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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
What is the significance of the ROC-AUC score in evaluating classification models?
RELATED INTERVIEW QUESTIONS
How would you visualize high-dimensional data using dimensionality reduction techniques?
What is the difference between parametric and non-parametric tests in hypothesis testing?
How do you assess model accuracy when working with time-series data?
Explain the role of feature scaling in improving the performance of machine learning algorithms.
What are the best practices for analyzing real-time data streams?
What are the best practices for implementing cloud-based analytics for large-scale datasets?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
How would you handle noisy data when training a machine learning model?
What is the significance of feature importance in decision tree algorithms?
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 handle high-cardinality categorical features in machine learning models?
How do you perform feature scaling, and what are its benefits in machine learning?
How do you use bootstrapping in model evaluation, and what are its advantages?
How do you evaluate model robustness to different types of input data?
What is the curse of dimensionality, and how does it impact data analysis?
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