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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are the challenges of data visualization, and how do you overcome them?
RELATED INTERVIEW QUESTIONS
How do you handle high-dimensional data and reduce the risk of overfitting?
What are convolutional neural networks (CNN) used for in image recognition?
What are time-series cross-validation techniques, and how are they applied in forecasting?
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Explain how latent variable models work in data analytics.
What is overfitting, and how can it be avoided using regularization techniques?
Explain the concept of a precision-recall curve and when to use it.
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What are the differences between Ridge and Lasso regression?
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What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
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How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
What is data integrity, and how is it maintained in a database?
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