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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is dimensionality reduction, and why is it important in data analytics?
RELATED INTERVIEW QUESTIONS
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
What is data lineage, and how does it help in tracking data flow?
How do you handle outliers in time-series data?
What is the role of visualization in data analysis, and which Python libraries would you use?
How do you measure the generalization error of a machine learning model?
How do you assess the impact of outliers in your data and model predictions?
How do you evaluate model performance when the dataset is small and unbalanced?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
What is causal inference, and how does it differ from correlation analysis?
How would you apply ensemble learning techniques for improving the accuracy of machine learning models?
What is gradient boosting and why is it more effective than traditional decision trees?
How do you handle missing data in large datasets using imputation techniques?
How do you apply gradient descent in training deep neural networks?
What is the difference between deterministic and stochastic models in analytics?
How do you evaluate model stability and ensure it performs well over time?
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