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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 apply data smoothing techniques for time-series forecasting?
RELATED INTERVIEW QUESTIONS
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
How do you evaluate the stability of a clustering algorithm over different datasets?
What is time-series forecasting, and how do you handle seasonality in models?
What is the importance of model interpretability in real-world data analytics applications?
What is recurrent neural network (RNN), and how is it different from traditional neural networks? In what kind of problems would you apply
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
What is the difference between classification and regression problems in analytics?
What are decision trees, and how are they used in classification tasks?
What are data imputation techniques, and how are they used for handling missing data?
What are the advantages and disadvantages of using deep learning for structured data analysis?
What is AdaBoost, and how does it improve the performance of weak learners?
What are the types of biases in data analysis and how can they be minimized?
What is the significance of the ROC-AUC score in evaluating classification models?
What is the role of visualization in data analysis, and which Python libraries would you use?
How do you ensure that your data pipeline is scalable for large datasets?
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