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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is regression analysis, and how do you apply it in business analytics?
RELATED INTERVIEW QUESTIONS
What is data anonymization, and why is it essential in data analytics?
How do you evaluate the stability of a clustering algorithm over different datasets?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
How would you handle an imbalanced dataset in a classification problem?
How would you measure the impact of an analytics model in a business setting?
What is the role of visualization in data analysis, and which Python libraries would you use?
Explain how hyperparameter optimization improves machine learning model performance.
How do you handle high-dimensional data and reduce the risk of overfitting?
What are the advantages and disadvantages of using deep learning for structured data analysis?
How do you evaluate the predictive accuracy of a machine learning model?
How do you deal with large-scale, unstructured data in text analytics?
How would you deal with multicollinearity in a regression analysis?
What is causal inference, and how does it differ from correlation analysis?
What is the difference between KNN and SVM in classification tasks?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
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