerce?
What is dimensionality reduction, and how does it improve model performance?
How would you perform outlier detection using Isolation Forest?
Explain how an ensemble learning method like Random Forest improves model performance.
Explain how hyperparameter optimization improves machine learning model performance.
What is the importance of data preprocessing in machine learning, and what steps are involved?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
How do you handle a large dataset that does not fit into memory?
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