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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
Explain the difference between data mining and data analytics.
RELATED INTERVIEW QUESTIONS
Explain how latent variable models work in data analytics.
How do you perform dimensionality reduction, and why is it essential in machine learning?
How does bootstrapping improve model accuracy in statistical analysis?
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
What is the role of data imputation in handling missing data?
What is the difference between parametric and non-parametric tests in hypothesis testing?
What is dimensionality reduction, and how does it improve model performance?
How do you handle categorical data in machine learning models?
How would you use cluster analysis for market segmentation?
What is linear programming, and how does it relate to data optimization problems?
What are the different types of feature engineering methods and how do they impact model performance?
Explain the difference between bagging and boosting techniques.
Explain the difference between random forests and gradient boosting methods.
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
Explain the concept of a data pipeline and its components in an analytics workflow.
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