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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are time-series cross-validation techniques, and how are they applied in forecasting?
RELATED INTERVIEW QUESTIONS
What is time-series analysis, and what techniques do you use for it?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
What is linear programming, and how does it relate to data optimization problems?
What is time-series forecasting, and how do you approach it using machine learning algorithms?
Explain the concept of bias-variance tradeoff in machine learning.
What is recurrent neural network (RNN), and how is it different from traditional neural networks? In what kind of problems would you apply
How do you perform dimensionality reduction, and why is it essential in machine learning?
How do you use time-series decomposition to analyze seasonal trends?
What is the difference between KNN and SVM in classification tasks?
How do you implement supervised learning for predictive modeling in healthcare analytics?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
How would you implement real-time data analytics for fraud detection?
What are the differences between deep learning and ensemble methods in predictive analytics?
What is the role of feature scaling in improving machine learning model accuracy?
What is Data Analytics, and how is it used to make better business decisions? Explain its key techniques and applications with examples.
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