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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How would you apply cross-validation to avoid overfitting in a machine learning model?
RELATED INTERVIEW QUESTIONS
What is the role of data imputation in handling missing data?
How do you detect data imbalances in a classification problem and address them?
What is the difference between regression and classification models in machine learning?
How do you handle categorical data in machine learning models?
What are data imputation techniques, and how are they used for handling missing data?
Explain the role of feature scaling in improving the performance of machine learning algorithms.
How do you perform feature scaling, and what are its benefits in machine learning?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
Explain how data integrity is maintained in a multi-source data environment.
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What is multi-objective optimization, and how does it differ from single-objective optimization?
Explain how hyperparameter optimization improves machine learning model performance.
Explain the concept of Markov Chains and its use in data modeling.
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
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