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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 deal with class imbalance in classification models?
RELATED INTERVIEW QUESTIONS
Explain how overfitting and underfitting affect the performance of a machine learning model.
What is stratified sampling, and when should it be used in machine learning?
Explain the concept of Markov Chains and its use in data modeling.
How do you handle high-dimensional data and reduce the risk of overfitting?
How do you choose the best machine learning algorithm for a given dataset?
What is the bootstrap method, and how is it used for confidence interval estimation?
How do you handle imbalanced datasets in classification models?
What are the advantages of support vector machines (SVM) in classification tasks?
What is the difference between classification and regression problems in machine learning?
What is the Kurtosis of a distribution, and how do you interpret it?
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How do you ensure that your analysis is unbiased when working with large datasets?
What are gradient descent and its variants, and how are they used in machine learning?
What is linear programming, and how does it relate to data optimization problems?
How do you implement a Markov Chain for predictive analytics in customer behavior?
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