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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 identify and resolve data leakage in machine learning models?
RELATED INTERVIEW QUESTIONS
What are time-series cross-validation techniques, and how are they applied in forecasting?
What are the ethical considerations when analyzing customer data in analytics?
What are the key steps in building a robust machine learning pipeline for predictive analytics?
How do you evaluate model robustness to different types of input data?
What is the difference between precision and accuracy in the context of classification problems?
What are the major differences between SQL and NoSQL databases in data analytics?
How do you select relevant features from a dataset to improve model accuracy?
How do you perform feature scaling, and what are its benefits in machine learning?
How would you use cluster analysis for market segmentation?
How do you implement automated machine learning (AutoML) tools in your workflow?
Explain how latent variable models work in data analytics.
How would you deal with multicollinearity in a regression analysis?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
What are the advantages of using convolutional neural networks (CNN) in image analytics?
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
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