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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
How do you use time-series decomposition to analyze seasonal trends?
RELATED INTERVIEW QUESTIONS
What is recurrent neural network (RNN), and how is it different from traditional neural networks? In what kind of problems would you apply
Explain the concept of a precision-recall curve and when to use it.
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
How do you evaluate the effectiveness of an outlier detection model?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
How do you balance the trade-off between bias and variance in machine learning?
What are the primary steps involved in preparing data for a machine learning model?
How do you address skewed data distributions in machine learning models?
What is the significance of hyperparameter tuning in optimizing machine learning models?
How would you implement a recommendation system for e-commerce websites?
What are the challenges of working with unstructured data, and how can they be overcome?
How do you ensure that your analysis is unbiased when working with large datasets?
What is time-series forecasting, and how do you handle seasonality in models?
What is the purpose of a ROC curve in model evaluation?
What is linear programming, and how does it relate to data optimization problems?
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