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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are the advantages of support vector machines (SVM) in classification tasks?
RELATED INTERVIEW QUESTIONS
How do you measure the generalization error of a machine learning model?
What is the role of cloud computing in enabling data analytics at scale?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
How do support vector machines (SVM) work, and why are they used in classification problems?
What is Data Analytics, and how is it used to make better business decisions? Explain its key techniques and applications with examples.
What is the role of decision trees in building interpretable machine learning models?
What are the advantages of using deep learning over traditional machine learning in analytics?
What is the difference between classification and regression problems in analytics?
What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
What is the Kurtosis of a distribution, and how do you interpret it?
What are the challenges of working with unstructured data, and how can they be overcome?
How do you apply gradient descent in training deep neural networks?
What is deep learning and how is it used for image recognition?
What is the importance of model validation and how do you perform it in practice?
How do you address skewed data distributions in machine learning models?
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