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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is reinforcement learning, and where is it applied in business analytics?
RELATED INTERVIEW QUESTIONS
What are time-series cross-validation techniques, and how are they applied in forecasting?
How do you handle textual data when working with machine learning models?
How do you deal with skewed data in regression models?
How do you implement automated machine learning (AutoML) tools in your workflow?
How do you implement supervised learning for predictive modeling in healthcare analytics?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
How do you handle outliers in time-series data?
What are the most important performance metrics for classification models?
How do you decide whether to use a parametric or non-parametric statistical method?
Explain the concept of a data pipeline and its components in an analytics workflow.
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
What are the challenges of data visualization, and how do you overcome them?
What are the different types of machine learning models used for predictive analytics?
How do you use decision trees for feature selection in machine learning?
What is the significance of the ROC-AUC score in evaluating classification models?
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