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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is stratified sampling, and when should it be used in machine learning?
RELATED INTERVIEW QUESTIONS
What are the steps involved in building a recommendation system for e-commerce?
Explain the role of backpropagation in training neural networks.
How would you optimize the performance of a recommendation system for personalized product suggestions?
How do you evaluate the stability of a clustering algorithm over different datasets?
How do you analyze multi-class classification problems with machine learning?
Explain how data integrity is maintained in a multi-source data environment.
What is the significance of feature importance in decision tree algorithms?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
What are the advantages of support vector machines (SVM) in classification tasks?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
What is the difference between batch processing and streaming in big data analytics?
How do you select the best machine learning model for a given dataset?
How do you deal with class imbalance in classification models?
How do you handle heteroscedasticity in regression models?
What is the importance of using dropout in deep learning models?
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