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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 evaluate model performance when the dataset is small and unbalanced?
RELATED INTERVIEW QUESTIONS
What is the role of data enrichment in data analytics, and how is it achieved?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
What are the differences between deep learning and ensemble methods in predictive analytics?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
What is the difference between parametric and non-parametric tests in hypothesis testing?
What is the accuracy paradox and how does it affect model evaluation?
What are the key differences between machine learning and deep learning models?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
How do you handle imbalanced datasets in classification models?
How would you handle noisy data when training a machine learning model?
What is the significance of feature importance in decision tree algorithms?
What are gradient descent and its variants, and how are they used in machine learning?
What is stratified sampling, and when should it be used in machine learning?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
How do you choose the best machine learning algorithm for a given dataset?
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