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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 why is it important in data analytics?
RELATED INTERVIEW QUESTIONS
What are the ethical considerations when analyzing customer data in analytics?
What is the Kurtosis of a distribution, and how do you interpret it?
What is Principal Component Analysis (PCA) used for in data reduction?
How do you perform feature scaling, and what are its benefits in machine learning?
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
What are the benefits of using cloud analytics over on-premise solutions?
How would you evaluate the performance of a recommendation system?
Explain the concept of a precision-recall curve and when to use it.
How do you apply gradient descent in training deep neural networks?
How do you prevent model bias in machine learning algorithms?
What is the confusion matrix, and how does it help evaluate classification models?
How do you handle outliers in time-series data?
What is the difference between parametric and non-parametric tests in hypothesis testing?
What is recurrent neural network (RNN), and how is it different from traditional neural networks? In what kind of problems would you apply
What is the role of data enrichment in data analytics, and how is it achieved?
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