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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you ensure that your data pipeline is scalable for large datasets?
RELATED INTERVIEW QUESTIONS
How do you detect data imbalances in a classification problem and address them?
Explain the concept of a precision-recall curve and when to use it.
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
How would you assess the performance of a machine learning model over time?
What is feature selection, and how does it impact the model’s performance?
What are the key steps in building a robust machine learning pipeline for predictive analytics?
How do you analyze multi-class classification problems with machine learning?
Explain how hyperparameter optimization improves machine learning model performance.
What is the accuracy paradox and how does it affect model evaluation?
What are the types of biases in data analysis and how can they be minimized?
What is the significance of A/B testing in optimizing data-driven decisions?
What is the difference between precision and accuracy in the context of classification problems?
What is time-series forecasting, and how do you handle seasonality in models?
What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
What are the best practices to ensure model interpretability and explainability?
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