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HTML
CSS
Python
PHP
Elastic Stack
MySQL
Shobha
The best way to predict the future is to invent it
Explain how hyperparameter optimization improves machine learning model performance.
RELATED INTERVIEW QUESTIONS
Explain how overfitting and underfitting affect the performance of a machine learning model.
What is the difference between relative, absolute, fixed, and sticky positioning?
What are the implications of using the id attribute multiple times on the same page?
How does the Elbow Method help in determining the number of clusters in K-Means clustering?
How do you handle print styles in CSS?
Can you explain Pythons with statement and its context managers?
What is the <output> tag in HTML5 used for?
What are the differences between position: static and position: fixed?
What is the purpose of the @keyframes rule in CSS animations?
How do you handle high-dimensional data and reduce the risk of overfitting?
What is the purpose of the :focus and :focus-within pseudo-classes?
How do you create a responsive grid using calc() function in CSS?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
How does the async attribute in the <script> tag affect JavaScript execution?
What is the purpose of isolation in CSS?
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