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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 importance of hyperparameter tuning in improving machine learning models.
RELATED INTERVIEW QUESTIONS
How do you handle multivariate time series data for forecasting?
Explain the concept of ensemble learning and its applications in classification and regression problems.
What is overfitting, and how can it be avoided using regularization techniques?
How do you use clustering for market segmentation in customer analytics?
What is the difference between correlation and causality?
How do you implement automated machine learning (AutoML) tools in your workflow?
What is the bootstrap method, and how is it used for confidence interval estimation?
Explain the role of backpropagation in training neural networks.
How do you ensure that a machine learning model is interpretable for non-technical stakeholders?
How do you apply data smoothing techniques for time-series forecasting?
Explain the concept of model overfitting and how can it be mitigated.
What are the different types of machine learning models used for predictive analytics?
How would you handle an imbalanced dataset in a classification problem?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
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