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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
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 deal with skewed data in regression models?
What is the role of cloud computing in enabling data analytics at scale?
What are the challenges of data visualization, and how do you overcome them?
What is dimensionality reduction, and why is it important in data analytics?
How do you use clustering for market segmentation in customer analytics?
Explain the Naive Bayes algorithm and its application in data analytics.
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
How does the k-means clustering algorithm work and when should it be used?
What are active learning methods, and when would you apply them in data analytics?
What is overfitting, and how can it be avoided using regularization techniques?
How do you assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
What are the major differences between SQL and NoSQL databases in data analytics?
How do you evaluate the performance of clustering algorithms, and what metrics would you use?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
What are the advantages and disadvantages of using deep learning for structured data analysis?
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