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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
RELATED INTERVIEW QUESTIONS
What is the significance of hypothesis testing in data analysis?
What are semantic networks, and how are they used in knowledge extraction from text?
Explain how data integrity is maintained in a multi-source data environment.
What are the advantages of using convolutional neural networks (CNN) in image analytics?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
What is the confusion matrix, and how does it help evaluate classification models?
How do you use bootstrapping in model evaluation, and what are its advantages?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
How do you detect data imbalances in a classification problem and address them?
Explain how you would deal with missing data in a large dataset.
Explain how you would approach feature engineering for a time-series dataset.
What is the significance of the ROC-AUC score in evaluating classification models?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
What is the role of feature scaling in improving machine learning model accuracy?
How do you decide whether to use a parametric or non-parametric statistical method?
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