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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
Explain the difference between random forests and gradient boosting methods.
RELATED INTERVIEW QUESTIONS
What is the significance of hypothesis testing in data analysis?
How do you use time-series decomposition to analyze seasonal trends?
Explain the concept of hyperparameter tuning and its role in model optimization.
What are the advantages of using convolutional neural networks (CNN) in image analytics?
How do support vector machines (SVM) work, and why are they used in classification problems?
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What is the curse of dimensionality and how does it affect machine learning models?
What is gradient boosting and why is it more effective than traditional decision trees?
What is Bagging in machine learning, and how does it reduce overfitting?
How does the k-means clustering algorithm work and when should it be used?
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How do you analyze multi-class classification problems with machine learning?
What is deep learning and how is it used for image recognition?
What is the confusion matrix, and how does it help evaluate classification models?
What is recurrent neural network (RNN), and how is it different from traditional neural networks? In what kind of problems would you apply
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