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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is Boosting in machine learning, and how does it work?
RELATED INTERVIEW QUESTIONS
What is Bagging in machine learning, and how does it reduce overfitting?
How do you perform dimensionality reduction, and why is it essential in machine learning?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
What are convex optimization techniques, and why are they important in machine learning?
How do you implement feature selection techniques for high-dimensional data?
What is the role of feature scaling in improving machine learning model accuracy?
How do you implement automated machine learning (AutoML) tools in your workflow?
How do you decide whether to use a parametric or non-parametric statistical method?
How do you evaluate the stability of a clustering algorithm over different datasets?
Explain how an ensemble learning method like Random Forest improves model performance.
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
How do you handle high-dimensional data and reduce the risk of overfitting?
Explain the difference between supervised and unsupervised learning with examples.
What are the best practices for analyzing real-time data streams?
How do you assess the impact of outliers in your data and model predictions?
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