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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is the importance of heteroscedasticity in regression models?
RELATED INTERVIEW QUESTIONS
How do you address skewed data distributions in machine learning models?
Explain how you would deal with missing data in a large dataset.
PHP vs Python: Features, Differences and Benefits in 2025
How would you handle seasonality in a time-series forecasting problem?
What is the F1-score in classification tasks, and why is it important?
What is AdaBoost, and how does it improve the performance of weak learners?
How do you optimize machine learning models for real-time decision-making?
How do you deal with temporal dependencies in time-series forecasting?
How would you measure the impact of an analytics model in a business setting?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
How do you use bootstrapping in model evaluation, and what are its advantages?
Explain how an ensemble learning method like Random Forest improves model performance.
What is Bagging in machine learning, and how does it reduce overfitting?
How do you use data augmentation to improve a deep learning model’s performance?
Explain the concept of data wrangling and its importance in data analytics.
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