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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 optimize model performance in an unsupervised learning task?
RELATED INTERVIEW QUESTIONS
How do you build a predictive model for sales forecasting in e-commerce?
How do you ensure that your analysis is unbiased when working with large datasets?
What is XGBoost, and how does it differ from other boosting algorithms?
How do you assess model accuracy when working with time-series data?
How do you perform A/B testing for evaluating the performance of a new marketing campaign?
How do you implement automated machine learning (AutoML) tools in your workflow?
How do you handle multivariate time series data for forecasting?
What are the common types of clustering algorithms, and how do you choose between them?
What are time-series cross-validation techniques, and how are they applied in forecasting?
What are data imputation techniques, and how are they used for handling missing data?
What is the role of unsupervised learning in anomaly detection?
What is model drift, and how can it affect predictive analytics models?
How would you evaluate and select the best machine learning model for a specific use case?
How do you handle high-cardinality categorical features in machine learning models?
What are the types of biases in data analysis and how can they be minimized?
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