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HTML
CSS
Python
PHP
Elastic Stack
MySQL
Shobha
The best way to predict the future is to invent it
What is the importance of data preprocessing in machine learning, and what steps are involved?
RELATED INTERVIEW QUESTIONS
What is Python’s subprocess.call() method used for?
How do you convert data between different formats (e.g., CSV to JSON) in Python?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
How do you implement feature selection techniques for high-dimensional data?
How does the cascade work in CSS, and how do you manage conflicting styles?
What is the difference between nth-child() and nth-of-type()?
What is the significance of hypothesis testing in data analysis?
How do you optimize CSS for faster rendering in browsers?
How do you use media queries for high-resolution displays (like Retina displays)?
What are Python decorators, and how are they used?
How does the concept of cross-validation help prevent overfitting in machine learning models?
What is the difference between del and remove() in Python lists?
How do you implement a custom exception in Python?
How does bootstrapping improve model accuracy in statistical analysis?
Can you describe how HTML5s <progress> and <meter> tags are used to display progress bars or measurements?
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