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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
RELATED INTERVIEW QUESTIONS
How do you apply data smoothing techniques for time-series forecasting?
How does feature scaling improve the performance of gradient-based learning algorithms?
How do you handle heteroscedasticity in regression models?
What is the difference between classification and regression problems in machine learning?
Explain how latent variable models work in data analytics.
How do you detect data imbalances in a classification problem and address them?
How do you identify and resolve data leakage in machine learning models?
How do you perform sentiment analysis on social media data?
How do you handle multivariate time series data for forecasting?
How do you handle high-cardinality categorical features in machine learning models?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
What is tuning in machine learning, and how do you apply it to hyperparameters?
What is the role of Bayesian methods in data analytics, and how do they compare to frequentist approaches?
What is the Kurtosis of a distribution, and how do you interpret it?
What is the difference between parametric and non-parametric tests in hypothesis testing?
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