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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 difference between classification and regression problems in analytics?
RELATED INTERVIEW QUESTIONS
How do you handle high-velocity data in real-time analytics applications?
What are the differences between bagging and boosting in ensemble methods?
How do you evaluate the predictive accuracy of a machine learning model?
What is the significance of feature importance in decision tree algorithms?
What is an anomaly detection system, and how would you implement it in Python?
What is feature importance, and how do you evaluate it for machine learning models?
How do you deal with large-scale, unstructured data in text analytics?
How do you perform A/B testing for evaluating the performance of a new marketing campaign?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
Explain how overfitting and underfitting affect the performance of a machine learning model.
Explain the concept of model overfitting and how can it be mitigated.
What is the confusion matrix, and how does it help evaluate classification models?
How do you ensure reproducibility in your data analysis pipelines?
How do you implement a Markov Chain for predictive analytics in customer behavior?
How do you evaluate model robustness to different types of input data?
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