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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you apply data smoothing techniques for time-series forecasting?
RELATED INTERVIEW QUESTIONS
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
How do you handle high-cardinality categorical features in machine learning models?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
What are the best practices for implementing cloud-based analytics for large-scale datasets?
What is the confusion matrix, and how does it help evaluate classification models?
What is the importance of data privacy in analytics, and how do you ensure compliance?
Explain the importance of hyperparameter tuning in improving machine learning models.
How do you apply gradient descent in training deep neural networks?
What are the limitations of using random forests for classification tasks?
What are convex optimization techniques, and why are they important in machine learning?
What is the Kurtosis of a distribution, and how do you interpret it?
How do you perform outlier detection using machine learning techniques?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
What are the key differences between a decision tree and a random forest?
What are the different types of machine learning models used for predictive analytics?
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