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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is the importance of data preprocessing in machine learning, and what steps are involved?
RELATED INTERVIEW QUESTIONS
What is the role of decision trees in building interpretable machine learning models?
What are the best practices for implementing cloud-based analytics for large-scale datasets?
How do you use SQL to perform data manipulation and aggregation in an analytics project?
How do you handle outliers in time-series data?
What is reinforcement learning, and where is it applied in business analytics?
What is ensemble learning, and why is it useful in machine learning?
What are LSTM networks, and how do they handle sequential data?
What is the role of data enrichment in data analytics, and how is it achieved?
What is the difference between deterministic and stochastic models in analytics?
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
What is the role of data normalization in machine learning?
How do you handle multicollinearity in regression models?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What is the role of Bayesian methods in data analytics, and how do they compare to frequentist approaches?
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