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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
Explain the difference between data mining and data analytics.
RELATED INTERVIEW QUESTIONS
How do you handle outliers in time-series data?
How do you handle unstructured data in analytics models?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
What is time-series analysis, and what techniques do you use for it?
What are support vector machines (SVM) and how do they classify data?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
How would you perform outlier detection using Isolation Forest?
What are the advantages of using XGBoost over other machine learning algorithms?
Explain how you would deal with missing data in a large dataset.
Explain the concept of ensemble learning and its applications in classification and regression problems.
How do you evaluate model performance when the dataset is small and unbalanced?
How do you optimize the hyperparameters of machine learning algorithms?
What are convex optimization techniques, and why are they important in machine learning?
Explain the concept of a precision-recall curve and when to use it.
What is the significance of hypothesis testing in data analysis?
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