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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you use SQL to perform data manipulation and aggregation in an analytics project?
RELATED INTERVIEW QUESTIONS
Explain how principal component analysis (PCA) works for dimensionality reduction.
What is the confusion matrix, and how does it help evaluate classification models?
What is the accuracy paradox and how does it affect model evaluation?
What are decision trees, and how are they used in classification tasks?
How would you assess the performance of a machine learning model over time?
What are convex optimization techniques, and why are they important in machine learning?
What is a confusion matrix, and how do you calculate its various metrics?
What is the difference between parametric and non-parametric tests in hypothesis testing?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
How do you handle and process categorical data in machine learning algorithms?
How do you handle high-cardinality categorical features in machine learning models?
What are active learning methods, and when would you apply them in data analytics?
What are the main differences between batch processing and real-time processing in data analytics?
What is the significance of hypothesis testing in data analysis?
What are gradient descent and its variants, and how are they used in machine learning?
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