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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
How do you perform dimensionality reduction, and why is it essential in machine learning?
Explain how hyperparameter optimization improves machine learning model performance.
How do you handle unstructured data in analytics models?
What are the different methods for handling missing data in datasets?
How do you handle multivariate time series data for forecasting?
What is feature selection, and how does it impact the model’s performance?
How would you measure the impact of an analytics model in a business setting?
Explain the concept of model overfitting and how can it be mitigated.
How do you handle high-dimensional data and reduce the risk of overfitting?
How do you ensure reproducibility in your data analysis pipelines?
What is the significance of feature importance in decision tree algorithms?
What is the difference between classification and regression problems in analytics?
How does the k-means clustering algorithm work and when should it be used?
What is the role of data imputation in handling missing data?
What is recurrent neural network (RNN), and how is it different from traditional neural networks? In what kind of problems would you apply
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