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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 handle heteroscedasticity in regression models?
RELATED INTERVIEW QUESTIONS
What is the importance of using dropout in deep learning models?
What are the differences between bagging and boosting in ensemble methods?
What is the difference between batch normalization and layer normalization in deep learning?
What are the types of biases in data analysis and how can they be minimized?
Explain how an ensemble learning method like Random Forest improves model performance.
How would you evaluate model performance in an imbalanced dataset problem?
What are convex optimization techniques, and why are they important in machine learning?
How do you assess model accuracy when working with time-series data?
What are the main differences between batch processing and real-time processing in data analytics?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
How do you assess the impact of outliers in your data and model predictions?
What is AdaBoost, and how does it improve the performance of weak learners?
How would you use cluster analysis for market segmentation?
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
How would you perform outlier detection using Isolation Forest?
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