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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you analyze multi-class classification problems with machine learning?
RELATED INTERVIEW QUESTIONS
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
How do you optimize machine learning models for real-time decision-making?
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
What is the significance of hypothesis testing in data analysis?
How would you apply cross-validation to avoid overfitting in a machine learning model?
What is data leakage, and how can you prevent it in your analytics projects?
How do you evaluate model stability and ensure it performs well over time?
What are support vector machines (SVM) and how do they classify data?
How do you handle multicollinearity in regression models?
Explain the concept of ensemble learning and its applications in classification and regression problems.
What is the difference between batch normalization and layer normalization in deep learning?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What are LSTM networks, and how do they handle sequential data?
What are the different types of machine learning models used for predictive analytics?
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